New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...
Opinion: A patent case involving inventor Guillaume Desjardins has evolved into a cornerstone of modern patent eligibility ...
The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...
Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic dynamics associated with rapid development in established neighborhoods.
As instigators of immunity, monoclonal antibodies are marvels of modern medicine, lab-made proteins that can treat cancers, ...
Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...
Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.
The Punch on MSN
How betting platforms use machine learning for fraud detection
Fraud remains one of the biggest challenges for betting platforms. This article explains how machine learning helps spot risky activity, protect players, and keep systems fair. It breaks down complex ...
Cryptopolitan on MSN
Buterin views Ethereum and AGI frameworks as philosophically alike
Ethereum co-founder Vitalik Buterin has shared updated views on the Ethereum-AGI convergence, suggesting the ecosystem can soon enable AIs to interact economically.
TinyML sensors detect chainsaws, gunshots, and animal calls offline, offering a new way to protect wildlife in remote ...
Researchers developed an AI system that rapidly interprets brain MRIs, accurately diagnosing dozens of neurological ...
As instigators of immunity, monoclonal antibodies are marvels of modern medicine, lab-made proteins that can treat cancers, autoimmune diseases, and many other conditions. With the market for these ...
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