Implementing Deep Q-Learning (DQN) from Scratch Using RLax JAX Haiku and Optax to Train a CartPole Reinforcement Learning Agent
In this tutorial, we implement a reinforcement learning agent using RLax, a research-oriented library developed by Google DeepMind for building reinforcement learning algorithms with JAX. We combine RLax with JAX, Haiku, and Optax to construct a Deep Q-Learning (DQN) agent that learns to solve the C...
Meet GitAgent: The Docker for AI Agents that is Finally Solving the Fragmentation between LangChain, AutoGen, and Claude Code
The current state of AI agent development is characterized by significant architectural fragmentation. Software devs building autonomous systems must generally commit to one of several competing ecosystems: LangChain, AutoGen, CrewAI, OpenAI Assistants, or the more recent Claude Code. Each of these ...
A Coding Implementation for Building and Analyzing Crystal Structures Using Pymatgen for Symmetry Analysis, Phase Diagrams, Surface Generation, and Materials Project Integration
In this tutorial, we explore the capabilities of the pymatgen library for computational materials science using Python. We begin by constructing crystal structures such as silicon, sodium chloride, and a LiFePO₄-like material, and then investigate their lattice properties, densities, and composition...
Safely Deploying ML Models to Production: Four Controlled Strategies (A/B, Canary, Interleaved, Shadow Testing)
Deploying a new machine learning model to production is one of the most critical stages of the ML lifecycle. Even if a model performs well on validation and test datasets, directly replacing the existing production model can be risky. Offline evaluation rarely captures the full complexity of real-wo...
A Coding Implementation to Build an Uncertainty-Aware LLM System with Confidence Estimation, Self-Evaluation, and Automatic Web Research
In this tutorial, we build an uncertainty-aware large language model system that not only generates answers but also estimates the confidence in those answers. We implement a three-stage reasoning pipeline in which the model first produces an answer along with a self-reported confidence score and a ...
New court filing reveals Pentagon told Anthropic the two sides were nearly aligned — a week after Trump declared the relationship kaput
Anthropic submitted two sworn declarations to a California federal court late Friday afternoon, pushing back on the Pentagon's assertion that the AI company poses an "unacceptable risk to national security" and arguing that the government's case relies on technical misunderstandings and claims that ...
NVIDIA Releases Nemotron-Cascade 2: An Open 30B MoE with 3B Active Parameters, Delivering Better Reasoning and Strong Agentic Capabilities
NVIDIA has announced the release of Nemotron-Cascade 2, an open-weight 30B Mixture-of-Experts (MoE) model with 3B activated parameters. The model focuses on maximizing ‘intelligence density,’ delivering advanced reasoning capabilities at a fraction of the parameter scale used by frontier models. Nem...
What happened at Nvidia GTC: NemoClaw, Robot Olaf, and a $1 trillion bet
CEO Jensen Huang took the stage at Nvidia’s GTC conference this week in his signature leather jacket to deliver a two-and-a-half-hour keynote, projecting $1 trillion in AI chip sales through 2027, declaring that every company needs an “OpenClaw strategy,” and closing with a rambling Olaf robot that ...
CEO Jensen Huang took the stage at Nvidia’s GTC conference this week in his signature leather jacket to deliver a two-and-a-half-hour keynote, projecting $1 trillion in AI chip sales through 2027, declaring that every company needs an “OpenClaw strategy,” and closing with a rambling Olaf robot that ...
A Coding Implementation Showcasing ClawTeam’s Multi-Agent Swarm Orchestration with OpenAI Function Calling
In this comprehensive tutorial, we present the core architecture of ClawTeam, an open-source Agent Swarm Intelligence framework developed by HKUDS. We implement the fundamental concepts that make ClawTeam powerful: a leader agent that decomposes complex goals into sub-tasks, specialized worker agent...
Trump’s AI framework targets state laws, shifts child safety burden to parents
Trump’s AI framework pushes federal preemption of state laws, emphasizes innovation, and shifts responsibility for child safety toward parents while laying out lighter-touch rules for tech companies.
Just 10% Secure AI, DivisionHex Unveils Threat Hunting Tool
Capability hunts down shadow AI, compromised agents, and AI systems behaving outside theirintended permissions Coalfire, an industry-leading cybersecurity services and solutions company, today announced a new AI Threat Hunting capability from its DivisionHex practice. It’s designed to uncover hidden...
SecuriThings Announced the Launch of AI-Powered Agentic Device Orchestrator
SecuriThings, the leader in physical security device management and remediation, today announced the launch of the Agentic Device Orchestrator, a breakthrough horizontal platform layer designed to simplify direct, device-level control of enterprise IoT estates. By leveraging advanced AI-powered orch...
Aikido Receives the 2026 Global ASPM Customer Value Leadership Recognition
This company is recognized for continuous innovation, strategic partnerships, and strong customer acquisition, delivering scalable and AI-driven application security posture management. Frost & Sullivan is pleased to announce that Aikido Security has been presented with the 2026 Global Customer Valu...
The "Human-in-the-Loop" Crisis: Designing for Regenerative Experience (RX)
In this article, AI Quantum Intelligence explores the following: Is AI causing cognitive atrophy? Explore the Regenerative Experience (RX) framework to restore human agency in the age of Agentic AI and autonomous coworkers.
Boost Security Announced the Launch of Developer Endpoint Security
New platform protects developer machines, coding agents, and AI-generated code before it reaches the repository Boost Security today announced Boost Security Developer Endpoint Security, a new platform designed to secure the rapidly expanding attack surface created by AI-powered software development...
Arango Launches Data Platform 4.0 for AI-Agent-Ready Data
Delivers unified, current, and trusted business context while accelerating the path from AI development to production At NVIDIA GTC, Arango today announced the release of Arango Contextual Data PlatformTM 4.0, designed to help organizations build and deploy enterprise AI agents, assistants, and appl...
Cenevo’s Labguru Drives Digital Lab Transformation for Pace® Life Sciences
Cenevo’s Labguru platform is delivering a comprehensive solution to centralize documentation processes at Pace® Life Sciences, a U.S.-based contract development and manufacturing organization (CDMO) and full-service good manufacturing practice (GMP) analytical laboratory service provider. Labguru is...