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A nonclassical quantum correlation with unprecedented strength is proposed and observed in a scalable optical platform.
Identifying driver regulators in cell stateions is key to decoding cellular function. Here, the authors present regX, an interpretable AI framework to prioritise potential driver TFs and cCREs from single-cell multiomics data, showing potential for understanding and manipulating cell states.
Identifying and characterizing secreted virulence proteins are fundamental for deciphering microbial pathogenicity. Here, the authors introduce a practical training framework to improve protein language model representations by integrating biological features and prior information through contrastive learning.
Discover how machine learning and artificial intelligence are changing science and the world with the latest AI news, features and articles.
Conflict between humans and AI is front and center in AMC’s sci-fi series “Humans,” which returned for its third season on Tuesday (June 5). In the new episodes, conscious synthetic humans face hostile people who treat them with suspicion, fear and hatred. Violence roils as Synths find themselves fighting for not only basic rights but their very survival, against those who view them as less than human and as a dangerous threat. [Can Machines Be Creative? Meet 9 AI ‘Artists’]
Even in the real world, not everyone is ready to welcome AI with open arms. In recent years, as computer scientists have pushed the boundaries of what AI can accomplish, leading figures in technology and science have warned about the looming dangers that artificial intelligence may pose to humanity, even suggesting that AI capabilities could doom the human race.
But why are people so unnerved by the idea of AI?
How are neural networks “expressing themselves” through original paintings, songs, and fiction?
From Alan Turing’s seminal paper to the advent of ChatGPT, here are 12 pivotal moments in the history of artificial intelligence.
Researchers using intracranial electroencephalogram (EEG) recordings from deep within the brain found that meditation led to changes in activity in the amygdala and hippocampus, key brain regions involved in emotional regulation and memory.
The study, conducted by researchers at the Icahn School of Medicine at Mount Sinai and published Tuesday, February 4, in Proceedings of the National Academy of Sciences, may help explain the positive impact these practices have and could contribute to the development of meditation-based approaches for improving memory and emotional regulation.
Previous research has shown that meditation—a set of mental techniques to focus attention and awareness—can improve mental well-being and potentially help improve psychiatric diseases like anxiety and depression. In combination with its beneficial clinical effect, previous brain research has shown a connection between meditative practice and brain activity. Yet the specific neural activity underlying meditative practices and their positive effects is still not well understood.