WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

Mark Zuckerberg’s generation built the digital playgrounds where we spent the last two decades, the likes of Alexandr Wang, ...

One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...

Will artificial intelligence ever be able to reason, learn, and solve problems at levels comparable to humans? Experts at the ...

Mathematics, like many other scientific endeavors, is increasingly using artificial intelligence. Of course, math is the backbone of AI, but mathematicians are also turning to these tools for tasks ...

Artificial intelligence (AI) is rapidly reshaping how software is built, and increasingly, how it’s taught. At the 2026 ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

Operational technology systems are not ready for the recent NIST cybersecurity standards. Given the constraints, ...

Brain cells are constantly swallowing material from the fluid that surrounds them—signaling molecules, nutrients, even pieces of their own surfaces—in a process known as endocytosis that is essential ...