I have come across various ways of defining Artificial Neural Networks (ANNs). Many of them miss a fundamental characteristic of theirs. An ANN is a machine learning model. Like all machine learning ...

AI is transforming learning – not by replacing people, but by empowering learning professionals to blend data, creativity and ...

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...

University of Birmingham experts examine the implications of ‘climate AI’ - can machine learning outperform traditional climate models?

Researchers from the Hong Kong University of Science and Technology (HKUST) and Tongji University have developed FerroAI, a ...

The use of clouds has taken a significant step forward beyond workloads and virtual machines. Containers, Kubernetes, ...

Auditoria’s sixth annual State of AI Automation in the Finance Office Report reveals rising adoption of generative AI and autonomous agents, but persistent bottlenecks in document extraction and ...

This great reversal has been a shock. We built machines that mastered what we thought was uniquely human before they mastered ...

Digital commerce has undergone a fundamental transformation in how businesses interact with customers. What began as simple ...

But the real puzzle isn’t whether de-skilling exists—it plainly does—but rather what kind of thing it is. Are all forms of de ...

Most of us generally think of precipitation in terms of three varieties: rain, snow, and sleet. But for meteorologists and ...

The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds-those with high ...