Vehicle routing optimisation encompasses a range of mathematical and computational strategies aimed at determining the most efficient routes for vehicle fleets. This field addresses challenges such as ...

Revvity, Inc. has unveiled Signals Xynthetica, an AI models-as-a-service platform linking in-silico molecular and materials ...

IndulgeRx’s new patent applications elevate IRX FOODSCORE™ and its Relevant Nutrition Scores (RNS) as the global ...

The supply chain is no longer a back-office afterthought. The global supply chain has become an essential business enabler and differentiator that can significa ...

Autoscaling is the primary method to control the performance level and the cost of cloud-native systems, thereby making them ...

Insilico Medicine has launched Science MMAI Gym, a domain-specific training infrastructure designed to transform LLMs into their best shape for drug discovery and development.

Recent research (2024-2025) consistently demonstrates the advantages of integrated AI-VR training: Knowledge Acquisition: ...

Wes Hanson, President and CEO states, "This Mineral Resource Estimate represents a pivotal milestone for Tower Mountain and ...

A quadruped robot uses deep reinforcement learning to master walking on varied terrains, demonstrating energy-efficient and adaptive locomotion in simulation.

Distributed Integrated Energy Microgrid, as a key infrastructure for the low-carbon transition of regional energy systems, faces critical challenges in achieving optimal operation—primarily due to ...

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...