MedTech Dive

BD’s Bilal Muhsin talks AI in connected care

Muhsin discussed how BD is rolling out a new medication dispenser and a software platform that pulls together data from the ...

British Police Built a Sprawling Crime-Prediction Machine. Some Results Couldn’t Be Trusted

As UK police embrace the AI revolution, a WIRED investigation reveals the messy inside story of one region’s experiment with ...
InfoWorld

Using Visual Studio Code’s ‘air-gapped’ AI model mode

VS Code can use LLM models other than GitHub Copilot’s built-in providers for AI-assisted development, including local and ...
Decrypt

OpenAI's GPT-5.5 Cyber AI Beats Anthropic's Banned Mythos Model—And Nobody's Shutting It Down

GPT-5.5 Cyber tops the CyberGym leaderboard as Anthropic's best models sit offline under a Trump administration export ban.
IEEE

Practical Nonlinear Model Predictive Control With Kolmogorov–Arnold Network Models

Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
GitHub

predictive-control

Public experiment log using Get Physics Done (GPD) with Codex to explore predictive control of tokamak plasma turbulence and confinement. A physics-based flight simulator for optimizing airbrake ...
Scientific Research Publishing

Hybrid Deep Reinforcement Learning and Model Predictive Control for Microgrids ()

The current microgrids are experiencing growing difficulties in voltage stability and operational capacity, particularly with constant power loads (CPLs), leading to negative impedance behavior and ...
Game Rant

How to Use the Dam Control Tower Key in ARC Raiders

Marc Santos is a Guides Staff Writer from the Philippines with a BA in Communication Arts and over six years of experience in writing gaming news and guides. He plays just about everything, from ...
IEEE

Model-Free Predictive Control for PMSM Drives Using Ultra-Local With Poincaré Mapping Causality

Abstract: Model-free predictive control (MFPC) has become a popular choice for addressing the robustness limitations of model-based predictive control (MBPC), by replacing physical models with ...