Perplexity and NVIDIA's JOLT method lets one model teach itself, matching GRPO accuracy on MATH with 6.5x fewer training tokens.

Perplexity’s JOLT trains one model as teacher and student, matching GRPO’s MATH accuracy with 6.5x fewer training tokens.

Drawing on teaching practice at Queen Mary's Hainan partnership, the studies explore how digital technologies can enhance ...

Riverside welcomed 31 new permanent faculty members from a variety of disciplines for the 2026-27 academic year.

In the spirit of my recent “Math 2.0” talk on new ways to use AI assistance to enhance the human understanding of mathematics ...

Aldeman: Let students work independently, at their own pace, using high-quality content, guided by teachers and assessed with ...

New state assessment results show Kentucky students are improving in reading, while lagging in other subjects. Here's what to ...

On Monday, the company announced a new independent panel of mathematicians tasked with advising it and other AI companies on their interactions with mathematical research and the wider mathematics ...

As AI churns out mathematical proofs, a DeepMind study raises a bigger question: What do we lose when we focus only on the ...

Community colleges now have more flexibility in deciding who is qualified to teach college-level courses, moving beyond a ...

Alabama has approved new math course requirements for future elementary teachers, part of a statewide effort to improve ...

Master square roots with this easy method that simplifies calculations and helps you solve math problems faster and with ...