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Thursday, February 12, 2026
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Mistral AI Launches Voxtral Transcribe 2: Pairing Batch Diarization And Open Realtime ASR For Multilingual Production Workloads At Scale
  • AI
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Mistral AI Launches Voxtral Transcribe 2: Pairing Batch Diarization And Open Realtime ASR For Multilingual Production Workloads At Scale

  • 0

Automatic speech recognition (ASR) is becoming a core building block for AI products, from meeting tools to voice agents. Mistral’s […]

NVIDIA AI Release VibeTensor: An AI Generated Deep Learning Runtime Built End to End by Coding Agents Programmatically
  • agentic AI
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NVIDIA AI Release VibeTensor: An AI Generated Deep Learning Runtime Built End to End by Coding Agents Programmatically

  • 0

NVIDIA has released VIBETENSOR, an open-source research system software stack for deep learning. VIBETENSOR is generated by LLM-powered coding agents […]

How to Build Efficient Agentic Reasoning Systems by Dynamically Pruning Multiple Chain-of-Thought Paths Without Losing Accuracy
  • agentic AI
  • AI
  • Editors Pick
  • Staff
  • Tutorials

How to Build Efficient Agentic Reasoning Systems by Dynamically Pruning Multiple Chain-of-Thought Paths Without Losing Accuracy

  • 0

In this tutorial, we implement an agentic chain-of-thought pruning framework that generates multiple reasoning paths in parallel and dynamically reduces […]

Qwen Team Releases Qwen3-Coder-Next: An Open-Weight Language Model Designed Specifically for Coding Agents and Local Development
  • agentic AI
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Qwen Team Releases Qwen3-Coder-Next: An Open-Weight Language Model Designed Specifically for Coding Agents and Local Development

  • 0

Qwen team has just released Qwen3-Coder-Next, an open-weight language model designed for coding agents and local development. It sits on […]

How to Build Advanced Quantum Algorithms Using Qrisp with Grover Search, Quantum Phase Estimation, and QAOA
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How to Build Advanced Quantum Algorithms Using Qrisp with Grover Search, Quantum Phase Estimation, and QAOA

  • 0

In this tutorial, we present an advanced, hands-on tutorial that demonstrates how we use Qrisp to build and execute non-trivial […]

How to Build Multi-Layered LLM Safety Filters to Defend Against Adaptive, Paraphrased, and Adversarial Prompt Attacks
  • AI
  • Artificial Intelligence
  • Context Engineering
  • Editors Pick
  • prompt engineering
  • Security
  • Staff
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How to Build Multi-Layered LLM Safety Filters to Defend Against Adaptive, Paraphrased, and Adversarial Prompt Attacks

  • 0

In this tutorial, we build a robust, multi-layered safety filter designed to defend large language models against adaptive and paraphrased […]

Google Releases Conductor: a context driven Gemini CLI extension that stores knowledge as Markdown and orchestrates agentic workflows
  • agentic AI
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Google Releases Conductor: a context driven Gemini CLI extension that stores knowledge as Markdown and orchestrates agentic workflows

  • 0

Google has introduced Conductor, an open source preview extension for Gemini CLI that turns AI code generation into a structured, […]

The Statistical Cost of Zero Padding in Convolutional Neural Networks (CNNs)
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The Statistical Cost of Zero Padding in Convolutional Neural Networks (CNNs)

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What is Zero Padding Zero padding is a technique used in convolutional neural networks where additional pixels with a value […]

NVIDIA AI Brings Nemotron-3-Nano-30B to NVFP4 with Quantization Aware Distillation (QAD) for Efficient Reasoning Inference
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NVIDIA AI Brings Nemotron-3-Nano-30B to NVFP4 with Quantization Aware Distillation (QAD) for Efficient Reasoning Inference

  • 0

NVIDIA has released Nemotron-Nano-3-30B-A3B-NVFP4, a production checkpoint that runs a 30B parameter reasoning model in 4 bit NVFP4 format while […]

How to Build Memory-Driven AI Agents with Short-Term, Long-Term, and Episodic Memory
  • agentic AI
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How to Build Memory-Driven AI Agents with Short-Term, Long-Term, and Episodic Memory

  • 0

In this tutorial, we build a memory-engineering layer for an AI agent that separates short-term working context from long-term vector […]

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