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AUKAS allies plan AI-power to pinpoint China’s stealth submarines

Under a new announcement, AUKUS members have unveiled their plans to make use of advanced AI to hunt for Chinese submarines.


Took-ranch/Wikimedia Commons.

The announcement came during a joint meeting in Mountain View, California, on Friday, December 1 (2023). Defense leaders from the three nations revealed their plans for “Aukus Pillar II,” a trilateral security arrangement set up in 2021 that aims to “help sustain peace and stability in the Indo-Pacific region.”

China sinks 1400-ton data center in sea with power of 6 million PCs

When ready, the data center will serve companies like China Telecom and Hong Kong-based AI firm SenseTime.


China Daily.

In this day and age of internet and artificial intelligence, there are massive amounts of data being generated every day. While all this data is metaphorically stored in the cloud, there are actual data centers that make it possible to access our emails just before boarding a flight and music playlists, even during vacations 1,000 miles away from home.

New Superbug-killing antibiotic discovered | Latest World News | English News | WION

Artificial intelligence (AI) was utilised by researchers to find a novel antibiotic that can eradicate a dangerous species of superbug. Thousands of possible substances were reduced using artificial intelligence (AI) to a small number that could be evaluated in a lab. Abaucin, a strong experimental antibiotic that was the end result, needs to undergo more testing before it can be utilised.

#superbug #AI #WION

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AI meets materials science: the promise and pitfalls of automated discovery

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Last week, a team of researchers from the University of California, Berkeley published a highly anticipated paper in the journal Nature describing an “autonomous laboratory” or “A-Lab” that aimed to use artificial intelligence (AI) and robotics to accelerate the discovery and synthesis of new materials.

Dubbed a “self-driving lab,” the A-Lab presented an ambitious vision of what an AI-powered system could achieve in scientific research when equipped with the latest techniques in computational modeling, machine learning (ML), automation and natural language processing.

Tesla navigation adds speed camera awareness and more in update

Tesla’s vehicles can now recognize speed cameras as of its latest update, along with several other navigation features that will reportedly be coming soon.

Code sleuth and Tesla update observer Greentheonly said on Sunday that Tesla software update 2023.27.12 has added the speed camera awareness feature along with other camera awareness capabilities. The update includes the Full Self-Driving (FSD) beta version 11.4.8.1, and it was first spotted in a Tesla vehicle on Saturday, according to Teslascope.

The software update also includes red light camera awareness, including those for fixed and mobile versions, and a combined awareness for red lights and speed cameras. Green also says that several other navigation features appear to be right around the corner, including U-turn control and an “avoid construction on route” setting, as found in internal code for Tesla’s maps system.

AI Can Recreate Images From Human Brain Waves With ‘Over 75% Accuracy’

Scientists were reportedly able to use artificial intelligence (AI) to reconstruct images solely from people’s brain activity with over 75% accuracy for the first time ever.

According to Japanese newspaper The Mainichi, recreating images from brain activity is usually only possible when a subject is actually seeing the images with their own eyes, or when the type of images, such as faces, letters or simple figures, were specified.

However, a team of researchers at the National Institutes for Quantum Science and Technology (QST) in Japan have now demonstrated that it’s possible to accurately reconstruct complex images with AI — based almost solely from a person’s thoughts.

AI experts are roasting the NYT list of ‘who’s who’ in AI for having zero women

The New York Times’ profile of “who’s who” in AI, published Sunday, has drawn criticism for featuring zero women.

The article gives credit to a list of twelve men — most of them are the leaders of AI companies and tech giants — for fuelling the rise of the modern AI movement.

“You could come up with no women ⁦@nytimes⁩? I have binders of them starting with @drfeifei,” wrote tech journalist Kara Swisher in an X post on Sunday, referring to Stanford professor Fei-Fei Li.

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