Can machine learning predict which equity factors will outperform? A new study finds that machine learning models, especially ...
AI is transforming learning – not by replacing people, but by empowering learning professionals to blend data, creativity and ...
Thinking Machines Lab challenges OpenAI’s scaling-first approach to artificial intelligence, arguing that true ...
The UC Berkeley crew has now shown the value of AI-based optimization work by having OpenEvolve work out a more efficient ...
Because AI agents – and by extension, any AI-powered tools – are now insiders and have access to sensitive data, third-party ...
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Unified memristor-ferroelectric memory developed for energy-efficient training of AI systems
Over the past decades, electronics engineers have developed a wide range of memory devices that can safely and efficiently ...
A new large language model predicts the properties of lasso peptides, natural products of bacteria that have therapeutic ...
The Groq Real-time AI Agent Hackathon on MachineHack challenges developers to build multi-agent AI systems that solve ...
A researcher has proposed a more targeted approach to AI drug discovery, which includes a rigorous evaluation protocol.
A new study has found that people with an impaired glymphatic system, which helps the brain remove toxins and is mostly ...
The American Heart Association is launching an AI Assessment Lab in partnership with Dandelion Health to validate predictive ...
Rutgers University scientists are testing laser-powered machines that kill weeds without chemicals. Early results show the AI ...
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