The LancetOpinion

Deception in clinical large language models: an under-recognised safety risk

Large language models (LLMs) are rapidly being integrated into clinical workflows, supporting tasks such as diagnosis ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
IEEE

Approximate Nonlinear Model Predictive Control With Safety-Augmented Neural Networks

Model predictive control (MPC) achieves stability and constraint satisfaction for general nonlinear systems but requires computationally expensive online optimization. This brief studies ...
Entrepreneur

Why Predictive Service Is the Next Big Thing For Your Customer Service

To drive growth, companies should transform customer support from reactive to predictive and proactive. Using foresight, ethical data and strategic alignment can turn customer experience into a key ...
Wired

A New Kind of AI Model Lets Data Owners Take Control

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.
GitHub

Nonlinear model predictive control(NMPC) with Extended State Observer(ESO) for robust quadrotor control, built on PX4 autopilot framework.

src/ ├─ px4ctrl/ # ESO-NMPC controller core ├─ sim_rc/ # Remote control simulator │ └─ sim_rc_node # Gazebo RC simulation node ├─ utils/ # Dependency packages │ ├─ cmake_utils/ # CMake configuration ...
IEEE

Nonlinear Model Predictive Control for Internet of Things Using Particle Swarm Optimization and Cloud Computing

Abstract: This paper proposes a novel model predictive control design for Internet of Things (IoT) applications by using the generalized opposition-based learning particle swarm optimization algorithm ...
POWER Magazine

AI-Driven Predictive Maintenance: The Future of Reliability in Power Plants

Artificial intelligence (AI) is transforming the energy sector, helping power plant operators optimize efficiency, reduce emissions, and prevent costly equipment failures. By analyzing vast amounts of ...
C&EN

Efficient Model Predictive Control Implementation via Machine Learning: An Algorithm Selection and Configuration Approach

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...