Scientific American

The next AI revolution could start with world models

Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

AI Startup Faces Staff Exodus 6 Months After $2 Billion Funding Round

TM was founded in February 2025, and it raised $2 billion in seed funding in July in a round led by Andreessen Horowitz with ...
Live Science

Tapping into new 'probabilistic computing' paradigm can make AI chips use much less power, scientists say

A new digital system allows operations on a chip to run in parallel, so an AI program can arrive at the best possible answer ...

Inside OpenAI’s Raid on Thinking Machines Lab

OpenAI is planning to bring over more researchers from Thinking Machines Lab after nabbing two cofounders, a source familiar ...
IEEE

Enhanced Multi-objective Model Predictive Control for Permanent Magnet Assisted Synchronous Reluctance Machines: A Robust Implementation with Sparse Parameter Identification

Abstract: Model predictive control of permanent magnet machines is still attracting attention due to the need of simultaneously addressing computational burden, robustness to parameter variance and ...
IEEE

High-Frequency Modeling of Permanent Magnet Synchronous Machines Using Grey Box Models

Abstract: A universal grey box model is proposed to model permanent magnet synchronous machines (PMSMs) with interior magnets for a wide frequency range. The proposed model supports the analysis of ...