In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.
Tech Xplore on MSN
Decoding the shadows: Vehicle recognition software uncovers unusual traffic behavior
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, ...
Engineered DNA can store massive amounts of data while also encrypting it, opening the door to ultra-secure, long-term ...
WPI Professor Dmitry Korkin and researchers in Senegal are using a unique type of artificial intelligence (AI) to develop a ...
Discover the key differences between Data Science, Data Engineering, and AI. Learn about their unique roles, technical ...
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 ...
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 ...
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 ...
Competitive programming has been considered as one of the strictest methods of evaluating the problem solving capabilities, ...
In an increasingly tech-driven world, specialization in bioinformatics will set graduate students in Tufts’ biology master’s ...
Bennett University’s SmartEcoTech 2026 workshop brought academia and industry together to upskill students and faculty in ...
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