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, ...
The Manila Times on MSN

Infrastructure AI drives automated engineering shift at Bentley Systems

CONSTRUCTIONEERING was the word coined by former Bentley Systems CEO Greg Bentley some seven years ago to define the age of ...
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 ...

MOF thin films reveal hidden dense packing, challenging decades of porous assumptions

Due to their high porosity, metal-organic frameworks (MOFs) are regarded as promising materials for innovative applications, ...
Tech Xplore

Open-source workflow tool showcases flexibility across energy system applications

The Horizon Europe project Mopo has published a new technical publication dedicated to Spine Toolbox, the open-source ...
Tech Xplore

Blame the model, not the machine—better data helps 3D-printed metamaterials match predictions

Additive manufacturing, such as 3D printing, provides an excellent opportunity to design metamaterials: materials with an ...
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.
sei.cmu

SEI and Accenture Release AI Adoption Maturity Model to Help Organizations Scale AI with Predictable Outcomes

PITTSBURGH, Pa., June 8, 2026—The Carnegie Mellon University Software Engineering Institute (SEI) and Accenture today released the Artificial Intelligence (AI) Adoption Maturity Model, an empirically ...