When Covid-19 struck in 2020, Sashikumaar Ganeshan at the Indian Institute of Science, Bangalore built a model to predict the spread of the contagion, marking his deep immersion into AI technologies.

Using concepts students are already familiar with — like how bottles vibrate — can serve as a helpful anchor for more complex topics.

Cognitive overload can create a bottleneck during math lessons, but there are simple strategies to clear up students’ brain space for complex problem-solving.

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...

“Strong math skills are foundational for student success,” said Matt Epperson, Vice President, Human Resources Operations & Services. “By investing in ST Math, Phillips 66 is helping students build ...

Why do some melodies feel instantly right, balanced, memorable and satisfying, even if you have never heard them before? New research from the University of Waterloo suggests that more than creativity ...

Provided content. One ball on a Plinko board is unpredictable. Drop a thousand and they form a near-perfect bell curve—one of math’s most powerful ideas for 150+ years.

Abstract: The quality of modern software relies heavily on the effective use of static code analysis tools. To improve their usefulness, these tools should be evaluated using a framework that ...

2026 will be a transformative year in this area — one where force fields redefine the boundaries of atomistic simulation, making previously unthinkable modeling and discoveries routine. With workflows ...

Scientists in China have leveraged AI to solve Isaac Newton's kissing number problem in dimensions 25-31, where work had stalled before.

There are University of Toronto jobs that have salaries up to $139,000 a year and $42 an hour. Some positions don't require ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...