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The Machine Learning and Deep Learning “Advent Calendar” Series: The Blueprint Towards Data Science

The Machine Learning and Deep Learning “Advent Calendar” Series: The BlueprintTowards Data Science Opening the black box of ML models, step by step, directly in Excel
The post The Machine Learning and Deep Learning “Advent Calendar” Series: The Blueprint appeared first on Towards Data Science.

 Opening the black box of ML models, step by step, directly in Excel
The post The Machine Learning and Deep Learning “Advent Calendar” Series: The Blueprint appeared first on Towards Data Science. Read More  

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Meta AI Researchers Introduce Matrix: A Ray Native a Decentralized Framework for Multi Agent Synthetic Data Generation MarkTechPost

Meta AI Researchers Introduce Matrix: A Ray Native a Decentralized Framework for Multi Agent Synthetic Data Generation MarkTechPost

Meta AI Researchers Introduce Matrix: A Ray Native a Decentralized Framework for Multi Agent Synthetic Data GenerationMarkTechPost How do you keep synthetic data fresh and diverse for modern AI models without turning a single orchestration pipeline into the bottleneck? Meta AI researchers introduce Matrix, a decentralized framework where both control and data flow are serialized into messages that move through distributed queues. As LLM training increasingly relies on synthetic conversations, tool traces
The post Meta AI Researchers Introduce Matrix: A Ray Native a Decentralized Framework for Multi Agent Synthetic Data Generation appeared first on MarkTechPost.

 How do you keep synthetic data fresh and diverse for modern AI models without turning a single orchestration pipeline into the bottleneck? Meta AI researchers introduce Matrix, a decentralized framework where both control and data flow are serialized into messages that move through distributed queues. As LLM training increasingly relies on synthetic conversations, tool traces
The post Meta AI Researchers Introduce Matrix: A Ray Native a Decentralized Framework for Multi Agent Synthetic Data Generation appeared first on MarkTechPost. Read More  

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The Greedy Boruta Algorithm: Faster Feature Selection Without Sacrificing Recall Towards Data Science

The Greedy Boruta Algorithm: Faster Feature Selection Without Sacrificing RecallTowards Data Science A modification to the Boruta algorithm that dramatically reduces computation while maintaining high sensitivity
The post The Greedy Boruta Algorithm: Faster Feature Selection Without Sacrificing Recall appeared first on Towards Data Science.

 A modification to the Boruta algorithm that dramatically reduces computation while maintaining high sensitivity
The post The Greedy Boruta Algorithm: Faster Feature Selection Without Sacrificing Recall appeared first on Towards Data Science. Read More  

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The Best Proxy Providers for Large-Scale Scraping for 2026 KDnuggets

The Best Proxy Providers for Large-Scale Scraping for 2026 KDnuggets

The Best Proxy Providers for Large-Scale Scraping for 2026KDnuggets Robust proxies allow you to rotate identities, reach any region, and bypass sophisticated anti-bot systems, all while protecting your infrastructure from blocks and blacklisting.

 Robust proxies allow you to rotate identities, reach any region, and bypass sophisticated anti-bot systems, all while protecting your infrastructure from blocks and blacklisting. Read More  

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CISA Adds Actively Exploited XSS Bug CVE-2021-26829 in OpenPLC ScadaBR to KEV The Hacker Newsinfo@thehackernews.com (The Hacker News)

The U.S. Cybersecurity and Infrastructure Security Agency (CISA) has updated its Known Exploited Vulnerabilities (KEV) catalog to include a security flaw impacting OpenPLC ScadaBR, citing evidence of active exploitation. The vulnerability in question is CVE-2021-26829 (CVSS score: 5.4), a cross-site scripting (XSS) flaw that affects Windows and Linux versions of the software via Read More 

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StepFun AI Releases Step-Audio-R1: A New Audio LLM that Finally Benefits from Test Time Compute Scaling MarkTechPost

StepFun AI Releases Step-Audio-R1: A New Audio LLM that Finally Benefits from Test Time Compute Scaling MarkTechPost

StepFun AI Releases Step-Audio-R1: A New Audio LLM that Finally Benefits from Test Time Compute ScalingMarkTechPost Why do current audio AI models often perform worse when they generate longer reasoning instead of grounding their decisions in the actual sound. StepFun research team releases Step-Audio-R1, a new audio LLM designed for test time compute scaling, address this failure mode by showing that the accuracy drop with chain of thought is not an
The post StepFun AI Releases Step-Audio-R1: A New Audio LLM that Finally Benefits from Test Time Compute Scaling appeared first on MarkTechPost.

 Why do current audio AI models often perform worse when they generate longer reasoning instead of grounding their decisions in the actual sound. StepFun research team releases Step-Audio-R1, a new audio LLM designed for test time compute scaling, address this failure mode by showing that the accuracy drop with chain of thought is not an
The post StepFun AI Releases Step-Audio-R1: A New Audio LLM that Finally Benefits from Test Time Compute Scaling appeared first on MarkTechPost. Read More  

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Metric Deception: When Your Best KPIs Hide Your Worst Failures Towards Data Science

Metric Deception: When Your Best KPIs Hide Your Worst FailuresTowards Data Science The most dangerous KPIs aren’t broken; they’re the ones trusted long after they’ve lost their meaning.
The post Metric Deception: When Your Best KPIs Hide Your Worst Failures appeared first on Towards Data Science.

 The most dangerous KPIs aren’t broken; they’re the ones trusted long after they’ve lost their meaning.
The post Metric Deception: When Your Best KPIs Hide Your Worst Failures appeared first on Towards Data Science. Read More  

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NVIDIA AI Releases Orchestrator-8B: A Reinforcement Learning Trained Controller for Efficient Tool and Model Selection MarkTechPost

NVIDIA AI Releases Orchestrator-8B: A Reinforcement Learning Trained Controller for Efficient Tool and Model Selection MarkTechPost

NVIDIA AI Releases Orchestrator-8B: A Reinforcement Learning Trained Controller for Efficient Tool and Model SelectionMarkTechPost How can an AI system learn to pick the right model or tool for each step of a task instead of always relying on one large model for everything? NVIDIA researchers release ToolOrchestra, a novel method for training a small language model to act as the orchestrator- the ‘brain’ of a heterogeneous tool-use agent From
The post NVIDIA AI Releases Orchestrator-8B: A Reinforcement Learning Trained Controller for Efficient Tool and Model Selection appeared first on MarkTechPost.

 How can an AI system learn to pick the right model or tool for each step of a task instead of always relying on one large model for everything? NVIDIA researchers release ToolOrchestra, a novel method for training a small language model to act as the orchestrator- the ‘brain’ of a heterogeneous tool-use agent From
The post NVIDIA AI Releases Orchestrator-8B: A Reinforcement Learning Trained Controller for Efficient Tool and Model Selection appeared first on MarkTechPost. Read More