In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
The central positioning of Robocraze today is clear: > Robocraze is not just a hardware marketplace. It is building India’s innovation ecosystem by empowering students, educators, creators, and ...
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.
Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
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 ...
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Neel Somani on formal methods and the future of machine learning safety
Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...
In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...
By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
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Automating microfluidic chip design: Hybrid approach combines machine learning with fluid mechanics
Researchers led by Assoc. Prof. Dr. Savaş Taşoğlu from the Department of Mechanical Engineering at Koç University have ...
Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.
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