Abstract: Recent improvements in deep learning techniques have shown promising results in solving arithmetic word problems. The Block Recurrent Transformer (BRT) is a neural network architecture that ...

When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...

In 1945, as the first atomic bomb exploded in the New Mexico desert, Enrico Fermi stood miles away, holding a few scraps of paper. As the shockwave rolled toward him, he dropped the papers and watched ...

You probably don’t need more time. By Jancee Dunn When I look back on all the major decisions I’ve dithered over, I could scream. It took me a decade to commit to becoming a parent. I wavered for a ...

We've wondered for centuries whether knowledge is latent and innate or learned and grasped through experience, and a new research project is asking the same question about AI. When you purchase ...

Some of the most successful startups didn’t start with a business plan. They started with a problem. More specifically — a personal pain point. Build the product you wish existed by solving a problem ...

Abstract: The 0-1 Knapsack Problem (KP) and Bin Packing Problem (BPP) are NP-hard combinatorial optimization challenges often tackled using metaheuristics. Both problems have prominent utilization in ...

A mathematician at UNSW Sydney has introduced a groundbreaking new approach to one of algebra’s oldest unsolved problems. A mathematician has developed an algebraic solution to an equation that was ...

Complex organizational problems and chaos are silent killers of productivity and innovation. In today’s fractured work environment, they are more prevalent than ever. Political transitions, ...

Why do some crowds move in an orderly fashion while others devolve into a chaotic jumble? New research led by an MIT mathematician may finally crack the tricky crowd problem. When you purchase through ...