The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates 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 ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...
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 ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...
Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...
Forbes contributors publish independent expert analyses and insights. I delve into the intricate workings of artificial intelligence. When an individual files a medical insurance claim, they expect ...