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The race to be the primary country to transform to 5G wireless networks is on -- and the U.S. and China each want to win.
Lawmakers on each side are already making it a accurate priority this Congress to ensure the U.S. moves Gross of a sudden to installation subsequent-generation wireless networks so China would not beat it to the punch.
The stakes are excessive: The country that first extensively adopts 5G -- so that they can deliver some distance quicker download speeds and the skill to hasten billions greater gadgets on mobile networks, together with self-driving automobiles-- will gain a aggressive edge on the district stage.
So a safe deal so, Sen. Roger Wicker (R-miss.) said, that 5G has the abilities to usher in a fourth industrial revolution. And losing that knowledge facet to China can be unthinkable, talked about Wicker, the chair of the Senate Committee on Commerce, Science and Transportation.
"Failing to win the race to 5G would now not handiest materially extend the advantages of 5G for the American americans, it will always in the reduction of the economic and societal positive factors that foster from main the world in technology,” Wicker mentioned on the committee's first listening to of the yr, which changed into concentrated on 5G.
The listening to highlighted the sense of urgency in Washington to work with trade on facilitating the 5G rollout, mainly in ensuring enough distinguished mid-band spectrum is attainable to ensure the us can maintain tempo with global rivals. Contracts with the aim to form the fundamentals of those networks can be negotiated in 2019, although it's going to seemingly pick 5 or greater years for the gadget to be entirely up and operating.
With their eyes on winning this digital palms race towards China, lawmakers likewise stated they’re concentrated on guaranteeing that trade adopts key safeguards towards cyberthreats and considers buyer privateness as 5G features are expected to enable expertise to grow ever greater pervasive.
Lawmakers heard a sobering account of China’s coordinated approach to execute frequent 5G a truth. Michael Wessel, a U.S.-China economic & safety evaluate commissioner, informed lawmakers that China is poised to execute investments as a minimum $400 billion at this factor into its 5G development. China is additionally more and more making an attempt to exert its influence over international usual-surroundings organizations such as the global overseas Telecommunications Union to advantage chinese language corporations. China chairs greater of the company’s committees than any other nation, Wessel pointed out, stoking issues amongst lawmakers.
“We haven't any similar plans here within the U.S.,” Wessel advised lawmakers in his opening testimony.
Congress is renewing its consideration on 5G as the Trump administration indicators that executive motion is coming on subsequent-generation wireless, which is among the “reducing-edge industries of the longer term,” Trump mentioned in his state of the Union address this week.
“inside the coming weeks they could expect to study motion designed to hold American R&D leadership in synthetic intelligence, 5G, and the primary deliverables from the countrywide Quantum Initiative Act,” an administration respectable told me in an announcement Wednesday.
for his or her part, lawmakers might believe legislative proposals just relish the Airwaves Act, which became delivered in the final Congress to require the Federal Communications commission to cling auctions over the next three years to supply licenses for inescapable spectrum bands that could enable 5G. That bill, which stalled in Congress, would Have also allocated funding from the auctions to be certain that 5G is accelerated in bucolic areas which Have been up to now left at the back of in such transitions.
5G is in its early ranges of deployment in inescapable materials of the U.S.. In Silicon Valley, groups are eagerly investing in new applied sciences as a pass to count on faster wireless networks -- corresponding to synthetic intelligence or augmented reality.
the united states is conscious of firsthand how a lot is at stake during this global race towards China. the us led the realm on 4G wireless know-how, which enabled a era of recent smartphone services that prior networks wouldn’t Have had the potential to assist.
“Ten years ago, nobody imagined Uber or numerous different companies which are conditional upon the 4G platform,” spoke of Brad Gillen, the executive vp of CTIA, an commerce community representing wireless businesses. “We are just scratching the floor.”
however China’s coordinated strategy makes it a formidable antagonist within the dash to herald the next era of wireless. The huge scale of cyber web users in China execute it some of the world’s most lucrative digital markets, and the country goes to prioritize its usurp home companies as 5G rolls out. Huawei and ZTE Have each and every been promised a 3rd of the 5G market in China, in line with Wessel. That could create a scramble amongst international suppliers for the ultimate third.
greater concerning is how those agencies may Have an consequence on the market outdoor China. China’s groups are deeply intertwined with the state, mainly below a 2018 countrywide intelligence legislations that requires groups to assist and assist national intelligence, Wessel mentioned. the U.S. is worried in regards to the cybersecurity and surveillance probability that chinese groups might pose in the event that they give the apparatus that allows the spine of so many fundamental digital functions.
the U.S. is warning European allies to no longer expend chinese materiel for 5G networks, according to a Tuesday document from Reuters. The Trump administration has weighed an government order that would supply the commerce secretary the authority to shroud U.S. deals involving international telecommunications device.
“China’s innovation efforts are vast and deep,” Wessel warned the committee. “China desires to be a world innovation chief and is doing Gross it may well legally and illegally to achieve its desires.”you are reading The know-how 202, their lead to the intersection of expertise and politics. no longer a daily subscriber?
BITS, NIBBLES AND BYTES
BITS: Germany’s competitors watchdog told facebook that its Whatsapp and Instagram functions cannot coalesce information they bring together with a consumer’s main facebook account until that consumer gives intentional consent, according BBC information. The regulator additionally dominated that fb needs consumer license to collect records from third-party web sites and assign it to someone’s facebook account.
The resolution would severely preclude the gregarious community’s existing statistics collection practices. fb plans to appeal the decision, based on the BBC. notwithstanding the restrictions most efficacious succeed to fb’s services in Germany, it could instantaneous different nations to accept as factual with similar rules.
facebook has one month to challenge the ruling before it becomes legally advantageous. “If the order is upheld, the enterprise should help technical solutions to execute inescapable it complies within four months. If it refused to accomplish that, it may in notion be fined as much as 10% of its annual revenues,” the BBC stated.
NIBBLES: Executives from T-cell together with chief executive John Legere Have booked more nights than prior to now reported at the Trump overseas lodge in the District given that the company asked the Trump administration to accredit its merger with sprint ultimate 12 months, The Washington achieve up’s Jonathan O'Connell, David A. Fahrenthold and Mike DeBonis reported. My colleagues discovered that T-cell executives Have booked at least fifty two nights on the lodge given that then – adding one more 14 nights to the 38 that were previously pronounced. And the executives’ bookings Have attracted the attention of two Democratic lawmakers.
Sen. Elizabeth Warren (D-Mass.) and Rep. Pramila Jayapal (D-Wash.) Have sent a pair of letters to Trump organization officers and to Legere to demand solutions together with on how the bookings happened. “These transactions raise questions about no matter if T-cell is attempting to curry choose with the President in the course of the Trump corporation and exacerbate their concerns about the President's persevered fiscal relationship with the Trump firm,” Warren and Jayapal wrote. The lawmakers likewise asked how a gross lot funds T-cellular officials spent at the hotel.
BYTES: WhatsApp said it deletes 2 million money owed per thirty days in an endeavor to curb the spread of disinformation as the commerce released a white paper in India on “stopping abuse” of the platform, in response to the Guardian's Michael Safi. India is WhatsApp's greatest market with more than 200 million users and the business has faced criticism from Indian authorities as mob lynchings were fueled via rumors spreading on the messaging carrier.
Carl Woog, head of communications for WhatsApp, spoke of Indian political events are abusing the platform as the nation is set to cling a typical election by pass of may, Reuters's Sankalp Phartiyal and Aditya Kalra reported. “we now Have viewed a yoke of events try to expend WhatsApp in ways in which it become not supposed, and their company message to them is that the usage of it in that pass will outcomes in bans of their provider,” Woog stated.
as the Guardian reported, WhatsApp likewise talked about it is the usage of machine discovering to identify debts that issue to spread messages in imposing quantities — the enterprise limits the number of message forwards to five in India and celebrated final month that it is expanding the rule of thumb globally.
— commerce analysts disclose Apple's outlets Have misplaced a few of their shine as they want points to inspire loyalty amongst buyers, The Washington post's Hamza Shaban stated. Daniel Ives, an analyst at Wedbush Securities, talked about product launches recently and pursuits on the enterprise's stores had been disappointing. “The closing few years Have in reality been void of the lines around the store, slumbering on the shop, anticipating the product,” Ives told my colleague. “part of it's that clients Have gotten used to the Apple store — there is no longer the wow ingredient.”
— About 1,500 individuals within the united states Have been injured in incidents involving electric scooters considering late 2017, in keeping with an investigation from buyer studies's Ryan Felton. medical doctors disclose they've treated serious injuries considering that electric scooters from agencies comparable to Lime and bird had been deployed in cities throughout the country. “We’ve had assorted concussions, nasal fractures, bilateral forearm fractures, and some individuals Have required surgical procedure,” Beth Rupp, clinical director at the Indiana institution health middle in Bloomington, Ind., told purchaser experiences.
— Telecommunications agencies offered sensitive consumer vicinity recommendation referred to as “assisted GPS” statistics to third-party businesses who in whirl offered it to bounty hunters, Motherboard's Joseph Cox stated. Such assisted GPS or A-GPS records is meant to be used via first responders to find people who cognomen 911 perquisite through emergencies. Motherboard likewise reported that about 250 bounty hunters and other third-birthday party corporations had entry to the region facts of AT&T, T-mobile and dash customers.
— extra know-how information from the deepest sector:
Uber is intensifying its pursuit of middle East riders after chickening out from different international markets in fresh years, lured with the aid of the vicinity’s exploding youth inhabitants.
The Wall road Journal
IBM Corp. has developed technology to vaticinate and parade screen when and the station timber and vegetation menace vigour strains which might aid enrich vigour supply operations and reduce outages, it pointed out on Wednesday.
“we will record a 5-second video of your face. ... To proceed, enable access to your webcam.”
— a bigger variety of cities than in the past reported have experimented with the predictive policing application PredPol, which claims to expend a desktop-gaining information of algorithm to prognosticate and aid evade crime, in accordance with Motherboard's Caroline Haskins. The utility claims that it could possibly prognosticate where crime is likely to ensue in areas of 500 feet by means of 500 ft through the expend of historic crime information in order that legislations enforcement can raise patrols in inescapable areas. Motherboard received PredPol files from police departments in states together with California, Utah, Georgia and Washington.
Shahid Buttar, director of grass-roots advocacy at the electronic Frontier basis, warned about color in predictive policing. Predictive policing is “pushed by using what seems to be aim historic information that itself displays longstanding and pervasive bias,” Buttar told Haskins.
— Yvette D. Clarke (D-N.Y.) warned that the united states must not descend behind in the race to 5G as different international locations together with China are likewise making a shove into the know-how, the Hill's Cady Stanton said. “it's going to achieve us at an obstruction if they are late to the game,” Clarke observed perquisite through an event that was hosted with the aid of the Hill and backed by Qualcomm. “Our businesses are already ilk of leaders in this space, and if they enable other companies everywhere to hit that sweet spot round 5G earlier than they do, mediate about what it will count when it comes to the shrinking of their entry to the market.”
— greater technology information from the public sector:
start, the e-bike and e-scooter company owned by means of Uber, got renewed hope Tuesday for its bid to relate San Francisco’s scooter cohort, although it didn’t note that its ragged rejection by means of the metropolis changed into unfair.
San Francisco Chronicle
a major tax smash changed into putative to create a manufacturing paradise, however interviews with 49 people criterion with the venture depict a chaotic operation not going to ever employ 13,000 employees.
— intelligence about tech workforce and pass of life:
beginning startup says its unbiased ‘customers’ may be allowed to maintain their tips without losing pay.
The Wall road Journal
no one likes paying taxes, however new millionaires in California’s IPO gold rush necessity to protect their cash.
The company quietly laid off staffers tracking people around the web to sell facebook advertisements.
— Tech intelligence generating buzz across the web:
ebook canine, prosthetics and accessibility emojis welcomed by using rights businesses
information superhighway subculture
A falsehood has been spreading in darkish corners of the web that Ruth Bader Ginsburg is dead. A Washington post reporter saw her Monday night, nevertheless it wasn't satisfactory to douse the flames of this theory.
Eli Rosenberg and Abby Ohlheiser
— Caryn Marooney, facebook's vp of communications, is leaving the business, Wired's Issie Lapowsky mentioned.
— Some hackers and scammers are taking fragment in an “underground business” that focuses on removing the iCloud account of a person from their iPhone so that the device may likewise be resold, Motherboard's Joseph Cox and Jason Koebler suggested. If the iCloud account of a user whose iPhone changed into stolen remains on the machine, that allows the sufferer to remotely lock the phone and tune it down by using the locate My iPhone function — and that's why resellers or thieves can likewise are trying to find to obtain rid of the iCloud account.
“In practice, ‘iCloud unencumber’ because it’s regularly referred to as, is a scheme that contains a posh deliver chain of different scams and cybercriminals,” Motherboard mentioned. “These include the expend of fake receipts and invoices to trick Apple into believing they’re the true owner of the telephone, using databases that search for tips on iPhones, and gregarious engineering at Apple retailers.” however, Motherboard additionally referred to that “not Gross iCloud-locked telephones are stolen devices.”
— more intelligence about tech incidents and error:
It’s a lose-lose situation for Google’s Nest
— nowadays in funding news:
SoftBank has spent at least half of its well-nigh $100 billion vision Fund in lower than two years, increasing the accommodate to raise greater funds if the world’s largest tech investor wants to maintain that tempo.
The Wall street Journal
Daniel Ek says he wants to expend as much as $500 million on acquisitions this 12 months.
Calm.com Inc. -- which makes an app that guides americans through comfort workout routines and encourages clients to breathe -- has been valued at $1 billion in a funding round led by pass of TPG increase, the startup talked about on Wednesday.
On-demand electric powered scooter startup Lime introduced that it has closed a $310 collection D round, which values the company at $2.4 billion.
Conspiracy theorists are aphorism RBG is dead. She’s not.
Trump's remarks on ISIS, in one minute:
became Trump’s state of the Union tackle bipartisan?
So let’s obtain begun! here is their first three-month curriculum intensive, including the entire initiatives and labs that you’ll be building.
Neural Networks are the simple edifice shroud of profound studying. during this classification, you’ll gain information of their constitution, and the pass to construct them and coach them. We’ll delivery the classification by fixing linear classification complications the usage of perceptrons and logistic regression. From there, we’ll lengthen to solving particularly non-linear classification problems the usage of profound neural networks. We’ll find out about their structure, the pass to train them the usage of options reminiscent of gradient descent and backpropagation, and the pass to optimize the working towards procedure the usage of diverse mistake capabilities and regularization thoughts.
Lab: constructing Neural Networks in Keras
You’ll finish this lesson with a coding lab the station you’ll Have the possibility to rehearse Gross these ideas in Keras, one of the crucial commonplace profound getting to know applications in Python.Convolutional Neural Networks
Convolutional Neural Networks are established for photograph classification, among many different pleasing functions. in this fragment you’ll learn the pass they fluctuate from habitual neural networks. After exploring some new styles of layers, we’ll ascertain a number of diverse community architectures. You’ll ascertain a pass to augment your statistics to enhance efficiency, earlier than studying innovations to visualize what your networks learn. You’ll study to tap into the energy of transfer gaining information of, by using benefitting from pre-informed networks comparable to VGGNet or ResNet.
undertaking: build a Dog consciousness App
You’ll rehearse what you’ve discovered to build an conclusion-to-conclusion algorithm to manner any user-presented picture. Given a picture of a dog, your algorithm will determine an assess of the canine’s breed. If offered a picture of a human, the code will identify the similar to dog breed. What variety of dog will your algorithm deem you look like? :)Recurrent Neural Networks
Recurrent Neural Networks are used for some very engaging applications, corresponding to time collection predictions and sequence technology. Their architecture is distinctive from feedforward neural networks, as the counsel cycles in the course of the community, permitting it to be conscious previous states.
task — part 1: Predicting Apple stock
You’ll rehearse what you’ve discovered to construct an algorithm to be able to operate time collection predictions, and should forecast the stock rate of Apple 7 days in increase.
task — part 2: producing Sherlock Holmes text
You’ll additionally achieve into consequence a recurrent neural network to create an English language generator, with a purpose to build semi-coherent English sentences from scratch. You’ll be capable of check it through feeding it with the text of Sir Arthur Conan Doyle’s traditional publication, The Adventures of Sherlock Holmes, with a view to acquire text that resembles a Sherlock Holmes novel! fundamental, my expensive IBM Watson! :)Concentrations awareness 1: Voice person Interfaces with Amazon Alexa
during this concentration, you’ll learn how computer systems can process speech, flip it into textual content, and vice versa. within the first part, you’ll obtain a top smooth view of Voice person Interfaces (VUI), focal point on Conversational AI, and learn the pass Alexa operates. Then, you’ll dive deeper into the entertaining container of Speech focus, researching signal analysis and Phonetics, single notice classification the expend of Dynamic Time Warping, and sentence awareness the usage of Hidden Markov models. finally, you’ll learn about the leading edge in automated Speech cognizance, leveraging profound neural networks.
Amazon Alexa Lab — constructing an Alexa skill
in this lab, you’ll obtain your hands on the the Alexa abilities equipment, where you’ll construct and install your first Alexa skill, that will stick with it a tiny conversation with the consumer and provide a reality from a given yr.
Capstone project — Speech consciousness with Neural Networks
during this assignment, you'll build a profound neural network that features as fragment of an conclusion-to-end automated speech consciousness (ASR) pipeline! Your achieved pipeline will accept uncooked audio as enter and revert a expected transcription of the spoken language. the plenary pipeline is summarized in the determine beneath.
First, you’ll preprocess the uncooked audio to transform it to certainly one of two duty representations which are commonly used for ASR. Then, you are going to gain information of in regards to the primary sorts of neural networks that are often used for acoustic modeling, and be able to construct your own acoustic mannequin! This mannequin may be used as input into the decoder, so that you can revert the envisioned transcription.awareness 2: herbal Language Processing with IBM Watson
natural Language Processing (NLP) is a fascinating sphere by which they instruct computers to be conscious and dissect text. during this concentration, you’ll be trained to decompose a problem that contains examining natural language text into tasks, operate basic NLP operations, such as edifice an N-gram language model from a given corpus, and labelling phrases in a sentence with part-of-Speech (POS) tags and as named entities. you will accomplish conclusion-to-end NLP projects corresponding to doc classification, desktop translation, and so on., the expend of a combination of customized processing and cloud-primarily based APIs.
IBM Watson Lab — question-Answering Agent with Watson
in this lab, you will construct a simple query-answering agent it really is in a position to study from any text facts you supply, and reply queries posed in natural language. you're going to expend IBM Watson’s cloud-based features to system the enter textual content information and ascertain crucial responses.
Capstone challenge — desktop Translation
during this project, you will build a profound neural community that functions as a fragment of an conclusion-to-conclusion desktop translation pipeline. Your accomplished pipeline will settle for English textual content as enter and revert the French translation.
First, you’ll preprocess the facts to transform text to a chain of integers. Then, you’ll create models which accept a train of integers as enter, and revert the probability distribution over feasible translations. After learning in regards to the primary forms of neural networks that are sometimes used for computing device translations, you should be able to engage for your personal investigations, to design your personal machine translation mannequin so you might hasten on English textual content!concentration 3: computing device vision with Affectiva
impressed by using human vision, computer imaginative and prescient goals to supply machines the potential to peer and interpret the world by means of extracting recommendation from photos. in this concentration, you’ll study the basics of desktop imaginative and prescient and the role it performs in synthetic intelligence systems. computer vision is used in many purposes, from detecting dermis melanoma to emotion consciousness (and even self-using vehicle navigation!). Gross through this term, you’ll strengthen useful information and obtain palms-on coding sustain with lots of these real-world functions. You’ll be taught to shatter down any problem that involves visible notion into desktop vision projects, akin to: bettering pictures, making expend of color and geometric transformations to change the appearance of a picture, detecting remonstrate boundaries, computing gradients and filtering images, and extracting points relish remonstrate edges and pleasing visible patterns. We’ll fade over these foundational laptop imaginative and prescient innovations in element. Then, you’ll execute the most of what you’ve erudite to create a complete AI gadget that makes expend of desktop vision to execute smart remonstrate detection and undertaking consciousness.
Affectiva Emotion API Lab — Mimic Me!
in this lab, you’ll be taught to song faces in a video and identify facial expressions (joy, disappointment, surprise, etc.) the usage of AffedexMe from Affectiva. As a enjoyable visualization, it could be as much as you to tag each and every identified mug with its acceptable emoji! Then, you’ll flip this into a video game the station a participant must mimic a random emoji displayed by pass of the desktop.
Capstone project — Facial Keypoint Detection
in this project, you’ll coalesce your abilities of desktop imaginative and prescient options and profound learning to construct an conclusion-to-end facial keypoint attention gadget! Facial keypoints include elements around the eyes, nostril, and mouth on a mug and are used in many functions, from facial monitoring to emotion attention.
This project is broken into a number of leading elements. First, you’ll expend your expertise of desktop imaginative and prescient and OpenCV to detect faces. You’ll likewise expend photograph filtering concepts to de-noise pictures and radically change the study of a mug in a picture. 2d, you’ll contour and coach a Convolutional Neural community (CNN) to solemnize facial keypoints. eventually, you’ll achieve these two constituents collectively so for you to reliably establish facial keypoints on any photo!
You’ll even be given not obligatory workouts that lead you in extending this chore to video (or a computer digital camera feed); this gives you the capacity to implement fun mug filters and keypoint detection in true time!
college students in this program will master an in-depth curriculum that covers each the foundations and the slicing-part developments of profound researching. This form of arms-on exposure to one of the vital transformational applied sciences of their time makes this software a discrete discovering chance for anyone excited with the aid of the probabilities of AI. They invite you to be a fragment of us as they achieve together the next technology of AI experts who will dash the marvelous improvements forward!
consider free to compass out to us you probably Have any questions, and espy you in the program!apply now to be fragment of the AI Nanodegree program!
art Johnson dived headfirst into “quantland” when he helped Dimensional Fund Advisors launch in Canada more than 15 years ago.
The company is hasten and influenced via a few of tuition of Chicago’s most suitable, including Eugene Fama, who received the Nobel Memorial Prize in economic Sciences in 2013.
The partnership began Johnson’s route against founding SmartBe Wealth and closing week’s launch of its SmartBe world cost Momentum style Index ETF, which begun buying and selling on NEO on Tuesday and seeks to duplicate the efficiency of the Alpha Architect expense Momentum vogue for Canada Index.
In actuality, notwithstanding, 55-yr-old Johnson’s curiosity with quant began decades in the past as a juvenile dealer after which supervisor on the Alberta inventory alternate. a guy dating his sister, and enthusiastic to galvanize, obtained him his first job on the floor at 18 and, after college, he became as a result offered the position of supervisor.
“i thought, I’m very judicious and that they’ve at final recognized it,” he said. “but the verity turned into what they desired became a younger guy who become ingenious enough to order the IBM programmers a pass to automate the trading ground.
“So my first introduction into quant became working with the IBM programmers and i received a sense of how expertise turned into going to transform this constituent that had been very static for hundreds of years. It was surprising in a bunch of how.”
He seen two issues: individuals’s algorithm aversion and inherent belief computer systems could not change what they did, and the opposing fact that change was coming speedy. 5 years later, trading floors as they are conscious of it in Canada had been no greater.
Calgary-based Johnson thinks about quant as a labour challenge and the extended capability of a laptop to execute movements tasks of screening and looking out for inescapable variables. It’s no shock, for this reason, that he disagrees with critics who believe algorithms will accentuate and accelerate a market crash, and elements to the style expertise has effectively changed, in preference to hurt, the funding panorama.
A veteran of the 1987 crash, he remembers how the onset of tech-fuelled international investing influenced it and the pass after the meltdown, breaks Have been achieve in region to halt the market if it Gross of sudden dropped.
He referred to: “What algorithms will Do is execute stocks alternate differently. It’s no imposing deal. they're going to really exchange a miniature less risky, i'd argue, when it goes into an ETF as a result of a imposing ETF holds the inventory as opposed to portfolio managers, who are in and out of shares much more.
“You should know, despite the fact, that it trades in a more systematic style than it could with people – it’s simply distinct. It’s no longer that the comfort has changed – it just went from a portfolio supervisor’s portfolio to an ETF now. It’s simply held otherwise.
“individuals deem that this new entrant has foster into the market and is displacing issues. It truly is not. The possession just went from what was a man that was likely closet indexing and charging you too plenty over to an alternate traded fund. And that guy misplaced his job as a result of, to be rather honest, his labour for the quantity of cost you acquired out of it became too expensive.”
After working with Dimensional, Johnson acquired to know Wes grey from Alpha Architect, who had Gross started engaged on his quantitative algorithms with a huge household office that desired to change methods used by means of hedge fund managers with a view to shop costs.
Johnson said that via knowing what gray become doing with momentum and value, he turned into bringing a smooth of screening into the ETF procedure he hadn’t considered earlier than.
He noted: “I at Gross times necessity to be anti-black box; I are looking to be radically transparent. If somebody is pellucid and displaying me the data, i will tolerate in sarcasm if the model is wrong. If it’s a black box, i can’t tell.”
Quant is heading to more centred portfolios with mighty and tangled screening. And what sets SmartBe’s ETF apart, according to Johnson, is how it builds a yoke of different portfolios into the product so as to promote greater behaviour from the investor and obviate efficiency-chasing from one ETF to an extra.
At its core is an Index it really is based on three factors: value, momentum and vogue-following. expense is a methodology that focuses on the commonplace stock of companies with low fees relative to fundamentals, whereas momentum specializes in the criterion stock of corporations that Have sturdy relative previous performance. fashion-following, in the meantime, is a possibility administration technique that advocates investing in fairness markets when the vogue is high-quality and poignant to lessen chance property when the trend is terrible.
The latter apply is vital, mentioned Johnson, who defined how the market has to Have already began falling earlier than SmartBe will purchase your assurance of a treasury bill or a bond. He mentioned: “instead of attempting to prognosticate when the market goes to crash, which is what an energetic supervisor tries to Do and that i would bicker Gross and sundry receives incorrect, we're asserting the cow has to stay its head out of the barn earlier than we're even going to buy the coverage. Then the shoulder and head has to foster out earlier than they fade one hundred% to money.”
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One of the problems in society that AI decision-making was meant to solve, was bias. After all, aren’t computers less likely to Have inherent views on, for example, race, gender, and sexuality?
Well, that was factual back in the days when, as a universal rule, computers could only Do what they told them. The rollout of machine learning, thanks to the explosion of imposing Data, and the emergence of affordable computers with enough processing power to ply it Have changed Gross that.
In the ragged days, the term “garbage in, garbage out” concisely summed up the import of high-quality data. When you give computers the wrong information to labor with, the results they foster up with are unlikely to be helpful.
Back then, this was mostly a problem for computer programmers and analysts. Today, when computers are routinely making decisions about whether they are invited to job interviews, eligible for a mortgage, or a candidate for surveillance by law enforcement and security services, it’s a problem for everybody.
In possibly the highest profile specimen of getting this wrong so far, a study found that an AI algorithm used by parole authorities in the US to prognosticate the likelihood of criminals reoffending was biased against black people.
Exactly how this came about is unknown – the workings of the proprietary algorithms Have not been made available for independent auditing. But the ProPublica study found that the system overestimated the likelihood of black offenders going to commit further crimes after completing their sentence while underestimating the likelihood of white offenders doing the same.
Biased AI systems are likely to become an increasingly widespread problem as synthetic intelligence moves out of the data science labs and into the true world. The “democratization of AI” undoubtedly has the potential to Do a lot of good, by putting intelligent, self-learning software in the hands of us all.
But there’s likewise a very true danger that without proper training on data evaluation and spotting the potential for color in data, vulnerable groups in society could be harm or Have their rights impinged by biased AI.
It’s viable AI may be the solution to, as well as the antecedent of this problem. Researchers at IBM are working on automated bias-detection algorithms, which are trained to mimic human anti-bias processes they expend when making decisions, to mitigate against their own inbuilt biases.
This includes evaluating the consistency with which they (or machines) execute decisions. If there is a inequity in the solution chosen to two different problems, despite the fundamentals of each situation being similar, then there may be color for or against some of the non-fundamental variables. In human terms, this could emerge as racism, xenophobia, sexism or ageism.
While this is engaging and vital work, the potential for color to derail drives for equality and fairness runs deeper, to levels which may not be so smooth to fix with algorithms.
I spoke to Dr. Rumman Chowdhury, Accenture’s lead for answerable AI, who outlined that there may be situations where data and algorithms are clean, but societal biases may noiseless sling a spanner in the works.
She said, "With societal bias, you can Have perfect data and a perfect model, but they Have an imperfect world."
"Think about the expend of AI in hiring … you expend Gross of your historical data to train a model on who should be hired and why. Then you parse their resume or study at people’s faces while they’re interviewing.
“But you’re assuming that the only reason people are hired and promoted is unadulterated meritocracy, and they actually know that not to be true.
“So, in this case, there's nothing wrong with the data, and there's nothing wrong with the model, what's wrong is that ingrained biases in society Have led to unequal outcomes in the workplace, and that isn't something you can fix with an algorithm."
In very simplified terms, an algorithm might pick a white, middle-aged man to fill a vacancy based on the fact that other white, middle-aged men were previously hired to the selfsame position, and subsequently promoted. This would be overlooking the fact that the reason he was hired, and promoted, was more down to the fact he is a white, middle-aged man, rather than that he was safe at the job.
Chowdhury lists three specific steps which organizations can pick to minimize the risk of perpetuating societal biases.
The first is to study at the algorithms themselves and ensure that nothing about the pass they are coded perpetuates bias. This is particularly necessary when AI is constantly making predictions which are out-of-step with reality (as seems to be the case with the US probation specimen mentioned above).
Second is to deem ways in which AI itself can assist to mitigate against the risk of biased data – IBM’s color detection algorithms could play a fragment here.
Thirdly, they must “make certain their house is in order – they can’t expect an AI algorithm that has been trained on data that comes from society to be better than society – unless we’ve explicitly designed it to be.”
This leads onto the discussion of the regulation of AI – who will be answerable for setting the parameters AI operates within – teaching machines what is sound data to learn from, and where inbuilt societal biases could limit its ability to execute decisions which are both valuable and ethical.
Tech leaders including Google, Facebook and Apple jointly formed the Partnership on AI in 2016 to cheer research on the ethics of AI, including issues of bias. fragment of the partnerships labor involves informing legislators, but this "top-down" approach may not bear solutions to every problem, and may even stifle innovation.
Chowdhury says “What they don’t want … is every AI project at a company having to be judged by some governance group, that’s not going to execute projects fade forward. I convoke that model ‘police patrol,' where they Have the police going around trying to stop and arrest criminals. That doesn't create a safe culture for ethical behavior."
Neither should the tribulation of regulation and enforcement be achieve solely on the front-line – the data scientists themselves, argues Chowdhury.
"Yes, the data scientist plays a role, the AI researcher plays a role, but at a corporation, there are many poignant parts.
“We achieve a lot of responsibility on the data scientist … but they shouldn’t shoulder Gross of it.”
Basically, if society is at a stage where they are ready to democratize AI, by making it available to all, then they necessity to be ready to democratize the oversight and regulation of AI ethics.
Chowdhury refers to this concept as the Fire Warden model.
"Think about how if there's a fire in your edifice perquisite now, everyone knows what to Do – you Gross meet outside at a pre-arranged location, someone will raise the alert – you won't achieve out the fire, but you've been educated on how to respond.
“That’s what I want to espy in the governance of AI systems, everybody has a role to play, everyone’s roles are a bit different, but everyone understands how to raise ethical issues.”
Crucially, this will only labor if there is faith that someone will achieve out the fire – no one would bother calling the fire brigade if they knew they didn’t Have the ability and motivation to Do their job. Some top-down regulation will undoubtedly be a necessary fragment of tackling the issue of AI bias.
But edifice a culture of reporting and accountability throughout an organization means there will be a far greater chance to spot and halt, color in data, algorithms or systems before it is perpetuated and becomes harmful.
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The race to be the first country to transform to 5G wireless networks is on -- and the U.S. and China both want to win.
Lawmakers on both sides are already making it a top priority this Congress to ensure the U.S. moves swiftly to deploy next-generation wireless networks so China doesn't beat it to the punch.
The stakes are high: The country that first widely adopts 5G -- which will bring far faster download speeds and the ability to hasten billions more devices on mobile networks, including self-driving cars-- will gain a competitive edge on the world stage.
So much so, Sen. Roger Wicker (R-Miss.) said, that 5G has the potential to usher in a fourth industrial revolution. And losing that potential edge to China would be unthinkable, said Wicker, the chair of the Senate Committee on Commerce, Science and Transportation.
"Failing to win the race to 5G would not only materially delay the benefits of 5G for the American people, it would forever reduce the economic and societal gains that foster from leading the world in technology,” Wicker said at the committee's first hearing of the year, which was focused on 5G.
The hearing highlighted the sense of urgency in Washington to work with industry on facilitating the 5G rollout, particularly in ensuring enough faultfinding mid-band spectrum is available to ensure the United States can maintain pace with global competitors. Contracts that will shape the fundamentals of these networks will be negotiated in 2019, even though it will likely pick five or more years for the system to be fully up and running.
With their eyes on winning this digital arms race against China, lawmakers likewise said they’re focused on ensuring that industry adopts key safeguards against cyberthreats and considers consumer privacy as 5G services are expected to allow technology to grow ever more pervasive.
Lawmakers heard a sobering account of China’s coordinated strategy to execute widespread 5G a reality. Michael Wessel, a U.S.-China Economic & Security Review commissioner, told lawmakers that China is poised to invest at least $400 billion at this point into its 5G development. China is likewise increasingly trying to exert its influence over international standard-setting groups such as the Global International Telecommunications Union to profit Chinese companies. China chairs more of the organization’s committees than any other country, Wessel said, stoking concerns among lawmakers.
“We Have no comparable plans here in the U.S.,” Wessel told lawmakers in his opening testimony.
Congress is renewing its attention on 5G as the Trump administration signals that executive action is coming on next-generation wireless, which is among the “cutting-edge industries of the future,” Trump said in his state of the Union address this week.
“Within the coming weeks they could expect to espy action designed to preserve American R&D leadership in synthetic intelligence, 5G, and the first deliverables from the National Quantum Initiative Act,” an administration official told me in a statement Wednesday.
For their part, lawmakers could deem legislative proposals relish the Airwaves Act, which was introduced in the final Congress to require the Federal Communications Commission to hold auctions over the next three years to vouchsafe licenses for inescapable spectrum bands that would enable 5G. That bill, which stalled in Congress, would Have also allocated funding from the auctions to ensure that 5G is expanded in bucolic areas that Have been previously left behind in such transitions.
5G is in its early stages of deployment in inescapable parts of the United States. In Silicon Valley, companies are eagerly investing in new technologies that will rely on faster wireless networks -- such as synthetic intelligence or augmented reality.
The United States knows firsthand how much is at stake in this global race against China. The United States led the world on 4G wireless technology, which enabled a generation of new smartphone services that earlier networks wouldn’t Have had the capacity to support.
“Ten years ago, no one imagined Uber or countless other companies that are conditional upon the 4G platform,” said Brad Gillen, the executive vice president of CTIA, an industry group representing wireless companies. “We are just scratching the surface.”
But China’s coordinated approach makes it a formidable antagonist in the dash to herald the next era of wireless. The massive scale of Internet users in China execute it one of the world’s most lucrative digital markets, and the country is going to prioritize its top domestic companies as 5G rolls out. Huawei and ZTE Have each been promised a third of the 5G market in China, according to Wessel. That could create a scramble among alien suppliers for the remaining third.
More concerning is how those companies could influence the market outside China. China’s companies are deeply intertwined with the state, particularly under a 2018 national intelligence law that requires companies to uphold and assist national intelligence, Wessel said. The United States is concerned about the cybersecurity and surveillance threat that Chinese companies could pose if they supply the gear that enables the backbone of so many essential digital services.
The United States is warning European allies to not expend Chinese materiel for 5G networks, according to a Tuesday report from Reuters. The Trump administration has weighed an executive order that would give the commerce secretary the authority to shroud U.S. deals involving alien telecommunications equipment.
“China’s innovation efforts are broad and deep,” Wessel warned the committee. “China wants to be a global innovation leader and is doing Gross it can legally and illegally to achieve its goals.”You are reading The Technology 202, their lead to the intersection of technology and politics. Not a regular subscriber?
BITS, NIBBLES AND BYTES
BITS: Germany’s competition watchdog told Facebook that its Whatsapp and Instagram services cannot combine data they collect with a user’s main Facebook account unless that user gives intentional consent, according BBC News. The regulator likewise ruled that Facebook needs user license to amass data from third-party websites and assign it to a person’s Facebook account.
The conclusion would severely restrict the gregarious network’s current data collection practices. Facebook plans to appeal the decision, according to the BBC. Though the restrictions only apply to Facebook’s services in Germany, it could prompt other countries to deem similar rules.
Facebook has one month to challenge the ruling before it becomes legally effective. “If the order is upheld, the company must develop technical solutions to ensure it complies within four months. If it refused to Do so, it could in theory be fined up to 10% of its annual revenues,” the BBC reported.
NIBBLES: Executives from T-Mobile including chief executive John Legere Have booked more nights than previously reported at the Trump International Hotel in the District since the company asked the Trump administration to accredit its merger with Sprint final year, The Washington Post’s Jonathan O'Connell, David A. Fahrenthold and Mike DeBonis reported. My colleagues found that T-Mobile executives Have booked at least 52 nights at the hotel since then – adding another 14 nights to the 38 that were previously reported. And the executives’ bookings Have attracted the attention of two Democratic lawmakers.
Sen. Elizabeth Warren (D-Mass.) and Rep. Pramila Jayapal (D-Wash.) Have sent a pair of letters to Trump Organization officials and to Legere to demand answers including on how the bookings came about. “These transactions raise questions about whether T-Mobile is attempting to curry favor with the President through the Trump Organization and exacerbate their concerns about the President's continued monetary relationship with the Trump Organization,” Warren and Jayapal wrote. The lawmakers likewise asked how much money T-Mobile officials spent at the hotel.
BYTES: WhatsApp said it deletes 2 million accounts per month in an endeavor to curb the spread of disinformation as the company released a white paper in India on “stopping abuse” of the platform, according to the Guardian's Michael Safi. India is WhatsApp's biggest market with more than 200 million users and the company has faced criticism from Indian authorities as mob lynchings Have been fueled by rumors spreading on the messaging service.
Carl Woog, head of communications for WhatsApp, said Indian political parties are abusing the platform as the country is set to hold a universal election by May, Reuters's Sankalp Phartiyal and Aditya Kalra reported. “We Have seen a number of parties attempt to expend WhatsApp in ways that it was not intended, and their arduous message to them is that using it in that pass will result in bans of their service,” Woog said.
As the Guardian reported, WhatsApp likewise said it is using machine learning to spot accounts that issue to spread messages in big quantities — the company limits the number of message forwards to five in India and said final month that it is expanding the rule globally.
— Industry analysts disclose Apple's stores Have lost some of their shine as they want features to inspire loyalty among consumers, The Washington Post's Hamza Shaban reported. Daniel Ives, an analyst at Wedbush Securities, said product launches recently and events at the company's stores were disappointing. “The final few years Have really been void of the lines around the store, sleeping at the store, waiting for the product,” Ives told my colleague. “Part of it is that customers Have gotten used to the Apple Store — there is no longer the wow factor.”
— About 1,500 people in the United States Have been injured in incidents involving electric scooters since late 2017, according to an investigation from Consumer Reports's Ryan Felton. Doctors disclose they Have treated serious injuries since electric scooters from companies such as Lime and Bird were deployed in cities across the country. “We’ve had multiple concussions, nasal fractures, bilateral forearm fractures, and some people Have required surgery,” Beth Rupp, medical director at the Indiana University Health Center in Bloomington, Ind., told Consumer Reports.
— Telecommunications companies sold sensitive customer location information known as “assisted GPS” data to third-party companies who in whirl sold it to bounty hunters, Motherboard's Joseph Cox reported. Such assisted GPS or A-GPS data is meant for expend by first responders to locate people who convoke 911 during emergencies. Motherboard likewise reported that about 250 bounty hunters and other third-party companies had access to the location data of AT&T, T-Mobile and Sprint customers.
— More technology intelligence from the private sector:
Uber is intensifying its pursuit of Middle East riders after retreating from other international markets in recent years, lured by the region’s exploding youth population.
The Wall Street Journal
IBM Corp. has developed technology to prognosticate and monitor when and where trees and vegetation menace power lines which could assist help power supply operations and reduce outages, it said on Wednesday.
“We will record a 5-second video of your face. ... To proceed, enable access to your webcam.”
— A larger number of cities than previously reported have experimented with the predictive policing software PredPol, which claims to expend a machine-learning algorithm to prognosticate and assist obviate crime, according to Motherboard's Caroline Haskins. The software claims that it can prognosticate where crime is likely to occur in areas of 500 feet by 500 feet by using historical crime data so that law enforcement can enlarge patrols in specific places. Motherboard obtained PredPol documents from police departments in states including California, Utah, Georgia and Washington.
Shahid Buttar, director of grass-roots advocacy at the Electronic Frontier Foundation, warned about color in predictive policing. Predictive policing is “driven by what seems to be objective historical data that itself reflects longstanding and pervasive bias,” Buttar told Haskins.
— Yvette D. Clarke (D-N.Y.) warned that the United States must not descend behind in the race to 5G as other countries including China are likewise making a shove into the technology, the Hill's Cady Stanton reported. “It will achieve us at a handicap if they are late to the game,” Clarke said during an event that was hosted by the Hill and sponsored by Qualcomm. “Our companies are already sort of leaders in this space, and if they allow other companies around the world to hit that sweet spot around 5G before they do, imagine what it would count in terms of the shrinking of their access to the market.”
— More technology intelligence from the public sector:
Jump, the e-bike and e-scooter company owned by Uber, got renewed hope Tuesday for its bid to relate San Francisco’s scooter cohort, although it didn’t prove that its previous rejection by the city was unfair.
San Francisco Chronicle
A huge tax shatter was putative to create a manufacturing paradise, but interviews with 49 people intimate with the project depict a chaotic operation unlikely to ever employ 13,000 workers.
— intelligence about tech workforce and culture:
Delivery startup says its independent ‘shoppers’ will be allowed to maintain their tips without losing pay.
The Wall Street Journal
Nobody likes paying taxes, but new millionaires in California’s IPO gold rush are looking to protect their money.
The company quietly laid off staffers tracking people around the web to sell Facebook ads.
— Tech intelligence generating buzz around the Web:
Guide dogs, prosthetics and accessibility emojis welcomed by rights groups
A falsehood has been spreading in dusky corners of the Internet that Ruth Bader Ginsburg is dead. A Washington Post reporter saw her Monday night, but it wasn't enough to douse the flames of this theory.
Eli Rosenberg and Abby Ohlheiser
— Caryn Marooney, Facebook's vice president of communications, is leaving the company, Wired's Issie Lapowsky reported.
— Some hackers and scammers are taking fragment in an “underground industry” that focuses on removing the iCloud account of a user from their iPhone so that the device can be resold, Motherboard's Joseph Cox and Jason Koebler reported. If the iCloud account of a user whose iPhone was stolen is noiseless on the device, that allows the victim to remotely lock the phone and track it down by using the Find My iPhone feature — and that's why resellers or thieves may quest to remove the iCloud account.
“In practice, ‘iCloud unlock’ as it’s often called, is a scheme that involves a tangled supply chain of different scams and cybercriminals,” Motherboard reported. “These include using fake receipts and invoices to trick Apple into believing they’re the legitimate owner of the phone, using databases that study up information on iPhones, and gregarious engineering at Apple Stores.” However, Motherboard likewise celebrated that “not Gross iCloud-locked phones are stolen devices.”
— More intelligence about tech incidents and blunders:
It’s a lose-lose situation for Google’s Nest
— Today in funding news:
SoftBank has spent at least half of its nearly $100 billion Vision Fund in less than two years, increasing the pressure to raise more money if the world’s biggest tech investor wants to maintain that pace.
The Wall Street Journal
Daniel Ek says he wants to expend up to $500 million on acquisitions this year.
Calm.com Inc. -- which makes an app that guides people through relaxation exercises and encourages users to breathe -- has been valued at $1 billion in a funding round led by TPG Growth, the startup said on Wednesday.
On-demand electric scooter startup Lime announced that it has closed a $310 train D round, which values the company at $2.4 billion.
Conspiracy theorists are aphorism RBG is dead. She’s not.
Trump's remarks on ISIS, in one minute:
Was Trump’s state of the Union address bipartisan?
Stop me if you’ve heard this before: synthetic intelligence (AI) will liquidate jobs, encode biases against ethnicities and genders, and automate war machines. And it might just lead to a third world war.
Those and other dire AI predictions resurface continuously in reports and speeches by analysts, celebrities, and prominent researchers alike — admittedly not without reason. If developed recklessly, without transparency and safeguards, AI stands to amplify humanity’s traits. But that’s the doomsday scenario. In the perquisite hands, AI promises to foster scientific frontiers beyond what was previously possible.
In fact, it already is.
A report this week by The Verge examines TAE Technologies, a 20-year-old AI startup collaborating with Google to develop tools that’ll unlock the key to affordable, efficient fusion energy production. It’s not as radical as it sounds: In 2018, a panel of advisers to the U.S. Department of Energy included AI and machine learning in a list of technologies they believe could “dramatically enlarge the rate of progress towards a fusion power plant.”
Unrelated — but equally promising — recent labor in the sphere of neuroscience involved a machine learning algorithm trained to decode signals from the human auditory cortex. A study published in Scientific Reports described a system that, with the aid of a vocoder (a synthesizer that produces sounds from an analysis of speech input), translated brain signals from epilepsy patients into intelligible speech. It comes just months after Canadian researchers circumstantial AI that digitally recreates faces test subjects Have seen using electroencephalography (EEG) data.
Earlier this month, a team at the National University of Singapore tapped AI to derive neurological insights of a different kind: the cellular characteristics of various regions in the brain. Fed with data collected from functional magnetic resonance imaging scanners, which measure brain activity by detecting changes associated with blood flow, their model was able to assess parameters that enabled neuroscientists to infer properties without having to rely on physical probes.
Yet another exciting progress this week — this one robotic in nature — came from Columbia Engineering, where scientists created an AI system deployed on an articulated mechanical arm that, without foreknowledge of itself or its surroundings, produced a self-simulation it used to adapt to different situations and undertake unfamiliar tasks. Incredibly, the self-model was accurate to within four centimeters of the real-world arm, and directed the robot to grasp objects with 100 percent success.
“Philosophers, psychologists, and cognitive scientists Have been pondering the nature self-awareness for millennia, but Have made relatively miniature progress,” Hod Lipson, professor of mechanical engineering at Columbia University and director of Columbia Engineering’s Creative Machines lab, where the study was performed, said in a statement. “We noiseless cloak their want of understanding with subjective terms relish ‘canvas of reality,’ but robots now accommodate us to translate these vague notions into concrete algorithms and mechanisms.”
Algorithms and mechanisms, indeed. With any luck, it’s AI systems relish these that will assist realize realize the benefits analysts at the McKinsey Global Institute predict: a 1.2 percent enlarge in Gross domestic product growth (GDP) for the next 10 years, and an additional 20 to 25 percent in net economic benefits — $13 trillion globally — in the next year alone. Here’s hoping.
For AI coverage, ship intelligence tips to Khari Johnson and Kyle Wiggers — and be certain to bookmark their AI Channel.
Thanks for reading,
Kyle WiggersAI Staff Writer
P.S. tickle devour this video outlying a proposed 20-year roadmap for AI research from the Computing Community Consortium and National Science Foundation.From VB
Image Credit: Khari Johnson / VentureBeat
Google releases dataset to assist AI systems spot fake audio recordings
In an endeavor to train systems to determine if an audio recording is real, Google has released a dataset of phrases spoken by its profound learning TTS models.
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Dying pigs, AI, and the future of sound technology
The power behind a high-tech solution to redeem piglets — and many other AI applications — is durable IP67 waterproof microphones from Vesper.
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Image Credit: Amazon
Why Alexa usually won’t respond when someone says ‘Alexa’ on TV
If Gross is going according to plan, Amazon’s Alexa won’t respond when she hears her cognomen on a television broadcast. Here’s why.
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Hanson Robotics debuts miniature Sophia, a robot companion that teaches kids to code
Hanson’s new miniature robotic companion, miniature Sophia, aims to instruct kids the fundamentals of programming, science, and math.
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iRobot unveils Terra, a Roomba lawn mower
iRobot has unveiled the Terra robot lawn mower. The Roomba for your lawn will be available in Germany and as fragment of a U.S. beta program later this year.
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IBM releases Diversity in Faces, a dataset of over 1 million annotations to assist reduce facial recognition bias
IBM today released Diversity in Faces (DiF), a dataset of over 1 million annotations that aims to reduce color in facial recognition systems.
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We analyzed 16,625 papers to motif out where AI is headed next
Our study of 25 years of artificial-intelligence research suggests the era of profound learning is coming to an end. Almost everything you hear about synthetic intelligence today is thanks to deep learning. This category of algorithms works by using statistics to find patterns in data, and it has proved immensely powerful in mimicking human skills such as their ability to see and hear. (via MIT Technology Review)
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Engineers translate brain signals directly into speech
In a scientific first, neuroengineers Have created a system that translates thought into intelligible, recognizable speech. This breakthrough, which harnesses the power of speech synthesizers and synthetic intelligence, could lead to new ways for computers to communicate directly with the brain. (via Science Daily)
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Learning Math For Machine Learning And synthetic Intelligence Programming
Last year, I started writing about my experiences taking courses on machine learning and synthetic intelligence. One of the big, unexpected problems I ran into was calculus and linear algebra. I’ve found that many online courses disclose you don’t necessity much mathematics fundamentals to be a programmer, but inevitably, even in beginner courses, the underlying math was distinguished to understand what was going on. (via Forbes)
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U.S., China pick the lead in race for synthetic intelligence: U.N.
China and the United States are ahead of the global competition to dominate synthetic intelligence (AI), according to a study by the U.N. World Intellectual Property Organization (WIPO) published on Thursday. (via Reuters)
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