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 ...
eLife

Kinematic signatures in reaching movements during spaceflight provide evidence that humans underestimate body mass in microgravity

The authors present a solid study in the unique conditions of weightlessness providing evidence that movements carried out in 0g are underactuated. They further provide a thorough discussion based on ...
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.

The Architecture Of Trust: Why Quality Engineering Must Move Upstream In The AI Era

Adoption of AI, data platforms and digital technology is inevitable. The key question is whether organizations can trust what ...

Quantum computers model nine fusion fuel material configurations for first time

A team of scientists from Oak Ridge National Laboratory, Cleveland Clinic and IBM has calculated nine molecular ...
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 Transformer Neural Network Model-Based Method for TCXO Disciplining and Holdover

Abstract: While Temperature-Compensated Crystal Oscillators (TCXOs) provide an economical solution for local timing in communication systems, their inherent holdover limitations have historically ...
TMCnet

AiraBreeze Announces Entry into the Portable Cooling Products Industry with Introduction of Its First Consumer Cooling Solution

AiraBreeze stated that its inaugural product has been developed as a portable cooling solution intended for use in personal ...
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.