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Molecule.one grows its drug synthesis AI platform with a $4.6M seed round

TechCrunch

Its machine learning systems predict the best ways to synthesize potentially valuable molecules, a crucial part of creating new drugs and treatments. The company’s system enters play when you have some exotic new compound you want to make in order to test it in real life, but don’t know how to make it.

Chemicals 246
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How the new AI executive order stacks up: B-

CIO

AI regulations The executive order calls for creating new safety and security standards for AI, most notably by requiring the largest of model developers to share safety test results with the federal government. This group is designated to set the safety standards for “red-team” testing ensuring safety before any public release.

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The era of software-defined battery startups is here

TechCrunch

Designing and manufacturing pouches, slabs or cylinders filled with volatile chemicals that are capable of recharging ever more quickly is far from easy. Years ago, new battery types were discovered by chemists laboring away at benches, testing different combinations. “Batteries are hard,” an expert once said. He wasn’t kidding.

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Financial IT leaders prep for a quantum-fueled future

CIO

Because of quantum’s abilities the Ally team could create 50 separate scenarios and back-test the models. But quantum also holds the promise to make machine learning more efficient as well, says Vishal Shete, managing director UK and head of commercialization at Terra Quantum AG.

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Synthetic DNA startup Catalog partners with Seagate for its DNA-based data storage platform

TechCrunch

While a traditional microprocessor processes binary code, Seagate’s chip has tiny reservoirs that process small amounts of synthetic DNA in liquid form; liquid from one reservoir on the chip can be processed with liquid from another reservoir to produce a chemical reaction.

Storage 206
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Engine Biosciences expands its digital drug discovery pipeline with $43M round

TechCrunch

Where it has hit a wall in the past is not on the digital side, where any number of likely molecules or processes can be generated, but on the next step, when those notions need to be tested in vitro. “We already have chemical compounds directed toward the novel biology we have uncovered,” said Lu.

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From improving cancer treatments to saving the bees, these are the companies in IndieBio’s latest class

TechCrunch

Free to Feed is developing test strips that identify different food proteins in breast milk, helping breastfeeding mothers better determine what proteins are leading to an allergic reaction. Avalo.ai : Using interpretable machine learning to identify genes (and what said genes do) in plants at a much faster pace to help develop better crops.

Company 260