Google DeepMind has unveiled Gemini Robotics On-Device, a compact, local version of its powerful vision-language-action (VLA) model, bringing advanced robotic intelligence directly onto devices. This marks a key step forward in the…
Category: AI
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ByteDance Researchers Introduce Seed-Coder: A Model-Centric Code LLM Trained on 6 Trillion Tokens
Reframing Code LLM Training through Scalable, Automated Data Pipelines
Code data plays a key role in training LLMs, benefiting not just coding tasks but also broader reasoning abilities. While many open-source models rely on…
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ByteDance Researchers Introduce VGR: A Novel Reasoning Multimodal Large Language Model (MLLM) with Enhanced Fine-Grained Visual Perception Capabilities
Why Multimodal Reasoning Matters for Vision-Language Tasks
Multimodal reasoning enables models to make informed decisions and answer questions by combining both visual and textual information. This type of reasoning plays a…
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A Coding Implementation for Creating, Annotating, and Visualizing Complex Biological Knowledge Graphs Using PyBEL
In this tutorial, we explore how to leverage the PyBEL ecosystem to construct and analyze rich biological knowledge graphs directly within Google Colab. We begin by installing all necessary packages, including PyBEL, NetworkX,…
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BAAI Launches OmniGen2: A Unified Diffusion and Transformer Model for Multimodal AI
Beijing Academy of Artificial Intelligence (BAAI) introduces OmniGen2, a next-generation, open-source multimodal generative model. Expanding on its predecessor OmniGen, the new architecture unifies text-to-image generation, image…
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ByteDance Researchers Introduce ProtoReasoning: Enhancing LLM Generalization via Logic-Based Prototypes
Why Cross-Domain Reasoning Matters in Large Language Models (LLMs)
Recent breakthroughs in LRMs, especially those trained using Long CoT techniques, show they can generalize impressively across different domains. Interestingly,…
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New from Chinese Academy of Sciences: Stream-Omni, an LLM for Cross-Modal Real-Time AI
Understanding the Limitations of Current Omni-Modal Architectures
Large multimodal models (LMMs) have shown outstanding omni-capabilities across text, vision, and speech modalities, creating vast potential for diverse…
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Anthropic Scores a Landmark AI Copyright Win—but Will Face Trial Over Piracy Claims
Anthropic has scored a major victory in an ongoing legal battle over artificial intelligence models and copyright, one that may reverberate across the dozens of other AI copyright lawsuits winding through the legal system in the United States. A…
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Combining XGBoost and Embeddings: Hybrid Semantic Boosted Trees?
The intersection of traditional machine learning and modern representation learning is opening up new possibilities.
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Getting Started with Microsoft’s Presidio: A Step-by-Step Guide to Detecting and Anonymizing Personally Identifiable Information PII in Text
In this tutorial, we will explore how to use Microsoft’s Presidio, an open-source framework designed for detecting, analyzing, and anonymizing personally identifiable information (PII) in free-form text. Built on top of the…
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