Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

Smart city systems are increasingly powered by AI operating across networks of Internet of Things (IoT) devices. These systems process vast amounts of data in real time to support applications such as ...

This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to reduce GPU costs in high-volume production environments.

Nvidia has a structured data enablement strategy. Nvidia provides libaries, software and hardware to index and search data ...

Many Qwen LLMs are among the most popular models on Hugging Face (Fig. 1). Qwen is continuously developing the models: after the convincing Qwen3 release in April 2025, the provider introduced a new ...

The prediction that transistor counts on microchips would keep doubling every two years gave the tech industry its growth ...

Artificial intelligence is no longer a futuristic concept reserved for tech giants. Today, businesses across healthcare, retail, finance, and ...

MLIP calculations successfully identify suitable dopants for a novel photocatalytic material, report researchers from the ...

Scientists usually study the molecular machinery that controls gene expression from the perspective of a linear, two-dimensional genome—even though DNA and its bound proteins function in three ...

You can now run LLMs for software development on consumer-grade PCs. But we’re still a ways off from having Claude at home.

The focus of artificial-intelligence spending has gone from training models to using them. Here’s how to understand the ...

The Steam Machine is back from the dead. Not as a Valve-supported program for manufacturers to create living room PCs, but instead as a home console sibling to the Steam Deck. Valve introduced its ...