Scientists at the Department of Energy's Oak Ridge National Laboratory have created a new method that more than doubles computer processing speeds while using 75% less memory to analyze plant imaging ...
51mon MSN
Computational models predict neural activity for re-establishing connectivity after stroke or injury
Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel reinforcement learning–based generative model to predict neural signals, creating ...
Cryptopolitan on MSN
xAI seeks crypto finance expert to help train its AI models
Musk’s xAI is recruiting a cryptocurrency finance expert to help train advanced AI models using blockchain, DeFi, and quantitative trading knowledge.
Scientists at the Department of Energy's Oak Ridge National Laboratory have created a new method that more than doubles computer processing speeds ...
Interesting Engineering on MSN
FAU secures Florida’s first dedicated quantum computer, powered by 4,400-qubit system
Florida Atlantic University (FAU) will become the first university in Florida to publicly host ...
Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have achieved a major breakthrough in computational ...
ClearBridge Investments, an investment management company, released its “ClearBridge Mid Cap Strategy” Q4 2025 investor ...
Diamond Hill Capital, an investment management company, released its “Large Cap Fund” fourth-quarter 2025 investor letter. A ...
NordVPN's Adrianus Warmenhoven, a veteran cybersecurity expert, talks to Global Finance about AI is raising the stakes for ...
CMU’s learning initiatives are shaped by research on how people learn, rather than by any single discipline. That approach ...
Pioneering biostatistician and infectious disease expert Dr. Elizabeth Halloran recently transitioned to emerita after a ...
Indeed, research has shown that AI systems are routinely hobbled by biases within both training data and system design. AI models can also introduce new biases, either by missing subtle information ...
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