Real-world data is increasingly used to optimize trial design, reduce recruitment burden, and support regulatory decisions, but adoption remains uneven due to challenges around data quality, ...
A collaborative research group has shown that biological neurons can be trained to perform a temporal pattern learning task ...
6don MSN
Ultra‑robust machine‑learning models run stable molecular simulations at extreme temperatures
Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...
Artificial intelligence (AI) could help physicians determine if survivors of childhood cancer need extra support - and the more information included in AI prompting, the better its performance. This ...
A new study published in the journal Carbon Research introduces an advanced machine learning model capable of predicting how ...
Researchers in Japan have trained rat neurons to perform real-time machine learning tasks, moving computing into biological territory. The system uses cultured neurons connected to hardware to ...
Synthesizing tables—creating artificial datasets that closely resemble real ones—plays a crucial role in supervised machine learning (ML), with a wide range of practical applications. These include ...
Read more about Artificial intelligence unlocks real-time insights into complex aquatic ecosystems on Devdiscourse ...
We used Tonic Fabricate to generate a fully synthetic email corpus, then RL fine-tuned an open-source model against it. The ...
Artificial curiosity is changing how AI learns by exploring instead of following instructions, raising questions about the ...
The Infinite Loop, the editorial arm of AI cloud company Nebius, reports on tiny surgical robots using AI for real-time ...
Web3 is looking at a similar trajectory. The industry is pivoting from theoretical musings to measurable utility in 2026, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results