News

MicroAlgo Inc. Researches Quantum Machine Learning Algorithms to Accelerate Machine Learning Tasks
Shenzhen, May. 20, 2025/––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), announced that quantum algorithms will be deeply integrated with machine learning to explore practical ...
Machine learning algorithm brings long-read sequencing to the clinic
Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve ...
Astronomers discover what's at the center of a black hole
What lies at the heart of a black hole has puzzled physicists for decades. Now, a team led by physicist Enrico Rinaldi has ...
Science Daily8d
Machine learning simplifies industrial laser processes
Laser-based metal processing enables the automated and precise production of complex components, whether for the automotive industry or for medicine. However, conventional methods require time- and ...
Google DeepMind’s AI Agent Dreams Up Algorithms Beyond Human Expertise
A new system that combines Gemini’s coding abilities with an evolutionary approach improves data center scheduling and chip design, and fine-tunes large language models.
AZoBuild on MSN4d
AI Models Predict Concrete Strength Using Recycled Glass, Boosting Green Construction
A study reveals machine learning algorithms can predict compressive strength in concrete with waste glass powder, enhancing ...
Meet AlphaEvolve, the Google AI that writes its own code—and just saved millions in computing costs
Google DeepMind's AlphaEvolve AI system breaks a 56-year-old mathematical record by discovering a more efficient matrix ...
Devdiscourse13d
From honey to meat: How AI is exposing hidden food frauds with 98% accuracy
Machine learning (ML) and deep learning (DL) algorithms now enable robust, non-invasive authentication. Tools such as ...
Visual Studio Magazine7h
Linear Support Vector Regression Using C# with Particle Swarm Training
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...