One of the biggest promises of quantum computing is the ability to simulate molecules ...

Although the potential applications of quantum computing are widespread, a new feasibility study suggests quantum computers ...

Researchers explore quantum machine learning to detect financial risk faster in high-frequency trading, achieving promising accuracy in experimental models.

Drug discovery has traditionally been a reductive process—narrowing down, filtering out, and optimizing within established constraints. Generative AI turns that on its head. It is an expansive force, ...

Two popular quantum computing algorithms for problems in chemistry may have very limited use even as quantum hardware ...

The first entangling stage produces the dominant QFI increase, while additional stages yield diminishing returns. Entanglement primarily amplifies cross-parameter correlations rather than individual ...

A study by scientists at Hunan University introduces a new hydrogen isotope separation method that leverages proton quantum ...

Dr. Behrooz Razeghi is a postdoctoral researcher in the Biometric Security & Privacy group at the Idiap Research Institute.

多模态大模型的研发范式，正在被彻底重构。 今天，商汤科技联合南洋理工大学发布了最新技术成果：NEO-unify。 这是一套真正实现“原生、统一、端到端”的多模态模型架构，其最核心的突破在于： 彻底砍掉了长期以来行业依赖的视觉编码器（VE）和变分自编码器（VAE）。不再通过“组件拼凑”来实现感知与生成，回归第一性原理，直接以近乎无损的像素和文字作为原生输入。 通过创新的混合变换器（Mixture-o ...

What if staying alive depends on minimizing surprise? The Free Energy Principle suggests that feeling itself may be what that process is like from the inside.

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

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 ...