Morning Overview on MSN
Ghost lineages: The ancient DNA hiding in our genes today?
Fragments of DNA from long-extinct human relatives still circulate in modern genomes, and in some cases they do more than ...
There's a reason why blacksmiths fire metals before hammering them. Heat always softens metal, making it more malleable and easier to reshape. Or does it? In a surprising new study, Northwestern ...
Global climate models capture many of the processes that shape Earth's weather and climate. Based on physics, chemistry, ...
From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
New AI model decodes brain signals captured noninvasively via EEG opens the possibility of developing future neuroprosthetics ...
Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.
2UrbanGirls on MSNOpinion
Neel Somani on formal methods and the future of machine learning safety
Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...
A new peer-reviewed study published in the journal Algorithms signals a major shift in how humanitarian logistics can be ...
A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...
The push to bring memecoins into the mainstream has just gained a lot of momentum, with REX Shares preparing to launch the first U.S.-listed Dogecoin (DOGE) exchange-traded fund (ETF). If approved, ...
As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...
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