#adaptive learning algorithm

100 related articles

Jul 29, 2026·2 min

Stop Blindly Using Adam: The Hidden Pitfalls and Practical Boundaries of Optimizers

Deep analysis of Adam optimizer failure mechanisms in RL and deep Transformer training, revealing the mathematical roots of loss burstiness from second moment estimation, with practical solutions.

Jul 28, 2026·3 min

Anthropic Breaks HAWK-256: A Security Wake-Up Call for Post-Quantum Signature Schemes

Anthropic publishes a practical key-recovery attack on HAWK-256, exposing vulnerabilities in post-quantum signature schemes and implications for PQC standardization.

Jul 28, 2026·3 min

Kimi Delta Attention Explained: The Evolution from Standard Attention to Linear Attention

Deep dive into Kimi Delta Attention (KDA): from standard Softmax attention's quadratic bottleneck through linear attention, Delta Rule, and gated decay mechanisms — the complete evolution explained.

Jul 28, 2026·3 min

Kimi Delta Attention Explained: The Evolution from Standard Attention to Linear Attention

A deep dive into Kimi Delta Attention (KDA): tracing the evolution from quadratic Softmax attention through linear attention, Delta rules, and gated decay mechanisms, with insights on associative memory and hardware optimization.

Jul 28, 2026·3 min

PIRL Framework Explained: A Smooth Transition from Open-Loop Exploration to Closed-Loop Reinforcement Learning

Deep dive into the PIRL reinforcement learning framework: how to smoothly transition from open-loop exploration to closed-loop RL, mitigating the exploration-exploitation dilemma and improving sample efficiency.

Jul 28, 2026·2 min

Can 45 Yes/No Questions Let an LLM Identify 16 Cards? An Information Theory Perspective on AI Reasoning

Analyzing whether LLMs can identify 16 cards through 45 yes/no questions from an information theory perspective. Exploring AI reasoning capabilities in constraint-based multi-turn tasks.

Jul 28, 2026·3 min

Kimi K3 vs Claude Real-World Test: Near-Equal Performance at 1/8 the Price

Real-world comparison of Kimi K3 vs Claude flagship across e-commerce pages, 3D fighting games, and flight simulators. Kimi K3 delivers 90% output quality at 1/8 the price with faster speeds and local deployment support.

Jul 28, 2026·4 min

Statistical Foundations of Machine Learning: From MLE to EWMA and Deep Learning Optimizer Principles

Deep analysis of core ML statistics concepts covering MLE derivation, multivariate Gaussian, linear regression and least squares equivalence, empirical risk minimization, method of moments, and EWMA's connection to Adam optimizer.

Jul 28, 2026·4 min

Statistical Foundations of Machine Learning: From MLE to EWMA and Deep Learning Optimizer Principles

Deep dive into core ML statistics: MLE derivations, multivariate Gaussian, linear regression and least squares equivalence, empirical risk minimization, method of moments, and how EWMA connects to Adam optimizer.

Jul 28, 2026·3 min

Practical Guide to Agent Development: The Complete Path from Zero to Commercial Deployment

A systematic guide to AI Agent development from beginner to deployment, covering task planning, tool calling, memory management, learning paths, and realistic commercial monetization considerations.

Jul 27, 2026·3 min

How Student Robotics Programs Are Igniting Passion for Future Manufacturing Careers

How student robotics programs use CAD, computer vision, CNC machining, and full tech stacks to spark youth interest in manufacturing and automation careers, bridging STEM education and industry needs.

Jul 27, 2026·4 min

GenAI Job Interview Gone Wrong: Interviewer Googles Gemini for Questions on the Spot — What's Broken in AI Hiring?

A fresh grad interviewing for a GenAI Trainer role faced prime number coding and activation function questions while the interviewer used Gemini to generate questions live — exposing AI hiring chaos.

Jul 24, 2026·7 min

DeepSeek's Mysteriously Retracted Paper: Breaking AI's Multimodal Reasoning Bottleneck with Visual Primitives

DeepSeek's paper 'Thinking with Visual Primitives' was online for just 4 hours before being pulled. It uses bounding boxes and points as reasoning primitives, letting models 'point at' images to outperform GPT, Gemini, and Claude on maze navigation and counting.

Jul 23, 2026·4 min

Java Developer to AI Architect: A Three-Layer Capability Upgrade Roadmap

How can Java engineers transition to AI Architect? This article breaks down three core capability layers — AI app development, production RAG, and AI Agent orchestration — using Spring AI Alibaba and LangChain4j to turn your Java foundation into a competitive edge.

Jul 23, 2026·7 min

Context Engineering: A Systematic Approach to Stop AI Agents from 'Talking Nonsense'

Context engineering is the core methodology for building efficient AI Agents, covering query enhancement, RAG retrieval, prompt design, memory management, and tool invocation. Master Write, Select, Compress, and Isolate to solve LLM hallucination at its root.

Kronos Financial Foundation Model: Usi…

Jul 23, 2026·7 min

Kronos Financial Foundation Model: Using AI to Read the Market Language of Candlesticks

Kronos is the first open-source foundation model treating candlestick data as the "language of financial markets," using an autoregressive Transformer and earning 32K GitHub Stars. A deep dive into its principles, applications, and limits.

Jul 21, 2026·2 min

Gradient-Free Evolutionary Model GENREG: How Radial Space Search Bypasses Backpropagation

GENREG-Radial Space is a gradient-free evolutionary optimization model that replaces backpropagation with structured radial space search. This article analyzes its core mechanisms, temporal evolution design, exploration-exploitation balance, and potential as a hybrid paradigm.

DeepTutor: An Open-Source AI Tutoring …

Jul 20, 2026·2 min

DeepTutor: An Open-Source AI Tutoring System for Lifelong Personalized Learning

DeepTutor is an open-source lifelong personalized AI tutoring system from HKUDS with 26,000+ GitHub stars. Explore its knowledge tracing, RAG, and multi-agent architecture.

Jul 19, 2026·3 min

Greenhouse Controller Showdown: Why Reinforcement Learning Lost to a Rule-Based Baseline

An open benchmark in GreenLight-Gym2 compares four greenhouse controllers, revealing why model-free RL (PPO) underperforms hand-tuned rules and how MPC and hybrid RL-in-MPC approaches can help.

Jul 19, 2026·3 min

Gradient Descent and Backpropagation Explained: How Neural Networks Learn from Scratch

Understand how neural networks learn: a complete guide to cost functions, gradient descent, backpropagation, and SGD — ideal for deep learning beginners building intuition from the ground up.