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

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

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

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

The era of fake news and deepfakes is not a temporary crisis but a permanent reality for brands, leaders, investors and media ...

Technology promised parents and teachers the classroom of the future, but new evidence shows that it may be doing more harm ...

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

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 ...

When I left the classroom 12 years ago, computer science was still treated like a niche pursuit, something for the few. Today, it’s the engine of change across every sector. In K–12 education, it is ...

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

John Martinis has already revolutionised quantum computing twice. Now, he is working on another radical rethink of the technology that could deliver machines with unrivalled capabilities ...