OpenAI introduces GPT-5.6 to challenge Claude Mythos 5

OpenAI Group PBC today introduced GPT-5.6, a new series of large language models that it says can outperform Claude Mythos 5 ...
Frontiers

Renewable Energy and Artificial Intelligence in Urban Agriculture: Pathfinding Smart and Sustainable Food Systems

By 2050, urban centers will house nearly 70% of the global population. Transitioning to localized food production via Urban Agriculture (UA) including ...
Interesting Engineering

Cruise missile path planning cut down from days to minutes with new MBDA tool

MBDA's FastTrack AI generates optimized cruise missile flight paths by analyzing terrain, weather, and enemy air defenses.
The Manila Times

Quantum X Labs Launches Integrated Quantum Computing Program Combining Its Clinical Trials Data Analysis Quantum Algorithm and Its Quantum Error Correction Decoder

Strategic initiative to accelerate practical quantum computing through cross-platform execution to reach fault-tolerant performance optimization ...
Wired

A New Algorithm Makes It Faster to Find the Shortest Paths

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...
IEEE

A Dynamic Critical Path Algorithm for Scheduling Scientific Workflow Applications on Global Grids

Abstract: Effective scheduling is a key concern for the execution of performance driven grid applications. In this paper, we propose a dynamic critical path (DCP) based workflow scheduling algorithm ...
thecooldown

Experts make critical breakthrough that could drastically impact efforts to remove dangerous materials from the ocean: 'Far more effective'

A new AI-powered solution could transform how we clean up plastic pollution in the ocean by making removal more efficient, according to a new study published in Operations Research by INFORMS. The ...
IEEE

Exploring a Favorable Tradeoff for Finding Every Efficient Path in Large-Scale Networks

Abstract: Multiobjective shortest path problem (MSPP) is one of the most critical issues in network optimization, aimed at identifying all efficient paths across conflicting objectives. Nowadays, ...