Grounded in unified data, new offering turns AI ambition into high-impact adoption through human-led expertise NEW ...
Johns Hopkins APL and GKN Aerospace are partnering to develop a system that simulates shipboard motion for metal 3D printing at sea — advancing the Navy’s ability to produce critical parts on demand.
Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes. So many that, when prompted with sequences from a cluster of related genes ...
Unveiled LTS - Lotus’ proprietary motorsport-derived engineering tuning standard, ensuring consistent driver-centric dynamics.Debut of LOTUS For Me, the first LTS-certified X-hybrid hyper-SUV, ...
The AI-native platform's new patent-pending Modeler Agent enables enterprises to build and evolve complex planning models at record speed.
In many real-world systems, such as fireflies flashing, Japanese tree frogs croaking, magnetic Janus particles, neurons firing, and in various engineered systems like drone swarms and wireless sensor ...
Building on lessons from an internal agent SDK called “Breadboard”, the agent step is not just another node in a workflow — ...
Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...
Abstract: A high fidelity dynamic model is constructed to address the nonlinearity, parameter uncertainty, and external disturbances in mechatronic servo systems. A self disturbance rejection control ...
Japan is an archipelago with diverse climate zones and complex topography that is prone to heavy rain and flooding. Add the ...
Managing director Bart Holsters explains why hybrid insourcing, competence assurance and sovereign readiness are becoming essential as artificial intelligence pushes datacentres to their limits.
Many personal transportation-related decisions—such as vehicle purchases—are influenced by life events, like the birth of a child or a change in employment. Modeling tools that reflect how life ...