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 ...

Consider someone who’s perfectly content with their office chair. It’s not ergonomic, it doesn’t have lumbar support, but it works. Then, during a meeting or a visit to a friend’s office, they sit in ...

Too many companies launch new products or services without a process for deeply understanding what their customers truly need. They make assumptions, rely on limited feedback, or develop ideas based ...

Need to solve a problem? You might want to sleep on it—for about 20 minutes. New research suggests that taking a quick, deep nap may help lead to a “eureka” moment, as scientists reported last week in ...

Candidates are frustrated. Employers are overwhelmed. The problem? An untenable pile of applications — many of them generated with the help of A.I. tools. By Sarah Kessler Katie Tanner, a human ...

Solving optimization problems is challenging for existing digital computers and even for future quantum hardware. The practical importance of diverse problems, from healthcare to financial ...

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 ...