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, ...

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 1D motion in Python using loops! 🐍⚙️ This step-by-step tutorial shows you how to simulate position, velocity, and acceleration over time with easy-to-follow Python code. Perfect ...

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

A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...

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

Here are Danenberg's key recommendations for technology leaders using AI models: ...

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 ...