Chipmakers Nvidia and Groq entered into a non-exclusive tech licensing agreement last week aimed at speeding up and lowering ...

Recently, the team led by Guoqi Li and Bo Xu from the Institute of Automation, Chinese Academy of Sciences, published a ...

Tiiny AI has demonstrated a 120-billion-parameter large language model running fully offline on a 14-year-old consumer PC.

AWS, Cisco, CoreWeave, Nutanix and more make the inference case as hyperscalers, neoclouds, open clouds, and storage go ...

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

Until now, AI services based on large language models (LLMs) have mostly relied on expensive data center GPUs. This has ...

Researchers from the University of Edinburgh and NVIDIA have introduced a new method that helps large language models reason ...

Enterprises expanding AI deployments are hitting an invisible performance wall. The culprit? Static speculators that can't keep up with shifting workloads. Speculators are smaller AI models that work ...

Since April, Xiaomi has released a series of open-source foundation models covering language, multimodal and voice capabilities. In November, it also unveiled Xiaomi Miloco, a smart home exploration ...

ETRI, South Korea’s leading government-funded research institute, is establishing itself as a key research entity for ...

In a major advancement for AI model evaluation, the Institute of Artificial Intelligence of China Telecom (TeleAI) has introduced a groundbreaking metric--Information Capacity--that redefines how ...

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...