American enterprises spent an estimated $40 billion on artificial intelligence systems in 2024, according to MIT research. Yet the same study found that 95% of companies are seeing zero measurable ...

Source: Darren Edwards What if one of the biggest unsolved problems in mathematics is not just about numbers or computers, but about observers like you and me? This isn’t a proposed solution to P vs ...

Netflix is back to its rom-com era. The upcoming holiday special romantic comedy is all set to fill our days with romance, magic and warmth. Champagne Problem, written and directed by Mark Steven ...

NP-complete problems, including optimal routing, scheduling and network design, are foundational to essential tasks across various industries. However, they actually pose challenges for conventional ...

We introduce NP-ENGINE, a scalable framework that generates near-infinite and hierarchically difficult NP-hard problems within the RLVR paradigm, empowering LLMs' optimization reasoning abilities.

In his decades-long career in tech journalism, Dennis has written about nearly every type of hardware and software. He was a founding editor of Ziff Davis’ Computer Select in the 1990s, senior ...

As quantum computing develops, scientists are working to identify tasks for which quantum computers have a clear advantage over classical computers. So far, researchers have only pinpointed a handful ...

A new study by Apple has ignited controversy in the AI field by showing how reasoning models undergo 'complete accuracy collapse' when overloaded with complex problems. When you purchase through links ...

AlphaEvolve uses large language models to find new algorithms that outperform the best human-made solutions for data center management, chip design, and more. Google DeepMind has once again used large ...

Abstract: Although NP-complete problems have solutions that can be verified in polynomial time, their exponential computational complexity presents significant challenges for classical computing ...