Skip to content
  • Contact
  • Privacy Policy
  • Press Releases
    • PRNewswire
    • GlobeNewswire
March 2026
M T W T F S S
 1
2345678
9101112131415
16171819202122
23242526272829
3031  
« Feb    
  • Home
  • Automobiles
  • Artificial Intelligence
  • Applications
  • Learning
  • Technology
  • Contact
  • Privacy Policy
  • Press Releases
    • PRNewswire
    • GlobeNewswire
aifuturefront.com
aifuturefront.com
  • Home
  • Automobiles
  • Artificial Intelligence
  • Applications
  • Learning
  • Technology
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

Source: MarkTechPost In this tutorial, we build a safety-critical reinforcement learning pipeline that learns entirely from fixed, offline...
Feb 4, 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

Source: MarkTechPost Qwen team has just released Qwen3-Coder-Next, an open-weight language model designed for coding agents and local...
Feb 3, 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

Source: MarkTechPost In this tutorial, we present an advanced, hands-on tutorial that demonstrates how we use Qrisp to...
Feb 3, 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

Source: MarkTechPost In this tutorial, we build a robust, multi-layered safety filter designed to defend large language models...
Feb 3, 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

Source: MarkTechPost Google has introduced Conductor, an open source preview extension for Gemini CLI that turns AI code...
Feb 2, 2026
nvidia-ai-brings-nemotron-3-nano-30b-to-nvfp4-with-quantization-aware-distillation-(qad)-for-efficient-reasoning-inference

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

Source: MarkTechPost NVIDIA has released Nemotron-Nano-3-30B-A3B-NVFP4, a production checkpoint that runs a 30B parameter reasoning model in 4...
Feb 2, 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

Source: MarkTechPost In this tutorial, we explore how federated learning behaves when the traditional centralized aggregation server is...
Feb 2, 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

Source: MarkTechPost Robbyant, the embodied AI unit inside Ant Group, has open sourced LingBot-World, a large scale world...
Jan 31, 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

Source: MarkTechPost Allen Institute for AI (AI2) Researchers introduce SERA, Soft Verified Efficient Repository Agents, as a coding...
Jan 30, 2026
a-coding-implementation-to-training,-optimizing,-evaluating,-and-interpreting-knowledge-graph-embeddings-with-pykeen

A Coding Implementation to Training, Optimizing, Evaluating, and Interpreting Knowledge Graph Embeddings with PyKEEN

Source: MarkTechPost In this tutorial, we walk through an end-to-end, advanced workflow for knowledge graph embeddings using PyKEEN,...
Jan 30, 2026
7891011