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 ...

Why is a Chinese quant shop behind one of the world’s strongest open-weight LLMs? It turns out that modern quantitative investing and frontier AI labs are converging on the same institutional machine: ...

In 1930, a young physicist named Carl D. Anderson was tasked by his mentor with measuring the energies of cosmic ...

Artificial intelligence has pushed its way into daily life at a remarkable speed. Along with it has come a new vocabulary that often leaves non-experts struggling to follow the conversation. From ...

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

Bill Gates is backing a bold bet that the next leap in computing power will not come from squeezing more transistors onto silicon, but from replacing electrons with light. The startup Neurophos is ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

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 ...