Empowering ASEAN & global businesses to make sound data-driven decisions while ensuring privacy and complianceKUALA LUMPUR, Malaysia, Feb. 10, 2026 /PRNewswire/ -- Athenatech AI Sdn Berhad (athenatech ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...
AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.
Researchers have developed a fully real-valued, end-to-end optical neural network chip that overcomes the physical limitation ...
Elevated fine particulate matter and nitrogen dioxide exposure in the early to middle weeks of pregnancy had links to lower ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Waiting for alerts is obsolete — predictive engineering lets cloud systems see trouble coming and fix it before users ever ...
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Q&A: Could light-powered computers reduce AI's energy use?
A key problem facing artificial intelligence (AI) development is the vast amount of energy the technology requires, with some ...
Gregory, J.M. (2026) Alzheimer’s Disease: Modeling the Effect of Daily Steps . Journal of Behavioral and Brain Science, 16, ...
Xingjie Ni, associate professor of electrical engineering at Penn State, and his team recently developed a new device that ...
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