Spatially explicit population model can improve pesticide risk assessments in agricultural landscapes

A team of international scientists and risk assessment experts has developed a foundational blueprint for an innovative ...
TMCnet

Inductive Bio joins Anthropic's Connector Ecosystem for Life Sciences, Surfacing State-of-the-Art ADMET Prediction to Drug Discovery Scientists through Claude

Inductive's global ADMET prediction models are now available as a connector for Claude, enabling any drug discovery scientist working with Claude to access state-of-the-art predictive models directly ...

Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted consumer data. By combining ...

The Opportunities And Challenges In Modeling Human Embodied Intelligence

If human sensorimotor intelligence can be recovered as a learned model, systems can be trained that map perception into ...

Alibaba's model never trained as an agent — and improved agent performance across seven benchmarks

Real environments can't inject edge cases on demand. Alibaba's Qwen-AgentWorld simulates them — and outperformed ...
IEEE

Linear Reduced-Order Model Predictive Control

Abstract: Model predictive controllers use dynamics models to solve constrained optimal control problems. However, computational requirements for real-time control have limited their use to systems ...
PsyPost on MSN

How a new forecasting model accurately predicted the outcome of the 2024 presidential election

A forecasting framework that measures how voters evaluate candidates’ future leadership abilities and policy expertise accurately anticipated the closely contested outcome of the 2024 United States ...
IEEE

On Prediction Model Fidelity in Explicit Nonlinear Model Predictive Vehicle Stability Control

Abstract: This study discusses vehicle stability control based on explicit nonlinear model predictive control (NMPC) and investigates the influence of prediction model fidelity on controller ...
Phys.org

Predictive surrogates could cut quantum computing measurement overhead by more than 99.97%

Quantum computers, systems that process information leveraging quantum mechanical effects, have the potential of outperforming classical computers on some tasks. Despite their potential, the use of ...
Journal of Medical Internet Research

Explainable Predictive Model for Suicidal Ideation During COVID-19: Social Media Discourse Study

According to Local Interpretable Model-Agnostic Explanations (LIME) and Shapley Additive Explanations (SHAP) XAI algorithms, there was a drift in the features during and before COVID-19. Due to the ...
Sports Business Journal

Predictive modeling firm Recentive Analytics raises $45M Series B

Predictive modeling firm Recentive Analytics raised a $45M Series B funding round led by Wavecrest Growth Partners, with participation from Arthur Blank through AMB Sports and Entertainment and Steve ...
GitHub

Nonlinear Model-Predictive Control Using Koopman Operator

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...