Artificial intelligence chip startup SiMa Technologies Inc. has unveiled what it says is the first system-on-chip platform that’s specifically designed to handle multimodal AI workloads at the ...

Researchers have been skeptical that recent AI advances can tell us much about human learning and development. To address this, a team training an AI model, not on massive data, but on the input that ...

Differences in SEDs, spectroscopic features, and spatial morphologies among various types of celestial objects. From top to bottom, the examples shown correspond to a galaxy, a quasar, and a star. The ...

NAS methods can generally be classified based on tailored designs from the following aspects: search space, search strategy, and evaluation strategy. In particular, search space can be further ...

NVIDIA's latest release, the NVLM-D-72B model, has once again drawn attention to the booming field of artificial intelligence and neural networks. With 72 billion parameters, this multimodal model can ...

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 ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

AI systems, such as GPT-4, can now learn and use human language, but they learn from astronomical amounts of language input—much more than children receive when learning how to understand and speak a ...