Lifeboat Foundation

Displacing Delta. Expect this to dominate globally in the coming year, if truly 10% more transmissible.

An offshoot of the Delta coronavirus variant which is slowly spreading throughout the UK is expected to be dominant within a matter of months, experts believe.

Known as AY.4.2, the sub-variant is thought to be at least 10 cent more transmissible than its predecessor, with analysis underway to determine what accounts for its increased infectiousness.

Continue reading “Delta sub-variant expected to be dominant in UK” »

DeepMind, part of Google, announces General AI breakthrough with a true learning AI. First, they built a dynamic environment (like a game) that can change it’s own layout — XLand. Then, they use Deep Learning and Reinforcement Learning combined — Deep Reinforcement Learning — to create an AI the can learn without training at all or data about what it’s doing. The AI played 700,000 games in 4,000 unique worlds! The AI performed 200 BILLION training steps while performing 3.4 million UNIQUE (non-taught/programmed) tasks.

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Continue reading “General Artificial Intelligence BREAKTHROUGH? You decide! [EP 149]” »

The technology aims to deliver cost and power consumption improvements for deep learning use cases of inference, the companies said. This development follows NeuReality’s emergence from stealth earlier in February with an $8 million seed round to accelerate AI workloads at scale.

AI inference is a growing area of focus for enterprises, because it’s the part of AI where neural networks actually are applied in real application and yield results. IBM and NeuReality claim their partnership will allow the deployment of computer vision, recommendation systems, natural language processing, and other AI use cases in critical sectors like finance, insurance, healthcare, manufacturing, and smart cities. They also claim the agreement will accelerate deployments in today’s ever-growing AI use cases, which are already deployed in public and private cloud datacenters.

NeuReality has competition in Cast AI, a technology company offering a platform that “allows developers to deploy, manage, and cost-optimize applications in multiple clouds simultaneously.” Some other competitors include Comet.ml, Upright Project, OctoML, Deci, and DeepCube. However, this partnership with IBM will see NeuReality become the first start-up semiconductor product member of the IBM Research AI Hardware Center and a licensee of the Center’s low-precision high performance Digital AI Cores.

It would travel faster and farther than any man-made object we’ve made thus far.

When the famous Voyager twin spacecraft left Earth in the 1970s, their mission was originally meant to last only five years. However, the plutonium-powered spacecraft were still going strong when they reached Jupiter and Saturn, so NASA engineers decided they would try a flyby of Uranus and Neptune. But, even after that, the spacecraft still kept going and going — and they’re still at it almost 50 years later. So much so that both probes made history by officially exiting the bubble-shaped region created by the sun’s wind, known as the heliosphere, crossing into interstellar space.

Although they’re 14 billion and 11 billion miles, respectively, away from Earth, Voyager 1 and Voyager 2 are continuing to provide invaluable scientific data. For instance, sensors on the spacecraft are recording important information about the composition and levels of the gas, dust, and radiation that fills interstellar space — which is anything but empty, contrary to popular belief. This wouldn’t have been possible without these two daring spacecraft.

Continue reading “The new Voyager: NASA is planning an interstellar mission that could last more than 100 years” »

In the last few years, a class of materials called antiferroelectrics has been increasingly studied for its potential applications in modern computer memory devices. Research has shown that antiferroelectric-based memories might have greater energy efficiency and faster read and write speeds than conventional memories, among other appealing attributes. Further, the same compounds that can exhibit antiferroelectric behavior are already integrated into existing semiconductor chip manufacturing processes.

Now, a team led by Georgia Tech researchers has discovered unexpectedly familiar behavior in the antiferroelectric material known as zirconium dioxide, or zirconia. They show that as the microstructure of the material is reduced in size, it behaves similarly to much better understood materials known as ferroelectrics. The findings were recently published in the journal Advanced Electronic Materials.

Miniaturization of circuits has played a key role in improving memory performance over the last fifty years. Knowing how the properties of an antiferroelectric change with shrinking size should enable the design of more effective memory components.

Out of the ruins of the Warsaw Ghetto, remnants of resistance emerge, thanks to advanced geoscientific tools and a team determined to keep the horrors of history from fading.

If you had told college-aged Anne, “22 years from now, you’re going to be leading a research group focused on AI,” I would have said you’re insane. It would not have been possible to make this shift into machine learning without having made friends with machine learning experts — particularly Jones.

After he and I finished our training at MIT, we started a lab together at the Broad Institute in 2,007 and we brainstormed a lot about how machine learning could help biologists. What allowed these ideas to percolate and develop was both of us hopping over the fence and getting familiar with the terminology and power of both sides, biology and computer science. It’s really a productive partnership.

And it’s not just Jones anymore. My group is about 50–50 in terms of people coming from the biology side versus the computational side.

Yahoo has shut down access to its services in China, becoming the latest American tech company to exit the country.

It pulled the plug “in recognition of the increasingly challenging business and legal environment,” a Yahoo spokesperson said in a statement.

“Yahoo remains committed to the rights of our users and a free and open internet. We thank our users for their support.”

Facebook plans to shut down its decade-old facial recognition system this month, deleting the face scan data of more than one billion users and effectively eliminating a feature that has fueled privacy concerns, government investigations, a class-action lawsuit and regulatory woes.

Jerome Pesenti, vice president of artificial intelligence at Meta, Facebook’s newly named parent company, said in a blog post on Tuesday that the social network was making the change because of “many concerns about the place of facial recognition technology in society.” He added that the company still saw the software as a powerful tool, but “every new technology brings with it potential for both benefit and concern, and we want to find the right balance.”

The decision shutters a feature that was introduced in December 2010 so that Facebook users could save time. The facial-recognition software automatically identified people who appeared in users’ digital photo albums and suggested users “tag” them all with a click, linking their accounts to the images. Facebook now has built one of the largest repositories of digital photos in the world, partly thanks to this software.