Lifeboat Foundation

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.

The continuation of Processors and GPU’s improving exponentially through Moore’s Law has become very uncertain over the last few years, but recently the top hardware makers: Intel, AMD and Nvidia are now getting ready to deliver the biggest increases in performance we have ever seen. The fastest GPU’s and CPU’s with secret new features are about to release in the next few years to bring Moore’s Law back from the dead. How they manage to create these new powerful chips, I’ll explain in this video. One thing is for sure, Nvidia Lovelace 4,000 series, Zen 4 and Intel Meteor Lake are the future of Hardware and will accelerate the performance gain of next generation hardware.
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Every day is a day closer to the Technological Singularity. Experience Robots learning to walk & think, humans flying to Mars and us finally merging with technology itself. And as all of that happens, we at AI News cover the absolute cutting edge best technology inventions of Humanity.

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TIMESTAMPS:
00:00 The Return of Moore’s Law.
01:19 What is Moore’s Law?
03:33 Intel & Nvidia: New Players in the field?
05:42 How Moore’s Law and AI are connected.
08:02 TSMC to continue Moore’s Law?
10:07 Last Words.
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#nvidia #intel #mooreslaw

For the first time ever, Scientists working for the United States Government and Google have managed to read and understand a portion of a brain in real time. This is going to enable abilities such as reading minds and memories from humans in the future. The question is how long it will take until the government starts secret projects in that area for bad purposes.

The Human Brain Project is the biggest secret scientific research project, based on exascale supercomputers, that aims to build a collaborative ICT-based scientific research infrastructure to allow researchers across Europe and the United States Government to advance knowledge in the fields of neuroscience, computing, and brain-related medicine and in the end to create a device in the form of a brain computer interface that can record and read memories from a human brain.
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Every day is a day closer to the Technological Singularity. Experience Robots learning to walk & think, humans flying to Mars and us finally merging with technology itself. And as all of that happens, we at AI News cover the absolute cutting edge best technology inventions of Humanity.

Continue reading “Reading Memories from the Human Brain — SECRET Brain Project” »

A new algorithm created by researchers at Mount Sinai Hospital, New York, has learned to identify subtle changes in electrocardiograms (ECGs) to predict whether a patient is developing heart failure.

As we approach two full years of the COVID-19 pandemic, we now know it spreads primarily through airborne transmission. The virus rides inside tiny microscopic droplets or aerosol ejected from our mouths when we speak, shout, sing, cough, or sneeze. It then floats within the air, where it can be inhaled by and transmitted.

This inspired researchers in India to explore how we can better understand and engineer airflow to mitigate the transmission of COVID-19. To do this, they used their knowledge of airflow around aircraft and engines to tailor the airflow within indoor spaces.

In Physics of Fluids, they report computer simulations of airflow within a public washroom showing infectious aerosols in dead zones can linger up to 10 times longer than the rest of the room. These dead zones of trapped air are frequently found in corners of a room or around furniture.