“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 ...

A new digital system allows operations on a chip to run in parallel, so an AI program can arrive at the best possible answer ...

This is “bigger” than the ChatGPT moment, Lieberman wrote to me. “But Pandora’s Box hasn’t been opened for the rest of the ...

Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and ...

Researchers introduce a group-driven initialization that fuses search history with graph modularity, boosting ...

Systems like OpenAI’s GPT-5 are accelerating research in math, biology and chemistry. But there is a debate over whether it ...

Nicola Dell, a computer scientist studying the role of technology in intimate partner violence, cofounded the Center to End ...

The announcement marks the latest in a string of commitments from Musk to open-source the technology behind X's recommendation engine. Previous promises, however, have seen uneven ...

Abstract: We address the problem of generating robust solutions for the makespan minimization problem on identical agents (parallel machines), under the assumption that only interval bounds of ...

Deep learning final year projects offer students the opportunity to explore the latest advancements in artificial intelligence and apply them to real-world problems. One project idea is developing a ...

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 ...

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