Author: Livio Andrea Acerbo
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Anthropic’s $400M Biotech Bet Leads a Week of Bold AI Moves
Anthropic acquires Coefficient Bio for $400M, Microsoft launches three new AI models, and OpenAI alums deploy a $100M fund. Here’s what it means.
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AI’s Quiet Hours: What the Pause in Major Announcements Reveals About the Industry’s Next Move
The silence in AI announcements reveals strategic pauses in a rapidly evolving landscape.
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Physical AI Meets Enterprise: How SAP and ANYbotics Are Transforming Industrial Operations
SAP integrates ANYbotics’ four-legged autonomous robots into enterprise ERP software, signaling a significant shift in how physical AI enters the workplace.
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Google Releases Gemma 4: Lightweight AI Models Advance Machine Learning Accessibility
Google’s Gemma 4 models set new benchmarks for open AI efficiency, scoring up to 82.2% on MMLU with lightweight designs for machine learning applications.
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IBM’s Analog AI Chip Signals a New Era in Efficient Deep Learning Hardware
IBM Research unveils an analog AI chip with breakthrough efficiency for deep neural networks. Plus: MIT protein AI, ethics frameworks, and Google Veo 3 on Verte
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Agentic AI, Robotics, and Custom Chips: The Three Forces Reshaping Technology in 2026
Agentic AI, robotics, and custom chips are reshaping technology in 2026.
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Google Veo 3 Goes Public, Anthropic Spends $400M on Biotech, and Microsoft Drops Three New AI Models
Google opens Veo 3 to all on Vertex AI, Anthropic acquires Coefficient Bio for $400M, and Microsoft launches three foundational AI models. This week in AI.
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Google Gemma 4 and the New Era of Open AI Models: What It Means for Developers and Enterprises
Google’s Gemma 4 release signals a pivotal shift in open AI model accessibility.
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IBM’s Analog AI Chip Leads a Week of Landmark AI Hardware and Global Tech Deals
IBM unveils an analog AI chip for deep learning, Anthropic acquires Coefficient Bio for $400M, and the US-Japan AI pact reshapes the global tech landscape.
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Agentic AI, Physical Robotics, and Application-Specific Chips: The Three Trends Defining 2026’s Tech Landscape
Three trends are reshaping the tech landscape in 2026: agentic AI, robotics, and specialized chips.