As national drought deepens, a new AI model helps balance water demands

As drought strains water supplies across much of the United States, Virginia Tech researchers have developed an artificial ...

Meta launches flagship Muse Spark 1.1 model with multi-agent upgrades

Muse Spark 1.1 is available in the company’s Meta AI chatbot service and via an application programming interface. The Meta ...
CNET

Meta Introduces a Big New AI Model for the Agentic Age

Meta on Thursday announced the next version of its multimodal Spark AI model, Muse Spark 1.1, calling it a significant ...

New physics-based machine-learning method speeds search for 2D quantum materials

Researchers at The University of Manchester have developed a new computational approach to help identify two-dimensional ...

Why marketing mix modeling is still hard to get right

Open-source tools have made MMM more accessible, but reliable results still depend on clean data, thoughtful modeling, and ...
Aerospace Manufacturing and Design

IMTS 2026 Conference: Evolution of ISO STEP: A Key Enabler of the Model-Based Enterprise

Learn about the history of ISO 10303 STEP standards and the STEP ecosystem.

Meta launches image generation model with coding, search capabilities

Meta Platforms Inc. today debuted an image generation model that can write code and search the web. Muse Image is the second ...
The Lancet

A multiagent large language model-based system to simulate the liver transplant selection committee: a retrospective cohort study

bTransplant AI Initiative, Ajmera Transplant Centre, University Health Network, University of Toronto, Toronto, ON, Canada cToronto General Hospital Research Institute, University Health Network, ...
IEEE

A Robust Rating Prediction Model for Recommendation Systems Based on Fake User Detection and Multi-Layer Feature Fusion

Abstract: The effectiveness of recommendation systems heavily relies on accurately predicting user ratings for items based on user preferences and item attributes derived from ratings and reviews.
IEEE

Explicit and Implicit Fusion Model-Based Digital-Twin Virtual Scene Construction Under Dynamic and Irregular Engineering Scene

Abstract: In recent years, digital-twin technology has gained significant attention in the field of engineering construction due to its potential in project planning, execution, and management.