Neural operator researchers unveil new AI with 5 million times the processing volume for physics prediction

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Accelerated Understanding, a startup founded by Caltech professor Anima Anandkumar and her husband Benedikt Jenik, announced on the 25th an AI model capable of ingesting and generating information so vast it cannot be processed by a single computer. In tests, it processed 5 trillion data points in a single prompt, roughly 5 million times the scale that Anthropic's Claude or Google's Gemini can typically handle. The system is built for physics rather than language understanding, trained to predict physical phenomena across space and time, and it does away with Google's transformer architecture, instead processing physical data using neural operator technology that Anandkumar helped develop. The company envisions applications in semiconductor design, robotics, extreme weather forecasting, and geological data analysis for energy companies, and will initially focus on deals with enterprises. Jeff Bezos, the founder of Amazon, through his Project Prometheus, offered board positions and other roles, a 35% equity stake, and compensation of $1 million initially and $2 million after three months, but the two chose to go their own way.

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The startup announced a new AI model with 5 million times the processing volume for physics prediction, a major technological breakthrough.

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