Abstract: As a classic optimization problem, the weapon target assignment (WTA) problem is widely studied. However, existing WTA models are mostly established on single-hit destruction and static hit ...

Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks.

Competitive programming has been considered as one of the strictest methods of evaluating the problem solving capabilities, ...

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

We've all heard the best approach to solve a problem is to "sleep on it." It turns out there may be more truth to this adage ...

If you’re still building Google Ads around keywords, you’re behind. Here's what that means for eligibility, structure, and ...

Tension: Marketers keep optimizing for yesterday’s algorithms while platforms have quietly rewritten the rules of visibility ...

Automation has reshaped work over the past few decades, bringing notable improvements in speed, scale, and efficiency across industries. Consequently, machines and software took over repetitive tasks, ...

The day when quantum computers will be able to break conventional encryption is rapidly approaching, but not all companies ...

Abstract: Incorporating magnetic hysteresis in time-stepped finite element analysis is still challenging as the reluctivity exhibits a discontinuity at the reversal points when using the fixed-point ...

Ease of access, from virtual care to mental health services, has become the defining expectation for patients, says Highmark ...

When a crowd gets something right, like guessing how many beans are in a jar, forecasting an election, or solving a difficult ...