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Decoding high energy physics with AI and machine learning

In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and machine learning (ML) are making waves with how they’re increasing understanding of the most fundamental particles. Central to this exploration are parton distribution functions (PDFs). These complex mathematical models are crucial for predicting outcomes of high energy physics experiments that test the Standard Model of particle physics.

Boston Dynamics robots dance to ‘Don’t Stop Me Now’ for ‘America’s Got Talent’ audition

A dance crew of four-legged robots from Boston Dynamics appeared on “America’s Got Talent” to perform a synchronized routine to Queen’s “Don’t Stop Me Now.”

Their performance was impressive enough to earn four “yes” votes from the judges — but one of the five robots experienced some stage fright, perhaps, and shut down in the middle of the routine. But the show must go on, so nevertheless, the four other robots persisted.

“Can I be honest with you?” judge Simon Cowell asked at the conclusion of their performance. “I don’t mean this in a cruel way. It was weirdly better that one of them died… because it showed how difficult this was.”

How Warp is introducing robots to automate its network of warehouses

Daniel Sokolovsky, the co-founder and CEO of Warp, told TechCrunch that Warp is always looking for ways to make shipping more efficient for its customers, which include enterprises like Walmart, Gopuff, and HelloFresh. With the advancements in AI, the company thought there could be more opportunities to automate.

Warp can’t automate the long-haul trucking or short-range delivery aspects of the supply chain, Sokolovsky said, so it’s working on what it can potentially change: the workflows inside its warehouses.

Warp started by installing cameras into its test warehouse in Los Angeles and used computer vision to turn that data into a virtual warehouse to start experimenting.

UP Researchers Predict Antimicrobial Resistance Using AI Models

Escherichia coli (E. coli) is a common bacterium that lives in the intestines of animals and humans, and it is often used to identify fecal contamination within the environment. E. coli can also easily develop resistance to antibiotics, making it an ideal organism for testing antimicrobial resistance—especially in certain agricultural environments where fecal material is used as manure or wastewater is reused.

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