In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
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 ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
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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 ...
Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...
From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
A team of researchers in Japan has developed an artificial intelligence tool called YORU that can identify specific animal ...
The question of whether prehospital emergency anaesthesia and intubation improves survival in patients with major trauma has ...
Conventional electronic noses rely on arrays of chemical sensors whose electrical responses are often affected by humidity, temperature fluctuations, and long-term drift. While these systems have ...
By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
Ivan Stefanov, CEO and Co-Founder of NOTO, shares how AI, machine learning and unified platforms are reshaping financial crime prevention for institutions ...
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