Systems biology modeling is entering a new phase. For decades, computational models—ODE and PDE systems, stochastic simulations, constraint-based networks, ...

Integrating AI with advanced robotics to create self-driving labs (SDL) is a promising approach to tackling molecular discovery.

“The chip combines the low latency of SRAM-first designs with the long-context support of HBM,” MatX co-founder and Chief ...

Cervical spondylotic myelopathy (CSM) refers to spinal cord compression from arthritis in the neck and is the leading cause of spinal cord dysfunction in older adults. CSM is a chronic, progressive ...

If mHC scales the way early benchmarks suggest, it could reshape how we think about model capacity, compute budgets and the ...

Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry transitions into an ordered state, it can form stable imperfections known as ...

Abstract: This paper presents a model-based design of a Cross Traffic Alert (CTA) system using full SysML integration. We develop the CTA system model in CATIA Magic through all nine core SysML ...

Electrochemical impedance spectroscopy (EIS) provides valuable insights into the physical processes within batteries – but how can these measurements directly inform physics-based models? In this ...

The company remains tight-lipped on how it uses customer content to train its own AI model, which can generate layered designs that are easier to edit. Canva has built its own foundational AI model ...

A global leader in aerospace and defense technology, providing innovative solutions to meet the complex challenges of our customers worldwide. Their mission is to deliver advanced capabilities in ...