US researchers say a self-supervised machine-learning tool can identify long-term physical defects in solar assets weeks or years before conventional inspections, potentially reducing operations and ...
Lattice Semiconductor announced the latest release of the Lattice sensAI solution stack, delivering expanded model support, ...
The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.
Interesting Engineering on MSN
EVs get smarter: Physical AI helps autonomous cars detect loss of control in real time
New physical AI system helps electric vehicles detect loss of control in real time, improving stability and autonomous ...
Study Finds on MSN
Mold Hiding In Your Walls? Scientists Develop Electronic ‘Nose’ That Can Detect It In Minutes
Forget waiting a week for mold test results. New electronic nose technology detects toxic indoor mold species in just 30 ...
Relying solely on end-of-line testing isn't enough when security, traceability, and mission reliability are vital.
Doctors may soon be able to diagnose an elusive form of heart disease within seconds by using an AI model developed at ...
Scientists have developed a new approach to correcting common quantum computing errors, which could pave the way for more ...
Researchers from Politecnico di Milano propose a data-driven water leak detection method that treats leaks as anomalies in ...
CNN has named prediction market operator Kalshi as its official data partner, giving the network access to real-time probabilities across political, cultural, and economic events as interest in market ...
News-Medical.Net on MSN
AI enables rapid detection of coronary microvascular dysfunction from standard EKGs
Doctors may soon be able to diagnose an elusive form of heart disease within seconds by using an AI model developed at ...
Amirali Aghazadeh receives funding from Georgia Tech. When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing.
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