At GTC Paris — held alongside VivaTech, Europe’s largest tech event — NVIDIA founder and CEO Jensen Huang delivered a clear message: Europe isn’t just adopting AI — it’s building it. “We now have a new industry, an AI industry, and it’s now part of the new infrastructure, called intelligence infrastructure, that will be used …
Read more “NVIDIA CEO Drops the Blueprint for Europe’s AI Boom”
Mistral AI partners with Nvidia to launch European AI infrastructure platform, challenging US cloud giants while unveiling breakthrough reasoning models that rival OpenAI.Read More
Air-fried taters and corn cobs are a silly but welcome indulgence on the newest griddle from Blackstone.
A team of engineers, AI specialists and chip design researchers at the Chinese Academy of Sciences has designed, built and tested what they are describing as the first AI-based chip design system. The group has published a paper describing their system, called QiMeng, on the arXiv preprint server.
Introducing Self-Forcing, a new paradigm for training autoregressive diffusion models. The key to high quality? Simulate the inference process during training by unrolling transformers with KV caching. project website: https://self-forcing.github.io Code/models: https://github.com/guandeh17/Self-Forcing Source: https://x.com/xunhuang1995/status/1932107954574275059?t=Zh6axAeHtYJ8KRPTeK1T7g&s=19 submitted by /u/cjsalva [link] [comments]
There’s no doubt that search is one of the most fundamental problems in computing.
The rise of language models, and more specifically large language models (LLMs), has been of such a magnitude that it has permeated every aspect of modern AI applications — from chatbots and search engines to enterprise automation and coding assistants.
Apple researchers are advancing AI and ML through fundamental research, and to support the broader research community and help accelerate progress in this field, we share much of our research through publications and engagement at conferences. This week, the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), will take place in Nashville, Tennessee. Apple …
AI agents are transforming the landscape of customer support by bridging the gap between large language models (LLMs) and real-world applications. These intelligent, autonomous systems are poised to revolutionize customer service across industries, ushering in a new era of human-AI collaboration and problem-solving. By harnessing the power of LLMs and integrating them with specialized tools …
Read more “Automate customer support with Amazon Bedrock, LangGraph, and Mistral models”
This year, we’ve spent dozens of hours synthesizing hundreds of conversations with CXOs across leading organizations, trying to uncover their biggest thorns when it comes to building Multi-Agent Systems (MAS). These conversations have revealed a clear pattern: MAS is helping enterprises re-think clunky legacy processes, but many CXOs are focused on automating those legacy processes …
Read more “Lessons from the field: What decision-makers want to know about multi-agentic systems”