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“Imagine a computation that produces a new bit of information in every step, based on the bits that it has computed so far. Over t steps of time, it may generate up to t new bits of information in ...

When systems lack interpretability, organizations face delays, increased oversight, and reduced trust. Engineers struggle to isolate failure modes. Legal and compliance teams lack the visibility ...

Breard's interest in Chinese scientific history was ignited by Chinese Mathematics: A Concise History, a book that chronicles ...

As Louisiana prepares to implement a computer science graduation requirement, students at the Louisiana School for Math, ...

Local school leaders struggling with staffing shortages expressed support for a pre-filed bill in the state Legislature by a Decatur lawmaker that would provide loan assistance to teachers in ...

It's already been determined that male math bias exists, but this is the first time that we're seeing gender bias directly ...

“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...

In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...

Earthquakes happen daily, sometimes with devastating consequences, yet predicting them remains out of reach. What scientists ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...

At M.I.T., a new program called “artificial intelligence and decision-making” is now the second-most-popular undergraduate major. By Natasha Singer Natasha Singer covers computer science and A.I.