Four simple strategies—beginning with an image, previewing vocabulary, omitting the numbers, and offering number sets—can have a big impact on learning.

Axiom says its AI found solutions to several long-standing math problems, a sign of the technology’s steadily advancing reasoning capabilities.

AI systems are beginning to produce proof ideas that experts take seriously, even when final acceptance is still pending.

These student-constructed problems foster collaboration, communication, and a sense of ownership over learning.

A hands-on, integrated approach has the potential to transform math from a gatekeeper into a gateway for STEM opportunities for all students.

Heavy trucks don’t stop like cars - because they aren’t cars, they’re rolling math problems with deadlines. A loaded rig needs way more distance to slow down, and when traffic brakes suddenly, “just ...

Elon Musk is going for some substantial damages in his lawsuit accusing OpenAI of abandoning its nonprofit mission and “making a fool out of him” as an early investor. On Friday, Musk filed a notice ...

Mathematician Richard Evan Schwartz of Brown University tackled the problem in a recent study by working backward from an existing polyhedral torus to answer questions about what would be needed to ...

Your grocery bill keeps climbing higher each month, but the real problem runs deeper than rising prices. Shrinkflation has become the quiet thief in your ... Read more This article appeared first on ...

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Most marketing teams treat product packaging as someone else's problem. You hand off specs to operations, they negotiate with ...