Tripo AI Announces $50 Million in Funding and New Models for Production-Ready 3D Generation

Tripo AI today announced $50 million in new funding alongside a new generation of 3D model architectures designed to generate production-ready assets directly within native three-dimensional space.

Turning CO₂ into methanol: Multilayer machine learning speeds up search for better catalysts

Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...
IEEE

A Unified Model and Flux Observer for Dual Three-Phase Electric Machines

Abstract: Dual three-phase (DTP) electric machines are increasingly favored in industrial applications and automotive electric drive systems. Different machine types are used in different scenarios ...

Open source Mamba 3 arrives to surpass Transformer architecture with nearly 4% improved language modeling, reduced latency

This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to ...

AI analysis of nanoribbon assembly reveals protein design principles

Two parallel experiments in protein self-assembly produced strikingly different results, demonstrating that protein designers ...
MacRumors

Parallels Confirms MacBook Neo Can Run Windows in a Virtual Machine

Parallels Desktop virtualization software is compatible with the new MacBook Neo, according to an update from the company – but Windows VM performance will depend on your intended use case. From ...
Fast Company

AI companies fighting with the U.S. government over safety? ‘The X-Files’ predicted it in 1993

With its many extraterrestrial guest stars, The X-Files was always meant to be a spooky show. One of its earliest episodes, however, is now eerie in a way its creators likely never intended. In “Ghost ...
IEEE

A Parallel Feedback Obfuscation Strong PUF against Machine-Learning Modeling Attacks and Lightweight Authentication Protocol

Abstract: Arbiter physical unclonable function (APUF) is a hardware security primitive that generates security keys by utilizing unavoidable process variations during chip manufacturing. However, the ...
The Lancet

Development and validation of an explainable machine learning model for predicting postoperative pulmonary complications after lung cancer surgery: a machine learning study

bSchool of Nursing, Hunan University of Medicine, Huaihua, Hunan Province, China cSchool of Nursing, Zunyi Medical University, Zunyi, Guizhou Province, China dThoracic Surgery Department, Affiliated ...