Abstract: Multimodal large models have achieved significant progress in general domains, yet in high-risk applications across specialised fields such as healthcare, finance, and industry, they still ...

Understanding how learning and cognition unfold in real time has long been a central aim of cognitive neuroscience (1). Considerable progress has been achieved in elucidating core cognitive functions ...

Over the past few years, AI systems have become much better at discerning images, generating language, and performing tasks within physical and virtual environments. Yet they still fail in ways that ...

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We introduce 'Thinking with Video', a new paradigm leveraging video generation for multimodal reasoning. Our VideoThinkBench shows that Sora-2 surpasses GPT5 by 10% on eyeballing puzzles and reaches ...

Google just fired the next shot in the AI arms race, and it’s a big one. The company has unveiled Gemini 3, calling it its most powerful reasoning and multimodal model yet, and positioning it as the ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...