Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they ...
Axiom says its AI found solutions to several long-standing math problems, a sign of the technology’s steadily advancing reasoning capabilities.
These low-floor, high-ceiling problems support differentiation, challenging all students by encouraging flexible thinking and allowing for multiple solution paths.
AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...
A finite mind cannot fully comprehend an infinite reality; a cup cannot contain the sea. This is not a defect of the mind, ...
Will artificial intelligence ever be able to reason, learn, and solve problems at levels comparable to humans? Experts at the ...
Burleigh: Are students being equipped with a genuine understanding of math concepts or merely trained to follow steps?