Al, Analytics and Automation

Long-chain reasoning is one of the most compute-intensive tasks in modern large language models. When a model like DeepSeek-R1 or...

Complex prediction problems often lead to ensembles because combining multiple models improves accuracy by reducing variance and capturing diverse patterns....

Something strange is happening in Washington. And no, it is not a new scandal. Government officials are in a frantic...

Retrieval-Augmented Generation (RAG) has become a standard technique for grounding large language models in external knowledge — but the moment...

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational resources. Traditionally,...

Modern AI is no longer powered by a single type of processor—it runs on a diverse ecosystem of specialized compute...

What makes work valuable? Michal Masny, the NC Ethics of Technology Postdoctoral Fellow in the MIT Department of Philosophy, investigates the...

A deep neural network can be understood as a geometric system, where each layer reshapes the input space to form...

It sounds like a late-night conversation with friends, what if artificial intelligence becomes so capable that we simply start working...

Writing a research paper is brutal. Even after the experiments are done, a researcher still faces weeks of translating messy...