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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”
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”
With Apple Intelligence, we’re integrating powerful generative AI right into the apps and experiences people use every day, all while protecting their privacy. At the 2025 Worldwide Developers Conference we introduced a new generation of language foundation models specifically developed to enhance the Apple Intelligence features in our latest software releases. We also introduced the …
Read more “Updates to Apple’s On-Device and Server Foundation Language Models”
Editor’s Note: In light of the recent New York Times article, this blog post seeks to identify and respond to specific allegations, assumptions, and statements made in the article about Palantir, offering corrections to inaccuracies and clarifying misrepresentations about the work Palantir does and doesn’t do. Overview At Palantir, we welcome, to the greatest extent possible, …
Read more “Correcting the Record: Responses to the May 30, 2025 New York Times Article on Palantir”
Voice AI is transforming how we interact with technology, making conversational interactions more natural and intuitive than ever before. At the same time, AI agents are becoming increasingly sophisticated, capable of understanding complex queries and taking autonomous actions on our behalf. As these trends converge, you see the emergence of intelligent AI voice agents that …
Read more “Building intelligent AI voice agents with Pipecat and Amazon Bedrock – Part 1”
A refresher on the most common misconceptions about Palantir, what we do, and how we work Editor’s Note: This is the seventh post in Palantir Explained, a series that explores a range of topics, including our approach to privacy, security, AI/ML safety, and more. In this post, we revisit some of the themes discussed in our …
Read more “Palantir Is Still Not a Data Company (Palantir Explained, #7)”
Recordings of business meetings, interviews, and customer interactions have become essential for preserving important information. However, transcribing and summarizing these recordings manually is often time-consuming and labor-intensive. With the progress in generative AI and automatic speech recognition (ASR), automated solutions have emerged to make this process faster and more efficient. Protecting personally identifiable information (PII) …
Read more “Build a serverless audio summarization solution with Amazon Bedrock and Whisper”
The pace of innovation in open-source AI is breathtaking, with models like Meta’s Llama4 and DeepSeek AI’s DeepSeek. However, deploying and optimizing large, powerful models can be complex and resource-intensive. Developers and machine learning (ML) engineers need reproducible, verified recipes that articulate the steps for trying out the models on available accelerators. Today, we’re excited …
Read more “Accelerate your gen AI: Deploy Llama4 & DeepSeek on AI Hypercomputer with new recipes”