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Category: robotics/AI

Quickly, tell me what you think a self-driving car looks like. Most people have not seen a self-driving car in the wild, so to speak, having only seen self-driving cars indirectly and as shown in online videos, automotive advertisements, and glossy pictures posted on social media or used in daily news reports. For those people that perchance live in an area whereby self-driving cars are being tested out on public roadways, they tend to see self-driving cars quite often. The first reaction to seeing a self-driving car with your own eyes is that it is an amazing sight to see (for my first-hand eyewitness coverage of what it is like to ride in a self-driving car, see the link here). This is the future, right before your very eyes. One day, presumably, self-driving cars will be everywhere, and they will be a common sight. We won’t take notice of self-driving cars at that juncture, treating them as rather mundane, ordinary, and all-out ho-hum. Right now, they are a marvel to behold. Full Story:

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The government wants to have a “search engine for faces,” but the experts are wary.

If you haven’t heard of Clearview AI then you should, as the company’s facial recognition technology has likely already spotted you. Clearview’s software goes through public images from social media to help law enforcement identify wanted individuals by matching their public images with those found in government databases or surveillance footage. Now, the company just got permission to be awarded a U.S. federal patent, according to Politico.

The firm is not without its fair share of controversy. It has long faced opposition from privacy advocates and civil rights groups. The first says it makes use of citizens’ faces without their knowledge or consent. The latter warns of the fact that facial recognition technology is notoriously prone to racially-based errors, misidentifying women and minorities much more frequently than white men and sometimes leading to false arrests.

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Google’s Deepmind is working on a rather crazy and unique plan to surpass OpenAI’s biggest and best Artificial Intelligence Model within the next few months. In a new paper, AI researchers at DeepMind present a new technique to improve the capacity of reinforcement learning agents to cooperate with humans at different skill levels. Accepted at the annual NeurIPS conference, the technique is called Fictitious Co-Play (FCP) and it does not require human-generated data to train the RL agents.
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TIMESTAMPS:
00:00 How Deepmind is ahead of OpenAI
01:45 Why this AI is similar to our Brain.
04:17 New AI Features and Abilities.
06:36 How successful was this AI?
08:58 The Future of AI
10:13 Last Words.
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#ai #agi #deepmind

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Computer simulations and visualizations of knots and other objects have long helped mathematicians to look for patterns and develop their intuition, says Jeffrey Weeks, a mathematician based in Canton, New York, who has pioneered some of those techniques since the 1980s. But, he adds, “Getting the computer to seek out patterns takes the research process to a qualitatively different level.”

The authors say the approach, described in a paper in the 2 December issue of Nature1, could benefit other areas of maths that involve large data sets.

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Amazon Scholars Michael I. Jordan and Michael Kearns, and Amazon vice president and distinguished scientist Bernhard Schölkopf discuss the future of AI ahead of NeurIPS 2021. Watch the recorded event where these industry luminaries cover a range of topics including the history of ML in the past decade, its social impacts, the role of causal reasoning in ML, and whether or not autonomous, general-purpose intelligence should really be the aim of AI.

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Forget about Mark Zuckerberg, Facebook and all the talk about a metaverse. The real future will be a world that is convenient and scary and fantastical — at least according to futurologists. As this year ends, here’s a glimpse at what life might be like … one day.

Facial recognition is already common for phones, but “In 30 years it’s quite possible that you will not use a key or even a credit card. You’ll use your face or iris to make purchases and open locks. Recognition will be that good,” said Martin Ford, author of “Rule of the Robots: How Artificial Intelligence will Transform Everything.”

“The scary thing, though, will be if someone hacks your biometric data. Right now you can call the bank to change your pin or cancel a credit card. But you can’t cancel your biometrics.”

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We can add suggesting and proving mathematical theorems to the long list of what artificial intelligence is capable of: Mathematicians and AI experts have teamed up to demonstrate how machine learning can open up new avenues to explore in the field.

While mathematicians have been using computers to discover patterns for decades, the increasing power of machine learning means that these networks can work through huge swathes of data and identify patterns that haven’t been spotted before.

In a newly published study, a research team used artificial intelligence systems developed by DeepMind, the same company that has been deploying AI to solve tricky biology problems and improve the accuracy of weather forecasts, to unknot some long-standing math problems.

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Clearview AI is about to get formal acknowledgment for its controversial facial recognition technology. Politico reports Clearview has received a US Patent and Trademark Office “notice of allowance” indicating officials will approve a filing for its system, which scans faces across public internet data to find people from government lists and security camera footage. The company just has to pay administrative fees to secure the patent.

In a Politico interview, Clearview founder Hoan Ton-That claimed this was the first facial recognition patent involving “large-scale internet data.” The firm sells its tool to government clients (including law enforcement) hoping to accelerate searches.

As you might imagine, there’s a concern the USPTO is effectively blessing Clearview’s technology and giving the company a chance to grow despite widespread objections to its technology’s very existence. Critics are concerned Clearview is building image databases without targets’ knowledge or permission, and multiple governments (including Australia and the UK) believe the facial recognition violates data laws. The tech could theoretically be used to stifle political dissent or, in private use, to stalk other people. That’s not including worries about possible gender and race biases for facial recognition as a whole.

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