Algorithms shape search, social media, and reputations, prioritizing relevance, engagement, quality, and machine ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...

Researchers at the Department of Energy's Oak Ridge National Laboratory have developed a deep learning algorithm that ...

Analysis Of Section 3(k) Of The Patents Act, 1970. Legal News and Analysis - India - Intellectual Property - Conventus Law ...

Plasma mirrors capable of withstanding the intensity of powerful lasers are being designed through an emerging machine learning framework. Researchers in Physics and Computer Science at the University ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning models. So how are researchers working to improve computing efficiency to ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Engineered DNA can store massive amounts of data while also encrypting it, opening the door to ultra-secure, long-term ...

AI's coding capabilities prompt students to reevaluate the value of traditional computer science education and future career paths.