Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, innovatively launches a quantum-enhanced deep convolutional neural network image 3D reconstruction ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

This article talks about how Large Language Models (LLMs) delve into their technical foundations, architectures, and uses in ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a chatbot is more humanlike and aware than it actually is, like believing it's ...

Neuroscientists have been trying to understand how the human brain supports numerous advanced capabilities for centuries. The ...

Digital Twin of the Ocean is a continuously updated virtual counterpart of the real ocean that exchanges data in real time ...

Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...

Overview Rapid innovation is reshaping the IT landscape - compelling professionals to learn high‑demand skills in cloud ...

Corn is one of the world's most important crops, critical for food, feed, and industrial applications. In 2023, corn ...