Nvidia Nemotron Is Now Available in Puter.js
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Drawbot – let's hack something cute
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What Generative Adversarial Networks Are Capable of? — A Python Project on MNIST Dataset.
pub.towardsai.net·3d
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How Stanford researchers design reliable, human-focused AI systems
news.stanford.edu·3d
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[P] I visualized 8,000+ LLM papers using t-SNE — the earliest “LLM-like” one dates back to 2011
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ELYADATA & LIA at NADI 2025: ASR and ADI Subtasks
arxiv.org·19h
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Deepmind’s latest AI agent learns by exploring unfamiliar games and AI-built worlds
the-decoder.com·1d
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VEDA: 3D Molecular Generation via Variance-Exploding Diffusion with Annealing
arxiv.org·19h
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AdaCuRL: Adaptive Curriculum Reinforcement Learning with Invalid Sample Mitigation and Historical Revisiting
arxiv.org·1d
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“The success of an AI product depends on how intuitively users can interact with its capabilities”
towardsdatascience.com·7h
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WiMi Studies Quantum Generative Adversarial Network Model and Hybrid Classification Model
prnewswire.com·8h
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Reinforcing Trustworthiness in Multimodal Emotional Support Systems
arxiv.org·19h
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The Online Patch Redundancy Eliminator (OPRE): A novel approach to online agnostic continual learning using dataset compression
arxiv.org·2d
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Author Correction: Learning the natural history of human disease with generative transformers
nature.com·2d
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Why the Frontend Should Run AI Models Locally With ONNX
thenewstack.io·2d
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