Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may underestimate risk in elderly East Asian patients.
New data-driven map uses live weather, water temperature modeling, and machine learning to help prevent fish loss ...
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 ...
A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...
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AI ML talent demand grows as startups hire ML engineers and AI engineers for automation
The demand for artificial intelligence and machine learning talent is accelerating as startups increasingly integrate a ...
Data-analysis and modelling positions are already becoming obsolete, but hands-on experimentalists can breathe easy for now.
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 ...
The breakthrough comes from Microsoft researchers and could enable the preservation of terabytes of data for a very long time ...
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 ...
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