By leveraging inference-time scaling and a novel "reflection" mechanism, ALE-Agent solves the context-drift problems that ...

Writing smaller programs means that they’re easier to maintain, and they can help you accomplish a wider range of tasks. You ...

Recall of cheese products upgraded to highest danger level over listeria-causing bacteria: FDA ...

The most popular resolution solves the wrong problem. Skip self-optimization—invest in groups that actually show up when life ...

When it comes to hard problems, computer scientists seem to be stuck. Consider, for example, the notorious problem of finding the shortest round-trip route that passes through every city on a map ...

Your CEO just forwarded you another LinkedIn post claiming “AI killed SEO overnight.” Your client is panicking about ChatGPT stealing their traffic. And you’re wondering if you should throw out ...

Word problems are often described as “math stories” and can put complex mathematical operations into a more approachable form for students. But students often struggle when they see a combination of ...

It is impossible to imagine a master chef who doesn’t know how to cook, a cabinet maker who doesn’t know anything about carpentry, or a pianist who can’t read music. All three sound like ...

Abstract: The knapsack problem is a classic NP-hard optimization challenge with wide-ranging applications in computer science, such as resource allocation. While several variants have been developed, ...

Abstract: Optimization is crucial for the efficiency and reliability of multi-access edge computing (MEC) networks. Many optimization problems in this field are NP-hard and do not have effective ...