Mathematics, like many other scientific endeavors, is increasingly using artificial intelligence. Of course, math is the backbone of AI, but mathematicians are also turning to these tools for tasks ...
Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they ...
At some point in their development, the companies will reach what McKinsey refers to as a “natural limit to early stage ...
Frustrated by the AI industry’s claims of proving math results without offering transparency, a team of leading academics has ...
I stopped procrastinating when an app started treating it as an emotional problem, not a planning one.
Normal mechanisms don't support this type of thing; that's why ARPA-H can bring in some horsepower here to really ...
AI systems are beginning to produce proof ideas that experts take seriously, even when final acceptance is still pending.
A well-designed physical hedge matrix makes it impossible to find a way out. Similarly, the inversion matrix that takes root in the mind undermines common sense and makes critical thinking impossible.
A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...
Compliance is one of the most persistent bottlenecks in regulated software development, often requiring weeks or months of manual documentation after products are built. In this episode of DEMO, Keith ...
Accrual, a tax prep and review platform for firms that launched today with $75 million in funding, already supports every ...
Achieve robust, defensible mineral oil quantitation with reduced uncertainty.