In an effort to create a unified alternative to address these bottlenecks, Octopus, a security and intelligence software ...
The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...
Abstract: This research aims to propose a terahertz metamaterial-based absorber that can sense the alterations in the enclosing medium’s refractive index. The suggested layout comprises a pair of ...
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.
Hosted on MSN
Can scientists detect life without knowing what it looks like? Research using machine learning offers a new way
When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing. Dust and rock collected from the asteroid Bennu ...
Abstract: Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression ...
AI and ML are transforming forensic applications with e-nose systems, offering rapid, cost-effective analysis for volatile organic compounds. A 32-element MOS sensor array enhances e-nose forensic ...
Students call it hypocritical. A senior at Northeastern University demanded her tuition back. But instructors say generative A.I. tools make them better at their jobs. By Kashmir Hill In February, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback