Learning happened through doing, not consuming. It felt distinctly human. And it stuck. Last week, I returned to Ivey as a ...

Active learning represents a transformative paradigm in machine learning, aimed at reducing the annotation burden by selectively querying the most informative data points. This approach leverages ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Affective computing, a field focused on understanding and emulating human emotions, has seen significant advancements thanks to deep learning. However, researchers at the Technical University of ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has long been slow, expensive, and heavily empirical. Machine learning is now ...

Despite significant progress in medicinal chemistry and life sciences research, drug discovery and development remain slow and expensive, taking on average approximately 15 years and US$2 billion to ...

A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has developed a ...

20+ Machine Learning Methods in Groundbreaking Periodic Table From MIT, Google, Microsoft Your email has been sent A new “periodic table for machine learning” is reshaping how researchers explore AI, ...

Contemporary paradigms in educational engagement necessitate a paradigm shift in parental involvement, transcending ...

A conversation with INSEAD’s Gianpiero Petriglieri on a key skill of modern leadership. In an age of rapidly changing technology, it’s more important than ever for organizations to effectively support ...