From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
Tech Xplore on MSN
Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
“Drought is different during spring versus summer versus fall. There’s so much data that we can have available to us, and so ...
Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified blueprint for researchers to navigate classification, clustering, ...
Hyundai Motor Company’s labor union is drawing controversy after announcing a blanket refusal to allow the deployment of the ...
Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...
Business.com on MSN
How machine learning is boosting business growth
Learn how to find and make the best use of valuable insights buried in your company’s databases.
Tech Xplore on MSN
How do we make sure AI is fair, safe, and secure?
AI is ubiquitous now—from interpreting medical results to driving cars, not to mention answering every question under the sun ...
AI delivers real value when it solves real problems. A problem‑first, domain‑driven approach turns AI from hype into scalable ...
There are many reasons why psychological treatments aren’t more effective. In principle, misdiagnosis is the easiest of them ...
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