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

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

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

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

The Northwestern CS Theory Group and Toyota Technological Institute at Chicago co-hosted the Junior Theorists Workshop held ...

WPI Professor Dmitry Korkin and researchers in Senegal are using a unique type of artificial intelligence (AI) to develop a ...

In an increasingly tech-driven world, specialization in bioinformatics will set graduate students in Tufts’ biology master’s ...

Discover the key differences between Data Science, Data Engineering, and AI. Learn about their unique roles, technical ...

High-power lasers are promising tools for developing new solutions for healthcare, manufacturing and nuclear fusion. However, says the Strathclyde group, “these are becoming large and expensive owing ...

Students and researchers at ASU investigate generalizable AI and robotics with real-world applications across industries.

A team of UW undergrads studying applied math and computer science gained real-world experience through an AI internship with Royal Credit Union last summer, the basis of which is still being expanded ...

GenAI may be accelerating a developmental transition in how learners conceptualize programming itself.