Researchers have built DepressNet, an interpretable stacking-ensemble machine learning framework that stratifies depression ...
This article contains promotions.The reasons for failing at a side hustle are not limited to a lack of ability or effort. Starting to spend money and time before checking demand, costs, and working ...
A new machine-learning framework called MB-SupConCon extends supervised contrastive learning to continuous responses, ...
We all want to offload our most tedious tasks. But what might we lose in the process? ...
Life sciences distribution is shifting toward AI-powered, resilient networks that improve speed, efficiency, compliance, and ...
AI can detect patterns humans miss, but experts explore why perception, medical judgment, wisdom, and human care remain ...
Companies without a stock price have a problem with attracting or retaining talent that has alternate opportunities at ...
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Chinese AI model helps prove 31-year-old math conjecture with machine-verified Lean proof
Chinese AI math proof reaches a new milestone: Shanghai AI Lab's Shusheng-S2 helped resolve the 31-year-old Ghys conjecture, ...
Humans play a key role in developing humanoid robots and training AI models, so we can maintain control, writes a columnist.
Humanity's Last Exam tests AI's deductive reasoning. A second exam could test its moral grounding. Without that, Elder Gerrit ...
After introducing yourself, there is a question that always comes up in English conversations: "So, what do you do?" Whether you stop after two sentences or can talk for a minute here completely ...
The most consequential risk in behavioral forecasting is a feedback loop: institutions act on a prediction, change the ...
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