AI News

Microsoft doesn’t want any of this

Maybe I’m just punch-drunk in my third week attending Musk v. Altman, but I have become very, very fond of Microsoft during the course of this trial. They don’t want to be here any more than I do. Their opening statement was honestly one of the most Microsoft things I’ve ever seen. More than anything […]

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Physical AI Conference Comes to San Jose as Robotics & Autonomous AI Go Mainstream 

The Physical AI Conference shaping the future of robotics, autonomous systems and real-world AI deployment lands in Silicon Valley this May, bringing together the engineers, builders and AI pioneers turning intelligence into physical action.  Physical AI Expo North America will take place on May 18–19, 2026 at the San Jose McEnery Convention Center, uniting global AI innovators, robotics leaders, […]

The post Physical AI Conference Comes to San Jose as Robotics & Autonomous AI Go Mainstream  appeared first on AI News.

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Google DeepMind Introduces an AI-Enabled Mouse Pointer Powered by Gemini That Captures Visual and Semantic Context Around the Cursor

Google DeepMind researchers have outlined four interaction principles and released experimental demos of an AI-enabled mouse pointer powered by Gemini — one that captures the visual and semantic context around the cursor so users can point, speak in natural shorthand, and get things done without switching to a separate AI window.

The post Google DeepMind Introduces an AI-Enabled Mouse Pointer Powered by Gemini That Captures Visual and Semantic Context Around the Cursor appeared first on MarkTechPost.

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Mira Murati’s Thinking Machines Lab Introduces Interaction Models: A Native Multimodal Architecture for Real-Time Human-AI Collaboration

Thinking Machines Lab has introduced a research preview of TML-Interaction-Small, a 276B parameter Mixture-of-Experts model with 12B active parameters, built around a multi-stream, time-aligned micro-turn architecture that processes 200ms chunks of audio, video, and text simultaneously — eliminating the need for external voice-activity detection harnesses. Unlike standard turn-based models that freeze perception during generation, the system runs two components in parallel: a real-time interaction model that maintains continuous full-duplex exchange with the user, and an asynchronous background model that handles sustained reasoning and tool use while sharing the full conversation context throughout.

The post Mira Murati’s Thinking Machines Lab Introduces Interaction Models: A Native Multimodal Architecture for Real-Time Human-AI Collaboration appeared first on MarkTechPost.

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Data centers are coming for rural America

At its peak, the Androscoggin paper mill in Jay, Maine, a rural town about 67 miles northwest of Portland, employed about 1,500 people – until a pulp digester exploded in 2020, forcing the mill to close permanently. In 2023, the 1.4 million-square-foot facility was purchased through a joint venture by JGT2 Redevelopment and a number […]

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Alexa is moving into Amazon․com

Amazon is bringing Alexa Plus to Amazon.com, integrating its LLM-powered AI assistant directly into the company’s shopping experience. Beginning today, when you type a query into Amazon, you’ll be talking to Alexa for Shopping, the company’s new shopping assistant, powered by Alexa Plus. So, while a search for “toilet paper” will still return the expected […]

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