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 ...

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of ...

Researchers led by Assoc. Prof. Dr. Savaş Taşoğlu from the Department of Mechanical Engineering at Koç University have ...

The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...

The competitive advantage in AI is no longer coming from better prompts or larger models. It is coming from better architecture.

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

The Technical Psychoacoustics research group at the Aalto Acoustics Lab, within the Department of Information and Communications Engineering at Aalto University, invites applications for a one-year ...

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...

Advancing proprietary AI discovery of high-bioavailability Oral GLP-1 drug candidates. HOUSTON, Feb. 3, 2026 /PRNewswire/ -- Deep EigenMatics, Inc., a pioneer in high-velocity Artificial Intelligence ...

Microsoft develops a lightweight scanner that detects backdoors in open-weight LLMs using three behavioral signals, improving ...