Inference protection is a preventive approach to LLM privacy that stops sensitive data from ever reaching AI models. Learn how de-identification enables secure, compliant AI workflows with ...

Neuroscientists use AI and genetic datasets from 23andMe to map how language develops in the brain, revealing links between rhythm and dyslexia.

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 ...

The PPC referral process was best understood as a dynamic system involving four primary agents: oncologists, interprofessional oncology teams, PPC teams, and the patient and family. Each agent's ...

Milestone Systems has released an advanced vision language model (VLM) specializing in traffic understanding, powered by NVIDIA Cosmos Reason, a framework designed to enable advanced reasoning across ...

Digital engineering and modeling and simulation (M&S) are transformative approaches that enable precision, efficiency and innovation in munitions production and warfighter capabilities. By integrating ...

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 ...

For decades, data centers were designed with permanence in mind: fixed plans, rigid shapes and predictable life cycles. Physical constraints of legacy architectures made them inherently static. But in ...

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 ...

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 ...

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, ...