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'Proof by intimidation': AI is confidently solving 'impossible' math problems. But can it convince the world's top mathematicians?
AI could soon spew out hundreds of mathematical proofs that look "right" but contain hidden flaws, or proofs so complex we ...
Unemployment is not a problem for our system,” said University of Tulsa professor Clara Mattei. “It's actually a solution for ...
Math scores across the board have risen in the years after the pandemic, but a stubborn gap remains between poor schools and the state average.
We need to better understand how LLMs address moral questions if we're to trust them with more important tasks.
Members of the Princeton High School Math Team have enjoyed competing in math tournaments and national competitions. Wanting their younger counterparts to enjoy a similar experience, they created a ...
Your brain calculates complex physics every day and you don't even notice. This neuromorphic chip taps into the same idea.
Find out why students trust Math-GPT with their assignments and how it supports learning with step-by-step explanations. This ...
Jordan from New Jersey told Newsweek he was checking his daughter's homework when he saw something that made him burst out ...
Experts gave AI 10 math problems to solve in a week. OpenAI, researchers and amateurs all gave it their best shot ...
UC Berkeley math professor Nikhil Srivastava met with researchers on a mission to create a new way of assessing the mathematical capabilities of AI.
Axiom says its AI found solutions to several long-standing math problems, a sign of the technology’s steadily advancing reasoning capabilities.
Abstract: Spiking neural networks (SNNs) offer an effective approach to solving constraint satisfaction problems (CSPs) by leveraging their temporal, event-driven dynamics. Moreover, neuromorphic ...
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