Tech Xplore on MSN

Approximate domain unlearning: Enabling safer and more controllable vision-language models

Vision-language model (VLM) is a core technology of modern artificial intelligence (AI), and it can be used to represent ...
Nature

What is the expectation maximization algorithm?

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...
Hosted on MSN

Simplified Sachdev-Ye-Kitaev model simulated on trapped-ion quantum computer

The simulation of strongly interacting many-body systems is a key objective of quantum physics research, as it can help to test the predictions of physics theories and yield new valuable insight.
IEEE

Compressed Space Quantum Approximate Optimization Algorithm for Constrained Combinatorial Optimization

Abstract: Combinatorial optimization is a promising area for achieving quantum speedup. The quantum approximate optimization algorithm (QAOA) is designed to search for low-energy states of the Ising ...
Live Science on MSN

New 'physics shortcut' lets laptops tackle quantum problems once reserved for supercomputers and AI

Physicists have transformed a decades-old technique for simplifying quantum equations into a reusable, user-friendly ...
IEEE

Predictive Fault Diagnosis Inter-Turn Short Circuit PM Motor based on Machine Learning Algorithms for Elevator Applications

Abstract: The occurrence of short circuits in the stator windings is one of the main issues of Permanent Magnet Synchronous Motors (PMSMs) used particularly in elevator systems. Therefore, it is ...
GitHub

Experience true randomness in your music. Break free from algorithmic bubbles with mathematically pure shuffle using the Fisher-Yates algorithm.

EXPO_PUBLIC_SPOTIFY_CLIENT_ID=your_spotify_client_id_here Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would ...