Organization
307 Interestana reports mention Nvidia, newest first. Each links back to its publisher, with an AI summary of the original reporting where we have found no publisher terms that forbid one.
Google Research and UNSW Sydney have introduced GlucoFM, a novel self-supervised foundation model designed for continuous glucose monitoring (CGM). This model distinguishes itself by employing a dual-stream architecture, a departure from prior CGM models such as CGMformer, GluFormer, and CGM-JEPA…
Z.ai has released GLM-5.3-Flash, a new natively multimodal model that represents a significant advancement in the GLM-5 series. This model is characterized by its Mixture-of-Experts (MoE) architecture, featuring a total of 320 billion parameters with 18 billion active per token.
Perplexity has released Portable Computer, a local-first version of its agentic computing platform designed to run its agent harness, orchestrator, planner, tool router, and post-trained models directly on NVIDIA DGX Spark hardware.
NVIDIA has released Granite Speech 5.0 Turbo CTC, a new speech-to-text model that significantly advances transcription speed and accuracy. This model is designed to process audio data at unprecedented rates, achieving a processing speed of 100 hours of audio…
Oasis Security has identified a significant vulnerability within NVIDIA NemoClaw, a framework designed to facilitate the deployment of large language models (LLMs) and other AI applications. This weakness, detailed in a report shared with The Hacker News, could enable…
The emerging "neocloud" sector, comprising specialized GPU cloud providers, now includes five key companies: CoreWeave, Nebius, Lambda, Crusoe, and Groq. These entities offer distinct business models catering to the high-demand AI and machine learning workloads.
The rapid advancement of open-weight large language models (LLMs) has outpaced the hardware assumptions traditionally associated with their deployment. Models such as Kimi-K3, GLM-5.2, and DeepSeek-V4-Flash are rapidly closing the capability gap with proprietary AI systems.
NVIDIA has released a tutorial detailing how to build an advanced NeMo Guardrails pipeline designed to enhance enterprise AI safety by controlling Large Language Model (LLM)-based applications throughout the entire request lifecycle.