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Lessons from the field: What decision-makers want to know about multi-agentic systems

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

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 …

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‘Optical neural engine’ can solve partial differential equations

by AI Generated Robotic ContentAI/ML NewsPosted on Comments are Disabled

Partial differential equations (PDEs) are a class of mathematical problems that represent the interplay of multiple variables, and therefore have predictive power when it comes to complex physical systems. Solving these equations is a perpetual challenge, however, and current computational techniques for doing so are time-consuming and expensive.

Updates to Apple’s On-Device and Server Foundation Language Models

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

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 …

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Correcting the Record: Responses to the May 30, 2025 New York Times Article on Palantir

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

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, …

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Reference Architecture Pipecat

Building intelligent AI voice agents with Pipecat and Amazon Bedrock – Part 1

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

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 …

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