Artificial intelligence
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Microsoft Unveils Maia 200, FP4 and FP8 Optimized AI Inference Accelerator for Azure Datacenters
Maia 200 is Microsoft’s new AI accelerator designed to be deployed in Azure datacenters. It addresses the cost of generating…
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Ant Group Releases LingBot-VLA, a Language-Based Model for Real-World Robot Transformation
How do you build a single-vision language action model that can control many different binary robots in the real world?…
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Beyond the Dialog Box: Productive UI, AG-UI, and Stack-Driven Application Frameworks Behind the Scenes
Most AI applications still show the model as a dialog box. That interface is simple, but hides what the agents…
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Google DeepMind Unveils AlphaGenome: An Integrated Sequence-to-Function Model Using Hybrid Transformers and U-Nets to Extract the Human Genome
Google DeepMind is expanding its biological toolkit beyond the world of protein folding. After the success of AlphaFold, a team…
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Alibaba Introduces Qwen3-Max-Thinking, a Scaled Test-Time Model for Consulting a Native Tool Using Agentic Workloads
Qwen3-Max-Thinking is Alibaba’s new dominant thinking model. It not only measures parameters, it also changes the way it is thought,…
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MBZUAI Releases K2 Think V2: The 70B Fully-Dominated Thinking Model for Math, Coding, and Science
Does the fully open thinking model fit the state of the art programs where all parts of its training pipeline…
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Tencent Hunyuan Releases HPC-Ops: A High-Performance LLM Library for Inference Operators
Tencent Hunyuan has open-sourced HPC-Ops, a production-grade library for large-scale object modeling language definitions. HPC-Ops focuses on low-level CUDA kernels…
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A Simple Guide to Home Improvement
Imagine running your favorite productivity app at 30,000 feet – no internet, no loading speakers, no freezing. You keep typing,…
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In-House vs. External Data Labeling: Pros and Cons
Choosing a data labeling model seems easy on paper: hire a team, use the crowd, or outsource to a provider.…
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How Machine Learning and Semantic Embedding Reframe CVE Vulnerability Beyond CVSS Raw Scores
def visualize_results(df, priority_scores, feature_importance): fig, axes = plt.subplots(2, 3, figsize=(18, 10)) fig.suptitle('Vulnerability Scanner - ML Analysis Dashboard', fontsize=16, fontweight="bold") axes[0,…
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