Lifeboat Foundation: Safeguarding Humanity
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Category: robotics/AI – Page 468

This article includes computer-generated images that map internet communities by topic, without specifically naming each one. The research was funded by the US government, which is anticipating massive interference in the 2024 elections by “bad actors” using relatively simple AI chat-bots.

In an era of super-accelerated technological advancement, the specter of malevolent artificial intelligence (AI) looms large. While AI holds promise for transforming industries and enhancing human life, the potential for abuse poses significant societal risks. Threats include avalanches of misinformation, deepfake videos, voice mimicry, sophisticated phishing scams, inflammatory ethnic and religious rhetoric, and autonomous weapons that make life-and-death decisions without human intervention.

During this election year in the United States, some are worried that bad actor AI will sway the outcomes of hotly contested races. We spoke with Neil Johnson, a professor of physics at George Washington University, about his research that maps out where AI threats originate and how to help keep ourselves safe.

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Artificial intelligence (AI) is bringing a new era to healthcare. A large part of its value is the ability to collect and analyze data sets to streamline administrative processes, improve diagnosis accuracy, and optimize treatment regimens.

Now researchers have added antibiotic discovery to that list.

A recent study published in Nature Machine Intelligence by McMaster University and Stanford University researchers introduces SyntheMol, a generative AI model capable of designing new antibiotics to combat drug-resistant bacteria.

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Qualcomm, Intel, and Google have reportedly formed a new “strategic” coalition in an attempt to dethrone NVIDIA from the AI markets.

It Takes Not One But Three Big Tech Companies Such as Qualcomm, Intel & Google, To Have A Chance To Dethrone NVIDIA’s CUDA Supremacy In AI

Now, this does sound interesting, and it is probably a development to watch out for since we haven’t seen such a massive collaboration among companies to target a single entity. NVIDIA’s dominance in the AI market has shocked competitors to a vast extent since such financial growth and adoption weren’t seen previously. NVIDIA has gobbled up the bulk of the share of AI in tech industry, leaving no space for competitors to fill in, and this has troubled many of the firms who have now formulated a united front against NVIDIA.

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Coming hot on the heels of two massive announcements last year, last week Nvidia and Cerebras showed yet again that the pace of computing is still accelerating.

The first CS-2 based Condor Galaxy AI supercomputers went online in late 2023, and already Cerebras is unveiling its successor the CS-3, based on the newly launched Wafer Scale Engine 3, an update to the WSE-2 using 5nm fabrication and boasting a staggering 900,000 AI optimized cores with sparse compute support. CS-3 incorporates Qualcomm AI 100 Ultra processors to speed up inference.

Note: sparse compute is an optimization that takes advantage of the fact that a multiplication by zero always results in zero to skip calculations that could include dozens of operands, one of which is a zero. The result can lead to a huge speedup in performance with sparse data sets like neural networks.

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