A machine-learning loop searched 14 million battery cathode compositions and found fivefold performance gains across four metrics using fewer than 200 experiments.

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.

Researchers in Sweden developed a new methodology to optimize agrivoltaic systems across Europe, showing that row pitch, system type, and panel orientation must be tailored to local climate, crops, ...

February 23, 2026 - PRESSADVANTAGE - Infintech Designs has reached a milestone of 26 years in business, establishing ...

Operational Efficiencies and Resource Optimization Drive Measurable Environmental Impact Participation in Project Gigaton Highlights Commitment to Responsible Supply Chain Management BELVIDERE, N.J., ...

In the age of AI, the scarcest resource in headquarters is no longer time. It is, rather, the willingness to say no. Artificial intelligence is moving ...

Abstract: In this paper, a multi-objective topology optimization methodology which incorporates a novel hybrid multi-objective optimization (MOO) algorithm with a material-field series expansion (MFSE ...

Romanian software developer OVES Enterprise officially presented the Sahara Autonomous System project on Tuesday, February 17. The project represents the first cruise missile developed by a private ...

Without defined goals and measurable outcomes, activity can become scattered. A structured plan connects strategy to ...

Abstract: The development of orthopedic robots for epiphyseal surgery is still in its nascent stages, with lacking considerations for autonomous path planning and biological force. The objective of ...

Cirrus Nexus, a leader in Cost and Carbon-Intelligent Cloud solutions, today announced the availability of TrueCarbon, in the Microsoft Marketplace ...