AI could soon spew out hundreds of mathematical proofs that look "right" but contain hidden flaws, or proofs so complex we can't verify them. How will we know if they're right?

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.

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, ...

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 ...

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

Dive into Python Physics Lesson 18 and master numerical integration! In this tutorial, we explain step by step how to use Python to approximate integrals, solve physics problems, and analyze motion ...

AI, or Artificial Intelligence, was a creation of the tech community. Imagine the same community now getting worried about its own creation. It is exactly what’s happening today at various levels. But ...

Why write ten lines of code when one will do? From magic variable swaps to high-speed data counting, these Python snippets ...