Anthropic

Elon Musk envisions a Terawatt, or 1.43 billion GPUs, and 2.1x...

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Anthropic

Perplexity launches Sonar API to take on Google and OpenAI in...

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Anthropic

Dutch digital innovation plans threatened by power grid constraints

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Anthropic

DDN looks to AI leadership as it secures $300m investment

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Anthropic

AI comes alive: From bartenders, to surgical aides, to puppies, robots...

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Anthropic

AI or Not raises 5M dollars to stop AI fraud, deepfakes,...

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Anthropic

You can now fine tune your own version AI image maker...

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Anthropic

Anthropic agrees with music publishers to work together to prevent copyright...

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Anthropic

Claude AI and other system could be vulnerable to worrying Command...

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Anthropic

Can AI save the public sector? Will it deliver on its...

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L’Oreal: Making AI worthwhile

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NVIDIA AI Introduces Audio-SDS: A Unified Diffusion-Based Framework for Prompt-Guided Audio...

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AG-UI (Agent-User Interaction Protocol): An Open, Lightweight, Event-based Protocol that StandardizesĀ How...

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Education

PrimeIntellect Releases INTELLECT-2: A 32B Reasoning Model Trained via Distributed Asynchronous...

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Technology

Pippit AI Review: I Made a Viral Ad in Five Minutes

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NVIDIA AI Introduces Audio-SDS: A Unified Diffusion-Based Framework for Prompt-Guided Audio...

Audio diffusion models have achieved high-quality speech, music, and Foley sound synthesis, yet they predominantly excel at sample generation rather than parameter optimization. Tasks like physically informed impact sound generation or prompt-driven source separation require models that can adjust explicit, interpretable parameters under structural constraints. Score Distillation Sampling (SDS)—which...