In the early 20th century, a mathematician and economist sought the optimal strategy for Holmes to escape Moriarty’s pursuit ...

In 1925, a small-town trial became a national spectacle, pitting faith against science. Here's what to know about the lasting ...

This obvious statement, and its inverse, have deep connections to many areas of math and computer ... are at the heart of the branch of computer science known as computational complexity theory.

The most dramatic advantages appear in data-limited scenarios: MNIST Addition : With only 10% of possible digit pairs in training, SMTLayer achieved 98% accuracy on all possible pairs, while baselines ...

ASML is uniquely positioned to benefit from surging demand driven by reasoning AI models, as these models require significantly more inference compute, fueling potentially limitless demand ...

DeepSeek also innovated to make inference cheaper, reducing the cost of running the model. Moreover, they released a model called R1 that is comparable to OpenAI’s o1 model on reasoning tasks.

Thus it seemed that the path to building the best AI models in the world was to invest in more computation during both training and inference. But then DeepSeek entered the fray and bucked this trend.

Introduction to Probability (Harvard University) This course explores the principles of probability theory, including random variables, distributions, and applications to real-world problems.