30 results for "ai architecture"
China's National Supercomputing Center in Shenzhen unveils the Lingshen project, aiming for 2+ exaFLOPS performance using a domestic-made CPU-only architecture (Luke James/Tom's Hardware)
Luke James / Tom's Hardware : China's National Supercomputing Center in Shenzhen unveils the Lingshen project, aiming for 2+ exaFLOPS performance using a domestic-made CPU-only architecture — Good luc…
Behind the Scenes of a Self-Evolving AI: The Architecture of Tian AI
Deep dive into Tian AI's architecture — three-layer thinking engine, 34GB SQLite knowledge base, self-modification system, and evolution engine.…
Structural Enforcement of Goal Integrity in AI Agents via Separation-of-Powers Architecture
Recent evidence suggests that frontier AI systems can exhibit agentic misalignment, generating and executing harmful actions derived from internally constructed goals, even without explicit user reque…
ZenBrain: A Neuroscience-Inspired 7-Layer Memory Architecture for Autonomous AI Systems
Despite a century of empirical memory research, existing AI agent memory systems rely on system-engineering metaphors (virtual-memory paging, flat LLM storage, Zettelkasten notes), none integrating pr…
Building a self-healing AI agent: How we use a Two-Tier architecture to keep user data private.
Hey everyone, we just launched our iOS AI Agent out of a 1k-user beta, and I wanted to share the architecture-specifically how we handle the privacy vs. utility tradeoff. We wanted an agent that could…
The blueprint architecture for securing the AI data center
AI data center security cannot be an afterthought.…
OpenAI and the New Cognitive Architecture of Software Repositories
TL;DR OpenAI's latest harness engineering report suggests something deeper than "agents...…
Status-Logic is not enough. You need the "Counter-Extraction" Architecture to reclaim focus.
How I built a privacy-first AI medical tool in a single HTML file — architecture breakdown
Skymizer Taiwan Inc. Unveils Breakthrough Architecture Enabling Ultra-Large LLM Inference on a Single Card
Source Article excerpt: With a single PCIe card — powered by six HTX301 chips and 384 GB of memory — enterprises can now run 700B-parameter model inference locally at just ~240W per card. The memory-b…
Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs
NVIDIA's CUDA Tile (CuTile) introduces a Python-based, tile-centric abstraction for GPU kernel development that aims to simplify programming while retaining Tensor Core and Tensor Memory Accelerator (…
The Controllability Trap: A Governance Framework for Military AI Agents
Agentic AI systems - capable of goal interpretation, world modeling, planning, tool use, long-horizon operation, and autonomous coordination - introduce distinct control failures not addressed by exis…
Claude MCP Explained: Building Enterprise AI Integrations That Actually Scale
What the Model Context Protocol actually is, why it changes enterprise AI architecture and how to...…
An Intelligent Fault Diagnosis Method for General Aviation Aircraft Based on Multi-Fidelity Digital Twin and FMEA Knowledge Enhancement
Fault diagnosis of general aviation aircraft faces challenges including scarce real fault data, diverse fault types, and weak fault signatures. This paper proposes an intelligent fault diagnosis frame…
MetaGAI: A Large-Scale and High-Quality Benchmark for Generative AI Model and Data Card Generation
The rapid proliferation of Generative AI necessitates rigorous documentation standards for transparency and governance. However, manual creation of Model and Data Cards is not scalable, while automate…
Thinking Like a Clinician: A Cognitive AI Agent for Clinical Diagnosis via Panoramic Profiling and Adversarial Debate
The application of large language models (LLMs) in clinical decision support faces significant challenges of "tunnel vision" and diagnostic hallucinations present in their processing unstructured elec…
Vibe Medicine: Redefining Biomedical Research Through Human-AI Co-Work
With the emergence of large language models (LLMs) and AI agent frameworks, the human-AI co-work paradigm known as Vibe Coding is changing how people code, making it more accessible and productive. In…
Modeling Induced Pleasure through Cognitive Appraisal Prediction via Multimodal Fusion
Multimodal affective computing analyzes user-generated social media content to predict emotional states. However, a critical gap remains in understanding how visual content shapes cognitive interpreta…
FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment
In recent years, the integration of multimodal machine learning in wellbeing assessment has offered transformative potential for monitoring mental health. However, with the rapid advancement of Vision…
Right-to-Act: A Pre-Execution Non-Compensatory Decision Protocol for AI Systems
Current AI systems increasingly operate in contexts where their outputs directly trigger real-world actions. Most existing approaches to AI safety, risk management, and governance focus on post-hoc va…
Interoceptive machine framework: Toward interoception-inspired regulatory architectures in artificial intelligence
This review proposes an integrative framework grounded on interoception and embodied AI-termed the interoceptive machine framework-that translates biologically inspired principles of internal-state re…
FastOMOP: A Foundational Architecture for Reliable Agentic Real-World Evidence Generation on OMOP CDM data
The Observational Medical Outcomes Partnership Common Data Model (OMOP CDM), maintained by the Observational Health Data Sciences and Informatics (OHDSI) collaboration, enabled the harmonisation of el…
Decoupled DiLoCo: Resilient, Distributed AI Training at Scale
Google’s new distributed architecture keeps AI training runs on track across distant data centers, with exceptional efficiency – even when hardware fails.…
Day 21: Affiliate Marketing System - AI System Design in Seconds
Affiliate Marketing System Architecture Building a scalable affiliate marketing...…
Claude Leak Confirms It: LLM Systems Are Architecture, Not Prompts (Orca)
Agents should execute whenever possible — runtime for composable AI agent skills - gfernandf/agent-skills…
Prompt–Response AI is a local maximum. The next paradigm looks nothing like it
A new tension-driven cognitive architecture for machines that pursues knowledge rather than respond to it.…
Why the VLA architecture is the real bottleneck keeping robots out of your home, and what a unified model might change
I've been following embodied intelligence research for a few years now, and something clicked for me recently about why we keep seeing incredible lab demos of robots folding laundry or making coffee, …
Multi-Agent AI Systems Are Eating Single Agents
Single-agent architectures hit a wall the moment your task needs planning, research, and execution in parallel. Multi-agent systems solve this — but most tutorials skip the hard parts. This guide does…
Disaggregated Serving for Hybrid SSM Models in vLLM
Hybrid architectures that interleave Mamba-style SSM layers with standard full-attention (FA) layers — such as NVIDIA Nemotron-H — are gaining traction as a way…
A city so tall you could almost touch the moons
Created in ChatGPT and NightCafe with GPT1.5 Medium & Clarity. Open prompt. A solitary construction worker stands amidst a colossal, half-finished futuristic city. Gears and circuitry weave through th…