Abstract: Back-electromotive force (back-EMF) based sensorless control is widely applied in permanent magnet synchronous motor (PMSM) drives. For high-gain back-EMF observers, the control law often ...

turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...

A new study published today in Nature has found that X’s algorithm – the hidden system or “recipe” that governs which posts appear in your feed and in which order – shifts users’ political opinions in ...

To address the issues of suboptimal sparsity and the tendency of clustering algorithms to converge to local optima in the estimation of the mixing matrix within underdetermined blind source separation ...

It’s hard to ignore the seismic shifts brought about by algorithm-driven content. Every time you scroll through your social media feed or check your favorite news app, algorithms are diligently at ...

Learn how recommendation algorithms, streaming recommendations, and social media algorithms use content recommendation systems to deliver personalized recommendations. Pixabay, TungArt7 From movie ...

While the creation of this new entity marks a big step toward avoiding a U.S. ban, as well as easing trade and tech-related tensions between Washington and Beijing, there is still uncertainty ...

Previously we discussed about the data storing strategies and role based access control (RBAC). In this article, we will be looking at the indexing algorithms used in vector databases, their types and ...

Instagram is introducing a new tool that lets you see and control your algorithm, starting with Reels, the company announced on Wednesday. The new tool, called “Your Algorithm,” lets you view the ...

The Australian Energy Market Operator (AEMO) says “timely investments” are essential to unlock the full value of renewables and reduce reliance on coal generators for system security as the nation’s ...

With the widespread application of Federated Learning (FL) in distributed data environments, enhancing system communication efficiency while maintaining model performance has become a critical ...