The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

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 (ML) is a complex domain that sits squarely at the convergence of mathematics, computer science, and statistics. Its mastery demands profound knowledge, practical expertise, and a ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

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 ...

AI is reshaping the efficiency of fast fashion, but experts warn it may also perpetuate overconsumption and pollution.

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...