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Microsoft wants to tap AI to accelerate scientific discovery

Can AI velocity up features of the scientific course of? Microsoft seems to suppose so.

On the firm’s Construct 2025 convention on Monday, Microsoft introduced Microsoft Discovery, a platform that faucets agentic AI to “remodel the [scientific] discovery course of,” based on a press launch offered to iinfoai. Microsoft Discovery is “extensible,” Microsoft says, and might deal with sure science-related workloads “end-to-end.”

“Microsoft Discovery is an enterprise agentic platform that helps speed up analysis and discovery by reworking the complete discovery course of with agentic AI — from scientific data reasoning to speculation formulation, candidate technology, and simulation and evaluation,” explains Microsoft in its launch. “The platform allows scientists and researchers to collaborate with a workforce of specialised AI brokers to assist drive scientific outcomes with velocity, scale, and accuracy utilizing the newest improvements in AI and supercomputing.”

Microsoft is one amongst many AI labs bullish on AI for science. Earlier this yr, Google unveiled an “AI co-scientist,” which the tech big mentioned might assist scientists with creating hypotheses and analysis plans. Anthropic and its chief rival, OpenAI, together with outfits like FutureHouse and Lila Sciences, have asserted that AI instruments might massively speed up scientific discovery, significantly in drugs. 

However many researchers don’t take into account AI right now to be particularly helpful in guiding the scientific course of, largely attributable to its unreliability.

A part of the problem in growing an “AI scientist” is anticipating an untold variety of confounding elements. AI may turn out to be useful in areas the place broad exploration is required, like narrowing down an unlimited checklist of prospects, nevertheless it’s much less clear whether or not it may possibly do the sort of out-of-the-box problem-solving that results in bona fide breakthroughs.

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Outcomes from AI programs designed for science have up to now been largely underwhelming.

In 2023, Google mentioned round 40 new supplies had been synthesized with the assistance of considered one of its AIs, known as GNoME. However an outdoor evaluation discovered not even a kind of supplies was, actually, new. In the meantime, a number of corporations using AI for drug discovery, together with Exscientia and BenevolentAI, have suffered high-profile scientific trial failures.

Microsoft little question hopes that its effort will fare higher than people who’ve come earlier than it.

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