An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...

In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

Explore five free and low-cost AI certifications that help tech professionals build AI skills across cloud, machine learning, ...

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

And then it got me.” A handful of decades and an MIT physics doctorate later, Tan is the chief science officer (CSO) of ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

By bridging the gap between theoretical logic and practical application, the syllabus fosters the technical proficiency and ...

This is a guest post by Tim Allen, principal engineer at Wharton Research Data Services at the University of Pennsylvania, a member of the Readers Council and an organizer of the Philadelphia Python ...

Harvard's free programming classes teach you how to think, debug, and adapt in an AI-driven world where knowing code matters more than ever.

Abstract: In light of this complex information for programming environments, this paper explores how effectiveness in Large Language Models and concepts from Retrieval-Augmented Generation can be used ...