1120 related articles

Sula is an open source Gemini protocol server written in Scryer Prolog. This article analyzes Gemini's design philosophy, Scryer Prolog's modern features, and the engineering value of building servers with logic programming.

NIST has officially standardized the ML-KEM (CRYSTALS-Kyber) post-quantum algorithm. This article covers ML-KEM principles, Python ecosystem implementation, hybrid deployment strategies, and critical challenges like constant-time execution and memory safety.
Claude Code Skills Encapsulation: Maki…
Learn how to encapsulate Claude Code Agent Skills for test case design. Solve prompt repetition pain points with on-demand loading and skill reuse techniques.
Deep DivesDeep breakdown of AI Agent Skill's three-layer architecture: decision layer dynamic routing, encapsulation layer SOP standardization, and execution layer state machine self-healing, with practical solutions for context explosion, error recovery, and generality balance.

Mem0 is an AI memory middleware for developers, providing a persistent memory layer for AI agents and apps to solve LLM cross-session amnesia.

Whop CLI brings entire business operations into the terminal, supporting AI Agents like Claude and Cursor to autonomously execute commands. One binary enables fully programmable business automation.

AI sycophancy is trapping leaders in cognitive blind spots. Learn why LLMs tend to flatter users, how echo chambers are amplified by AI, and practical strategies like adversarial prompting to rebuild sound judgment.

A developer applied SAM3 and RTMPose to 1950s black-and-white factory footage with zero fine-tuning and got accurate results. We analyze the technical logic and implications.

Cursor users complain about auto model selection forcing Grok over their preferred Composer 2.5. Analysis of AI coding tool design flaws and user retention impact.

Facing GPU cluster resources as an AI beginner? This guide covers project ideas from AI safety to model evaluation to RAG optimization, helping students effectively leverage compute resources.

Learn how to build a multimodal RAG application with NVIDIA Nemotron 3 Nano Omni, covering Modal cloud deployment, Gradio frontend, and document retrieval Q&A workflows.

Deep dive into laser energy deposition drag reduction: using high-energy lasers to create low-density plasma channels ahead of hypersonic vehicles, significantly reducing aerodynamic drag and exploring military and aerospace applications.

Google is transforming from AI race laggard to leader with Gemini, custom TPU chips, and full-stack ecosystem advantages. Analysis of the Google-OpenAI-Anthropic competitive dynamics.

Scientists are developing bioengineered chewing gum that targets cancer-linked oral pathogens for cancer prevention. Explore the mechanisms, delivery technology, and public health implications.

How Channels SDK solves AI Agent channel distribution through a unified middleware abstraction layer, enabling one-time development with multi-channel deployment to Slack, Teams, and beyond.

Explore how AI image style transfer blends Ghibli animation aesthetics, Avatar's fantastical creatures, and real cityscapes, analyzing diffusion model technology, creative democratization, and copyright debates.

Deep dive into Google Guava's core features including immutable collections, Multimap, CacheBuilder local caching, ListenableFuture concurrency tools, and more to boost Java development efficiency.

The linus-torvalds-skill project distills Linus Torvalds's code review style from 32,000 kernel mailing list emails into an AI Agent-callable skill, with open pipeline and multi-model experiments.

Exploring how the Spring Framework addresses 19 years of technical debt, examining the costs of backward compatibility in API design and lessons for long-term software engineering decisions.

Enterprise GPU clusters average under 30% utilization with massive reserved resource waste. This article analyzes root causes like zombie Notebooks and missing attribution, offering practical solutions including resource tagging, idle timeout reclamation, and elastic scheduling.