At the start of 2025, I predicted the commoditization of large language models. As token prices collapsed and enterprises ...

Yann LeCun is a Turing Award recipient and a top AI researcher, but he has long been a contrarian figure in the tech world.

Founders think in possibilities; investors think in probabilities. The difference can make or break a relationship. At my ...

Volvo CE designs smarter with model-based systems engineering (MBSE). By connecting requirements, models and field data into a single digital thread, they were able to reduce errors, accelerate ...

Systems Planning & Analysis has acquired Group W, a Vienna, Virginia–based data science and defense analytics firm specializing in modeling, simulation and wargaming support for the Department of ...

Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands The rapid growth of large-scale neuroscience datasets has spurred diverse modeling strategies, ranging ...

Abstract: Increased reliance on automation and connectivity exposes transportation cyber-physical systems (CPS) to many cyber vulnerabilities. Existing threat modeling frameworks are often narrow in ...

For as powerful and thrilling as the Tesla Model 3 Performance is, it lacks perhaps one of the most obvious settings for a vehicle like it – launch control. The new Tesla Model Y Performance, unveiled ...

Predicting performance for large-scale industrial systems—like Google’s Borg compute clusters—has traditionally required extensive domain-specific feature engineering and tabular data representations, ...

As 6G envisions the convergence of ultra-fast communications, integrated sensing, and native AI capabilities across diverse environments — including terrestrial, aerial, and satellite domains — ...

Abstract: The SGAM Toolbox has established itself as a valuable modeling tool in the energy sector, particularly for interdisciplinary system-of-systems use cases. Built on a domain-specific modeling ...