Overview Modern AI laptops come with dedicated Neural Processing Units (NPUs) that are ideal for boosting AI-related ...
This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...
Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...
A research team has introduced a new out-of-core mechanism, Capsule, for large-scale GNN training, which can achieve up to a 12.02× improvement in runtime efficiency, while using only 22.24% of the ...
On February 11, the team from the Data Darkness Lab (DDL) at the Medical Imaging Intelligence and Robotics Research Center of the University of Science and Technology of China (USTC) Suzhou Institut ...
Researchers are training neural networks to make decisions more like humans would. This science of human decision-making is only just being applied to machine learning, but developing a neural network ...
A two-chip photonic neuromorphic system performs real time spiking reinforcement learning using only light, achieving ...
Ellucian, the leading higher education technology solutions provider, announces its sponsorship of the 2026 HBCU AI Conference and Training Summit, hosted by Huston-Tillotson University (HTU) in ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released a core quantum machine learning technology oriented toward sequential learning tasks—the ...