These top 10 edge AI chips are designed to accelerate artificial-intelligence workloads without being power-hungry.

Large language models (LLMs) are poised to have a disruptive impact on health care. Numerous studies have demonstrated ...

To enlarge the receptive field and obtain global self-attention more flexibly, we propose the MW-Swin Transformer; the architecture is similar to the feature pyramid network, using different-sized ...

Even before entering the mystical realms of UHF design, radio frequency (RF) circuits come with a whole range of fun design aspects as well. A case in point can be found in transmission line ...

The AI cluster connects to the front-end networks via Ethernet through a network interface card (NIC), which can go up to ...

A new Fibre Channel host bus adapter (HBA) secures data between servers and storage while providing real-time ransomware ...

Packet-based data transfer mechanisms enable higher bandwidth, better routing optimization, and reduced congestion.

Even so, this component has been touched up further in DLSS 4, especially in games that let you switch from the previously employed Convolutional Neural Networks (CNN) AI model to its new Transformer ...

(3) Decoder-only text encoder: we replaced T5 with a modern decoder-only small LLM as the text encoder and designed complex human instruction with in-context learning to enhance the image-text ...