A Cornell University research team developed a control framework that simultaneously considers past and future conditions when determining solar panel tilt angle. The researchers told pv magazine it ...

New testing tool: MIT researchers introduced MetaEase to find worst-case scenarios in networking algorithms before they disrupt cloud services. Faster verification: MetaEase examines source code ...

EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — boosting MMLU scores by 18 points over human baselines.

So when it comes to models that the general public can access, GPT-5.5 has retaken the crown for OpenAI, achieving the state-of-the-art across 14 benchmarks.

Identified and explained in detail the gaps and possible future works for improvement in two popular research papers that used heuristic and meta-heuristic algorithms to solve multi-objective vehicle ...

A key question about LLMs is whether they solve reasoning tasks by learning transferable algorithms or simply memorizing training data. This distinction matters: while memorization might handle ...

Have you ever wondered why certain memories of your partner stand out more than others, shaping your perception of your relationship? This phenomenon can be explained by the availability heuristic, a ...

YouTube this week put out a new video meant to address creators’ questions over its short-form video platform, YouTube Shorts. The questions it answered ranged from how the algorithm for Shorts ...

This project aimed to implement three well-known meta-heuristic algorithms: cuckoo search (CS), bat algorithm (BA), and flower pollination algorithm (FPA). We found that three algorithms could have a ...

Abstract: This paper provides a novel meta-heuristic optimization algorithm for solving continuous optimization problems efficiently in the field of numerical and engineering optimization: Piranha ...