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What to Know About Screwworm in the U.S.

TIME - Tech

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Rising Sea Levels Are Already Remaking Reality in This North Carolina Community

TIME - Tech

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What did T. rex's breath smell like?

Popular Science

What did T. rex's breath smell like? More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. T. tex had the strongest bite of any land animal Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy . Imagine the world millions of years ago.


Neural Data Transformer 2: Multi-context Pretraining for Neural Spiking Activity

Neural Information Processing Systems

The neural population spiking activity recorded by intracortical brain-computer interfaces (iBCIs) contain rich structure. Current models of such spiking activity are largely prepared for individual experimental contexts, restricting data volume to that collectable within a single session and limiting the effectiveness of deep neural networks (DNNs). The purported challenge in aggregating neural spiking data is the pervasiveness of context-dependent shifts in the neural data distributions. However, large scale unsupervised pretraining by nature spans heterogeneous data, and has proven to be a fundamental recipe for successful representation learning across deep learning. We thus develop Neural Data Transformer 2 (NDT2), a spatiotemporal Transformer for neural spiking activity, and demonstrate that pretraining can leverage motor BCI datasets that span sessions, subjects, and experimental tasks. NDT2 enables rapid adaptation to novel contexts in downstream decoding tasks and opens the path to deployment of pretrained DNNs for iBCI control.


Ryan Gosling on bringing humour to sci-fi adventure Project Hail Mary

BBC News

Humour and science fiction may not seem obvious bedfellows but a history of cinema will tell you different. Think Spaceballs, Mars Attacks! and Everything Everwhere All At Once to name but a few. And now Ryan Gosling is hopping on board. The 45-year-old is both the lead actor and producer of Project Hail Mary, a space adventure film based on the 2021 Andy Weir novel of the same name. While Gosling has showcased his comedy chops in films such as Barbie and Nice Guys, he tells the BBC he's always struggled as an actor because I would want to bring humour to something but has found opportunities to be funny limited with some projects.



A Unified, Scalable Framework for Neural Population Decoding

Neural Information Processing Systems

Unlike the case for text--wherein every document written in a given language shares a basic lexicon for tokenization--there is no one-to-one correspondence between neurons in different individuals.



6 Graphs That Show Where the U.S. Leads China on AI--and Where It Doesn't

TIME - Tech

Two important things happened on January 20, 2025. In Washington, D.C., Donald Trump was inaugurated as President of the United States. In Hangzhou, China, a little-known Chinese firm called DeepSeek released R1, an AI model that industry watchers called a "Sputnik moment" for the country's AI industry. "Whether we like it or not, we're suddenly engaged in a fast-paced competition to build and define this groundbreaking technology that will determine so much about the future of civilization," said Trump later that year, as he announced his administration's AI action plan, which was titled "Winning the Race." There are many interpretations of what AI companies and their governments are racing towards, says AI policy researcher Lennart Heim: to deploy AI systems in the economy, to build robots, to create human-like artificial general intelligence.


California family revives beloved Christmas tradition with surprise sleepover visit

FOX News

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