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

Competitive programming has been considered as one of the strictest methods of evaluating the problem solving capabilities, ...

Plasma mirrors capable of withstanding the intensity of powerful lasers are being designed through an emerging machine ...

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, ...

Bennett University’s SmartEcoTech 2026 workshop brought academia and industry together to upskill students and faculty in ...

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

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

Located in India's technology hub, SSc offers students proximity to IT companies, start-ups, research labs, and innovation ecosystems. This environment strengthens internships, live projects, and ...

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

Intel is looking for a Data Scientist who specializes in Demand and Supply Planning to develop advanced analytics and machine learning systems that will optimiz ...

Computer science students from three Universities of Wisconsin campuses leveraged their knowledge of machine learning to address real-world questions for one of the state’s largest credit unions in a ...