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This AI Paper Investigates Test-Time Scaling of English-Centric RLMs for Enhanced...

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AI Agents Are Here. How Much Should We Let Them Do?

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Genie 2: A large-scale foundation world model

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TinyAgent: Function Calling at the Edge

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GenCast predicts weather and the risks of extreme conditions with state-of-the-art...

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Education

Fast-learning robots: 10 Breakthrough Technologies 2025

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Generative AI search: 10 Breakthrough Technologies 2025

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Are We Ready for Multi-Image Reasoning? Launching VHs: The Visual Haystacks...

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Natural Language Processing

Small language models: 10 Breakthrough Technologies 2025

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Unlock the Future: AI Agents and LLMs at Chatbot Conference 2024

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Google DeepMind at NeurIPS 2024

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Rime Introduces Arcana and Rimecaster (Open Source): Practical Voice AI Tools...

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Google DeepMind Introduces AlphaEvolve: A Gemini-Powered Coding AI Agent for Algorithm...

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FDA AI deployment: Innovation vs oversight in drug regulation

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Saudi Arabia moves to build its AI future with HUMAIN and...

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Rime Introduces Arcana and Rimecaster (Open Source): Practical Voice AI Tools...

The field of Voice AI is evolving toward more representative and adaptable systems. While many existing models have been trained on carefully curated, studio-recorded audio, is pursuing a different direction: building foundational voice models that reflect how people actually speak. Its two latest releases, and , are...