30 results for "architecture"
The Automation Paradox: You Cannot Prompt Your Way Out of an Architecture Problem
The Automation Paradox: You Cannot Prompt Your Way Out of an Architecture Problem ...…
Nvidia launches Nemotron 3 Nano Omni, an open multimodal model with a 30B-A3B hybrid MoE architecture; the Nemotron 3 family saw 50M+ downloads in the past year (Kyt Dotson/SiliconANGLE)
Kyt Dotson / SiliconANGLE : Nvidia launches Nemotron 3 Nano Omni, an open multimodal model with a 30B-A3B hybrid MoE architecture; the Nemotron 3 family saw 50M+ downloads in the past year — Nvidia Co…
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…
What Has Gone Wrong With Architecture
We need less specialization and more big-picture thinking in architecture, writes Arthur Kay.…
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…
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…
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…
Looking for a middle ground between hexagonal architecture and transaction scripts
How do you verify your cloud actually matches your architecture design?
Status-Logic is not enough. You need the "Counter-Extraction" Architecture to reclaim focus.
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…
The blueprint architecture for securing the AI data center
AI data center security cannot be an afterthought.…
How I built a privacy-first AI medical tool in a single HTML file — architecture breakdown
The Best Laravel SaaS Architecture: Scalable Structure for Real-World Projects
When you start building a SaaS product, Laravel feels like the perfect choice—fast, expressive, and...…
OpenAI and the New Cognitive Architecture of Software Repositories
TL;DR OpenAI's latest harness engineering report suggests something deeper than "agents...…
Cell-Based Architecture: o por que estamos sempre tentando mitigar riscos e falhas
Escalar microserviços horizontalmente resolve capacidade. Mas não ...…
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…
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, …
Rebuilding the Data Stack for AI
Enterprise AI hinges on high-accuracy outputs, requiring better data context, unified architectures, and rigorous measurement frameworks, says Bavesh Patel, senior vice president at Databricks, and Ra…
OpenGame: Open Agentic Coding for Games
Game development sits at the intersection of creative design and intricate software engineering, demanding the joint orchestration of game engines, real-time loops, and tightly coupled state across ma…
MiniMax M2.5 API Guide: 80% SWE-Bench at $0.15/M Tokens
MiniMax M2.5 matches Claude Opus on SWE-Bench at a fraction of the cost. Architecture breakdown, benchmark replay, and full API setup guide for 2026.…
Learning to Rotate: Temporal and Semantic Rotary Encoding for Sequential Modeling
Every Transformer architecture dedicates enormous capacity to learning rich representations in semantic embedding space -- yet the rotation manifold acted upon by Rotary Positional Embeddings (RoPE) h…
Cloudless-Training: A Framework to Improve Efficiency of Geo-Distributed ML Training
Geo-distributed ML training can benefit many emerging ML scenarios (e.g., large model training, federated learning) with multi-regional cloud resources and wide area network. However, its efficiency i…
RADIANT-LLM: an Agentic Retrieval Augmented Generation Framework for Reliable Decision Support in Safety-Critical Nuclear Engineering
Reliable decision support in nuclear engineering requires traceable, domain-grounded knowledge retrieval, yet safety and risk analysis workflows remain hampered by fragmented documentation and halluci…
Behavioral Intelligence Platforms: From Event Streams to Autonomous Insight via Probabilistic Journey Graphs, Behavioral Knowledge Extraction, and Grounded Language Generation
Contemporary product analytics systems require users to pose explicit queries, such as writing SQL, configuring dashboards, or constructing funnels, before insights can surface. This pull-based paradi…
The Randomness Floor: Measuring Intrinsic Non-Randomness in Language Model Token Distributions
Language models cannot be random. This paper introduces Entropic Deviation (ED), the normalised KL divergence between a model's token distribution and the uniform distribution, and measures it systema…
RCSB PDB AI Help Desk: retrieval-augmented generation for protein structure deposition support
Motivation: Structural Biologists have contributed more than 245,000 experimentally determined three-dimensional structures of biological macromolecules to the Protein Data Bank (PDB). Incoming data a…