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

We use algorithms every day for things like image searches, predictive text, and securing sensitive data. Algorithms show up ...

Applications are invited for recruitment of nine vacant teaching and non-teaching positions or career in TRTC Guwahati Assam in 2026. Tool Roo ...

Aptech, a leading provider of financial management solutions for the hospitality industry, is pleased to announce the appointment of Michael Webster as Director of Research and Development. In this ...

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

DOE’s Los Alamos National Laboratory launched the Center for Quantum Computing to unite research and support national ...

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

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

Discover how innovative learning ecosystems support curious Maths students, fostering deep engagement and community beyond ...

Whether you're a scientist brainstorming research ideas or a CEO hoping to automate a task in human resources or finance, you'll find that artificial ...

The education and training sectors plays a vital role in building a future workforce equipped to succeed in a knowledge-based, digital economy as the Kingdom pursues Vision 2030, the national ...

Diagnosing substance-use disorder can be difficult because of patient denial related to the stigma attached to addiction. Now a study by the University of Cincinnati has used a novel artificial ...