Technology

Sparkle’s ‘Thundermage’ concept pitches Thunderbolt as a GPU port

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News

The Download: AI’s coding promise, and OpenAI’s longevity push

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News

OpenAI’s agent tool may be nearing release

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News

AI Briefing: Copyright Battles Bring Meta and OpenAI Datasets Under the...

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Technology

News Roundup: Top Five News of the Week, From TikTok’s Ban...

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Technology

Microsoft follows Google in price hike, forcing AI 365 bundles

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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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DeepMind

Today’s Android app deals and freebies: Agatha Knife, Miden Tower, Runic...

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Featured

News

Researchers at UT Austin Introduce Panda: A Foundation Model for Nonlinear...

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Education

Qwen Researchers Proposes QwenLong-L1: A Reinforcement Learning Framework for Long-Context Reasoning...

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Natural Language Processing

Meta AI Introduces Multi-SpatialMLLM: A Multi-Frame Spatial Understanding with Multi-modal Large...

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News

A Step-by-Step Coding Implementation of an Agent2Agent Framework for Collaborative and...

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AI Observer

Researchers at UT Austin Introduce Panda: A Foundation Model for Nonlinear...

Chaotic systems, such as fluid dynamics or brain activity, are highly sensitive to initial conditions, making long-term predictions difficult. Even minor errors in modeling these systems can rapidly grow, which limits the effectiveness of many scientific machine learning (SciML) approaches. Traditional forecasting methods rely on models trained on specific...