Researchers from Meta and Google built AutoTTS to automatically discover optimal LLM reasoning strategies, cutting token ...

Dating apps are exhausting, so some singles are now trying to find love on the professional networking platform. Read more at ...

When the World Wide Web surged into existence during the 1990s, we were introduced to the problem of how to actually find ...

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.

Abstract: In this paper, we present an efficient algorithm for cluster analysis, which is based on gravitational search and a heuristic search algorithm. In the proposed algorithm, called GSA-HS, the ...

The path explosion problem poses a significant barrier in the domain of software testing, making it nearly impossible to exhaustively explore all execution paths in large or complex software. Despite ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

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 ...