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 ...
In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...
AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...
Algorithms shape search, social media, and reputations, prioritizing relevance, engagement, quality, and machine ...
RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.
Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...
Agnik International, a leading data science company with market-leading analytic products, today announced that they are developing a new distributed machine learning architecture based on decades of ...
From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
Orlando, US, February 10th, 2026, FinanceWireSMA Marketing announced the development of a new machine-learning–driven ...
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.
A smartwatch used a machine learning algorithm to detect social interactions through sounds in the environment. This ...
Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.