Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...
Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may ...
New data-driven map uses live weather, water temperature modeling, and machine learning to help prevent fish loss ...
A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...
Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human ...
By now, ChatGPT, Claude, and other large language models have accumulated so much human knowledge that they're far from simple answer-generators; they can also express abstract concepts, such as ...
It’s more than just code. Scientists have found a way to "dial" the hidden personalities of AI, from conspiracy theorists to social influencers.
The March 2026 issue of NEJM Catalyst Innovations in Care Delivery is a special theme issue on the hard work of implementing artificial intelligence in real-world ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...
AI optimists envision a future where artificial general intelligence (AGI) surpasses human intelligence, but the path remains riddled with scientific and logistical hurdles.
To his credit, Kasy is a realist here. He doesn’t presume that any of these proposals will be easy to implement. Or that it will happen overnight, or even in the near future. The troubling question at ...
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