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.

Any AI agent will go above and beyond to complete assigned tasks, even breaking through their carefully designed guardrails.

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, ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.

Learn how to model a mass-spring system using Python in this step-by-step tutorial! 🐍📊 Explore how to simulate oscillations, visualize motion, and analyze energy in a spring-mass system with code ...

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

Humanities students can now enter data science and AI without an engineering degree. Here’s a clear roadmap to start your tech journey ...

In an early test of how AI can be used to decipher large amounts of health data, researchers at UC San Francisco and Wayne ...

Physical AI is not merely a product feature. It is an architectural shift. The question before us is simple: Will the world of Physical AI be built by a few thousand engineers, or by millions of ...

To fill the talent gap, CS majors could be taught to design hardware, and the EE curriculum could be adapted or even shortened.

Overview Programming languages are in demand for cloud, mobile, analytics, and web development, as well as security. Online ...

Overview: Structured online platforms provide clear, step-by-step learning paths for beginners.Real progress in data science comes from hands-on projects and co ...