In this week’s edition of The Prototype, we look at using AI to find new drugs, quantum biotechnology, the ROI of generative AI and more.
In this week’s edition of The Prototype, we look at using AI to find new drugs, quantum biotechnology , the ROI of generative AI and more. To get The Prototype in your inbox,, all eyes were on President Trump’s remarks before the session and his designs on Greenland.
But that was far from the only conversation happening at the World Economic Forum. Elsewhere at the event, scientists spoke about the urgent need for governments to address the problem of the growing resistance of microbes to antibiotics and other treatments,Glen Gowers, cofounder of AI biotech Basecamp Research, thinks his company could help address this urgent problem. Earlier this month, it released new AI models it says can accelerate drug design. Working with hardware giant NVIDIA, these systems were trained on data from a large variety of genetic data from species around the world, creating a very robust and accurate way to model complex biological molecules. One application of this system is enabling development of better design methods of gene therapies for complex diseases. But another is finding new drugs against resistant microbes. In an, which has not yet been peer-reviewed, the company used its AI systems to design new drugs, 97% of which showed some effectiveness in the laboratory. As Gowers describes it, the system is sophisticated enough to simply prompt something like: “Design me something this bacteria has never seen before that will kill it,” and it will give you options. “We want to create those molecules and get them into pipelines,” he added.—help us and our sponsoring partner Mayfield find the most promising startups deploying artificial intelligence in finance, scientific discovery, construction and more.Quantum mechanics lie at the heart of some of the most fascinating emerging technologies, from ultra-fast computing to secure communications to navigation without satellites. But they’ve been missing from one major area: biotechnology. Until now., researchers from Oxford University described how they bioengineered proteins that use quantum effects to interact with magnetic fields and radio waves. The team then constructed a prototype imager that is capable of tracking those molecules in living cells. That suggests the same technique might be able to be used for medical purposes, such as targeting where a drug is delivered or monitoring cancer growths.While AI systems have been making big changes in healthcare systems, other industries are finding gains more elusive. According to consulting giantFewer than one-third of CEOs surveyed say their companies have realized tangible results from AI adoption, with more than half saying their companies have seen “neither higher revenues nor lower costs” from AI. Only 12% said they’ve seen both. This survey echoes an MIT study from this past summer, which said that Relatedly, a few weeks ago, I had an interesting conversation with an executive at a software company, who told me they attempted to implement large language models in a system they were building but found it unwieldy. Instead, they turned to more conventional–and computationally less intense–machine learning-based approaches to better effect. That’s just one anecdote, but I can’t help but wonder if other companies are doing the same.over the weekend in preparation for its early February flight, which will send four astronauts on a flyby of the Moon., which surveyed the habits of more than 200 people over the course of two weeks. The researchers found that people reported more “well-being, energy and social connectedness” when they disconnected from their screens more often than usual. Interestingly enough, it appears that the break was more important than being disconnected from screens generally in terms of that boost–those who typically spent more time off-screen didn’t report better overall well-being than the others.. It’s a witty, dark fantasy story about a group of university professors asked to accomplish a nearly impossible task: build a fake ancient city that a tyrannical king can use as a pretext for war. It’s full of fun twists and turns from the point of view of the narrator, a very cynical member of the scholarly team. As a bonus, it’s short enough to read from start to finish on a plane trip.
Biotech Microbial Resistance Davos Quantum Biotechnology Generative Ai AI ROI Ceos Using AI
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