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Category: robotics/AI – Page 495

Is anything ever normal in the AI industry?

A doozy of a scoop by the newsletter Nongaap Investing and extensively followed up by Business Insider certainly makes us wonder. The gist is that for a period of time in 2023, the person in charge of OpenAI’s $175 million startup fund appears to have been completely fake — and OpenAI says the documents filed with the California Secretary of State to put the fake person in charge were “completely fabricated.”

Head spinning yet? Us too. OpenAI is almost certainly the hottest startup on the planet right now, and it sounds like someone pulled an extrardinary fast one on it, with unclear goals. And lest you think this is some unimportant position, the person now running the fund is none other than OpenAI’s mercurial CEO, Sam Altman.

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Combinatorial optimization problems (COPs) have applications in many different fields such as logistics, supply chain management, machine learning, material design and drug discovery, among others, for finding the optimal solution to complex problems. These problems are usually very computationally intensive using classical computers and thus solving COPs using quantum computers has attracted significant attention from both academia and industry.

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Over the past decade, organic luminescent materials have been recognized by academia and industry alike as promising components for light, flexible and versatile optoelectronic devices such as OLED displays. However, it is a challenge to find suitably efficient materials.

To address this challenge, a joint research team has developed a novel approach combining a machine learning model with quantum-classical computational molecular design to accelerate the discovery of efficient OLED emitters. This research was published May 17 in Intelligent Computing.

The optimal OLED emitter discovered by the authors using this “hybrid quantum-classical procedure” is a deuterated derivative of Alq3 and is both extremely efficient at emitting light and synthesizable.

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According to insiders, Microsoft and OpenAI are planning to build a $100 billion supercomputer called “Stargate” to massively accelerate the development of OpenAI’s AI models, The Information reports.

Microsoft and OpenAI executives are forging plans for a data center with a supercomputer made up of millions of specialized server processors to accelerate OpenAI’s AI development, according to three people who took part in confidential talks.

The project, code-named “Stargate,” could cost as much as $100 billion, according to one person who has spoken with OpenAI CEO Sam Altman about it and another who has seen some of Microsoft’s initial cost estimates.

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