Browsing: Artificial Intelligence

Recently, we showed how to use torch for wavelet analysis. A member of the family of spectral analysis methods, wavelet…

Separating AI reality from hyped-up fiction isn’t always easy. That’s why we’ve created the AI Hype Index—a simple, at-a-glance summary…

Choosing the right LLM has become a full-time job. New models appear almost daily, each offering different capabilities, prices, and…

The teacher and the student Our approach revolves around a concept called knowledge distillation, which uses a “teacher–student” model training…

Recently, we released a paper (Working with AI: Measuring the Occupational Implications of Generative AI) that studied what occupations might find AI chatbots useful, and…

Using machine learning, MIT chemical engineers have created a computational model that can predict how well any given molecule will…

To build a large-scale quantum computer that works, scientists and engineers need to overcome the spontaneous errors that quantum bits,…

TL; DRThe fastest way to stall an agentic AI project is to reuse a workflow that no longer fits. Using…

mall uses Large Language Models (LLM) to run Natural Language Processing (NLP) operations against your data. This package is available…

—Joshua A. Basseches is the David and Jane Flowerree Assistant Professor of Environmental Studies and Public Policy at Tulane University.The…