The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
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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 ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...
Machine learning models accurately predict survival after surgery for upper tract urothelial cancer, supporting personalised follow up and adjuvant treatment decisions.
A number of agencies are enthusiastically working to develop tools that involve artificial intelligence and machine learning. The Department of Veterans Affairs, for instance, had the third-largest ...
Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...
As financial crime grows in scale, speed, and sophistication, banks are increasingly turning to artificial intelligence, ...
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