Unlike other industries, healthcare generates not only numerical and categorical data but also large volumes of unstructured ...
To reduce the threat of model loss, synthetic data corruption and insight erosion, CXOs must create a new class of "AI-aware" ...
One question we’ve been asked many times is whether ValuEngine stock ratings can be used for portfolio management or merely ...
Materials informatics combines data analytics and engineering design, streamlining material development and enhancing performance through AI integration.
A new study used 3M person-days of Apple Watch data to develop a foundation model that predicts medical conditions with ...
A peer-reviewed paper about Chinese startup DeepSeek's models explains their training approach but not how they work through ...
Recent advances in artificial intelligence (AI) and machine learning (ML) have transformed our ability to decode complex ...
1don MSN
AI models can rival humans in anonymizing patient information from electronic health records
Researchers from the University of Oxford have benchmarked artificial intelligence (AI) tools capable of automatically ...
The pervasive issue of unsustainable consumption demands advanced analytical tools to predict and mitigate its environmental ...
Tech Xplore on MSN
Data-driven framework predicts electric vehicle range with improved real-world accuracy
"Range anxiety" remains one of the major issues of electric vehicles (EVs). Most of the existing range prediction ...
A new study made a version of GPT-5 Thinking admit its own misbehavior. But it's not a quick fix for bigger safety issues.
Intellicule has received a $217,941 NIH SBIR Phase I grant to develop advanced deep-learning software for biomolecular ...
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