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MarkTechPost
marktechpost.com > 02/04/2026 > google-introduces-agentic-vision-in-gemini-3-flash-for-active-image-understanding

Google Introduces Agentic Vision in Gemini 3 Flash for Active Image Understanding

Google Introduces Agentic Vision in Gemini 3 Flash for Active Image Understanding1+ hour, 57+ min ago   (341+ words) Frontier multimodal models usually process an image in a single pass. If they miss a serial number on a chip or a small symbol on a building plan, they often guess. Google's new Agentic Vision capability in Gemini 3 Flash changes…...

MarkTechPost
marktechpost.com > 02/03/2026 > a-coding-implementation-to-train-safety-critical-reinforcement-learning-agents-offline-using-conservative-q-learning-with-d3rlpy-and-fixed-historical-data

A Coding Implementation to Train Safety-Critical Reinforcement Learning Agents Offline Using Conservative Q-Learning with d3rlpy and Fixed Historical Data

A Coding Implementation to Train Safety-Critical Reinforcement Learning Agents Offline Using Conservative Q-Learning with d3rlpy and Fixed Historical Data17+ hour, 24+ min ago   (268+ words) We set up the environment by installing dependencies, importing libraries, and fixing random seeds for reproducibility. We detect and configure the computation device to ensure consistent execution across systems. We also define a utility to create configuration objects safely across…...

MarkTechPost
marktechpost.com > 02/03/2026 > qwen-team-releases-qwen3-coder-next-an-open-weight-language-model-designed-specifically-for-coding-agents-and-local-development

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

Qwen Team Releases Qwen3-Coder-Next: An Open-Weight Language Model Designed Specifically for Coding Agents and Local Development1+ day, 1+ hour ago   (469+ words) The model is positioned for agentic coding, browser-based tools, and IDE copilots rather than simple code completion. Qwen3-Coder-Next is trained with a large corpus of executable tasks and reinforcement learning so that it can plan, call tools, run code, and…...

MarkTechPost
marktechpost.com > 02/03/2026 > how-to-build-advanced-quantum-algorithms-using-qrisp-with-grover-search-quantum-phase-estimation-and-qaoa

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

How to Build Advanced Quantum Algorithms Using Qrisp with Grover Search, Quantum Phase Estimation, and QAOA1+ day, 2+ hour ago   (488+ words) How to Build Advanced Quantum Algorithms Using Qrisp with Grover Search, Quantum Phase Estimation, and QAOA'MarkTechPost In this tutorial, we present an advanced, hands-on tutorial that demonstrates how we use Qrisp to build and execute non-trivial quantum algorithms. We walk…...

MarkTechPost
marktechpost.com > 02/02/2026 > how-to-build-multi-layered-llm-safety-filters-to-defend-against-adaptive-paraphrased-and-adversarial-prompt-attacks

How to Build Multi-Layered LLM Safety Filters to Defend Against Adaptive, Paraphrased, and Adversarial Prompt Attacks

How to Build Multi-Layered LLM Safety Filters to Defend Against Adaptive, Paraphrased, and Adversarial Prompt Attacks1+ day, 20+ hour ago   (240+ words) We set up the Colab environment and installed all required dependencies for the safety pipeline. We securely load the OpenAI API key using Colab Secrets or a hidden prompt fallback. We ensure that all libraries are correctly imported so the…...

MarkTechPost
marktechpost.com > 02/02/2026 > google-releases-conductor-a-context-driven-gemini-cli-extension-that-stores-knowledge-as-markdown-and-orchestrates-agentic-workflows

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

Google Releases Conductor: a context driven Gemini CLI extension that stores knowledge as Markdown and orchestrates agentic workflows2+ day, 24+ min ago   (606+ words) Google has introduced Conductor, an open source preview extension for Gemini CLI that turns AI code generation into a structured, context driven workflow. Conductor stores product knowledge, technical decisions, and work plans as versioned Markdown inside the repository, then drives…...

MarkTechPost
marktechpost.com > 02/01/2026 > how-to-build-memory-driven-ai-agents-with-short-term-long-term-and-episodic-memory

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

How to Build Memory-Driven AI Agents with Short-Term, Long-Term, and Episodic Memory2+ day, 17+ hour ago   (294+ words) We set up the execution environment and ensure all required libraries are available. We handle optional OpenAI integration while keeping the notebook fully runnable without any API keys. We establish the base imports and configuration that the rest of the…...

MarkTechPost
marktechpost.com > 02/01/2026 > a-coding-and-experimental-analysis-of-decentralized-federated-learning-with-gossip-protocols-and-differential-privacy

A Coding and Experimental Analysis of Decentralized Federated Learning with Gossip Protocols and Differential Privacy

A Coding and Experimental Analysis of Decentralized Federated Learning with Gossip Protocols and Differential Privacy2+ day, 20+ hour ago   (315+ words) We set up the execution environment and installed all required dependencies. We initialize random seeds and device settings to maintain reproducibility across experiments. We also load the MNIST dataset, which serves as a lightweight yet effective benchmark for federated learning…...

MarkTechPost
marktechpost.com > 01/30/2026 > robbyant-open-sources-lingbot-world-a-real-time-world-model-for-interactive-simulation-and-embodied-ai

Robbyant Open Sources LingBot World: a Real Time World Model for Interactive Simulation and Embodied AI

Robbyant Open Sources LingBot World: a Real Time World Model for Interactive Simulation and Embodied AI4+ day, 20+ hour ago   (668+ words) Robbyant, the embodied AI unit inside Ant Group, has open sourced LingBot-World, a large scale world model that turns video generation into an interactive simulator for embodied agents, autonomous driving and games. The system is designed to render controllable environments…...

MarkTechPost
marktechpost.com > 01/30/2026 > ai2-releases-sera-soft-verified-coding-agents-built-with-supervised-training-only-for-practical-repository-level-automation-workflows

AI2 Releases SERA, Soft Verified Coding Agents Built with Supervised Training Only for Practical Repository Level Automation Workflows

AI2 Releases SERA, Soft Verified Coding Agents Built with Supervised Training Only for Practical Repository Level Automation Workflows4+ day, 23+ hour ago   (523+ words) Allen Institute for AI (AI2) Researchers introduce SERA, Soft Verified Efficient Repository Agents, as a coding agent family that aims to match much larger closed systems using only supervised training and synthetic trajectories. SERA is the first release in AI2s Open Coding…...