Results for "ai framework".

Constraints That Compute: A Unified Framework for Efficient Intelligence

This paper introduces a domain-agnostic framework that replaces brute-force computation with structural efficiency by translating systems into their intrinsic, dimensionless geometries. Validated acro…

TypeScript framework for building non-blocking AI agents

Mozaik is a TypeScript framework for building non-blocking AI agents. - jigjoy-ai/mozaik…

The TypeScript AI Framework – Mastra

An open-source TypeScript & JavaScript framework for building, testing and deploying AI agents and applications with ease, from idea to production.…

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…

UGAF-ITS: A Standards Harmonization Framework and Validation Tool for Multi-Framework AI Governance in Distributed Intelligent Transportation Systems

Organizations deploying AI-enabled Intelligent Transportation Systems face fragmented governance: ISO/IEC 42001 demands a certifiable management system, the EU AI Act imposes binding high-risk obligat…

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…

Arietta: A framework for creating local AI voice assistants w. knowledge, tools

A local-first framework for building customizable AI powered voice assistants on Apple Silicon Macs with local speech, knowledge & tools. - robert-mcdermott/arietta-voice…

GAMED.AI: A Hierarchical Multi-Agent Framework for Automated Educational Game Generation

We introduce GameDAI, a hierarchical multi-agent framework that transforms instructor-provided questions into fully playable, pedagogically grounded educational games validated through formal mechanic…

AgentPulse: A Continuous Multi-Signal Framework for Evaluating AI Agents in Deployment

Static benchmarks measure what AI agents can do at a fixed point in time but not how they are adopted, maintained, or experienced in deployment. We introduce AgentPulse, a continuous evaluation framew…

I have python framework django domain, tell me what you need on that website

I bought djangoproject.in domain two years back hoping to create something helpful for people, but due job loss and current AI uncertinity still im very much uncertain what to do with it. AS community…

A Licensure Framework for Autonomous Clinical AI

My Story of Building a TypeScript Framework for Event-Driven AI Agents

While working on agentic systems my co-founder early on detected the core limitation of agentic...…

I stopped asking AI for answers and started asking for frameworks — and suddenly it all clicked

I’ve been using tools like ChatGPT, Gemini and Claude every day — but this one shift made them far more useful…

Show HN: Agent-recall-AI – Auto-save for AI agents that die mid-task

Your AI agent never starts over again. Framework-agnostic session checkpointing - survive context limits, cost overruns, and session death. - srinathsankara/agent-recall-ai…

Apple researchers built an AI that tests several ideas in parallel before answering

A team of Apple researchers details a creative framework that improves LLM answers in math reasoning, code generation, and more.…

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…

Specification-Driven Development framework for agent-native development

SpecDD is a Specification-Driven Development framework that enables humans and AI agents to build better software…

Opinion: MacBook Pro M3 Is Overpriced for Developers in 2026—Use Framework Laptop 16

In Q1 2026, the base M3 Max MacBook Pro retails for $3,499—$1,800 more than a fully specced Framework...…

Enabling privacy-preserving AI training on everyday devices

MIT researchers developed a technique that accelerates a privacy-preserving approach for training AI models on edge devices. Their new framework could enable more accurate, efficient, and secure AI mo…

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…

A General Framework for Generative Self-supervised Learning in Non-invasive Estimation of Physiological Parameters Using Photoplethysmography

Aligning physiological parameter labels with large-scale photoplethysmographic (PPG) data for deep learning is challenging and resource-intensive. While self-supervised representation learning (SSRL) …

FreqFormer: Hierarchical Frequency-Domain Attention with Adaptive Spectral Routing for Long-Sequence Video Diffusion Transformers

Long-sequence video diffusion transformers hit a quadratic self-attention cost that dominates runtime and memory for very long token sequences. Most efficient attention methods use one approximation e…

PivotMerge: Bridging Heterogeneous Multimodal Pre-training via Post-Alignment Model Merging

Multimodal Large Language Models (MLLMs) rely on multimodal pre-training over diverse data sources, where different datasets often induce complementary cross-modal alignment capabilities. Model mergin…

SwarmDrive: Semantic V2V Coordination for Latency-Constrained Cooperative Autonomous Driving

Cloud-hosted LLM inference for autonomous driving adds round-trip delay and depends on stable connectivity, while purely local edge models struggle under occlusion. We present SwarmDrive, a semantic V…

MAE-Based Self-Supervised Pretraining for Data-Efficient Medical Image Segmentation Using nnFormer

Transformer architectures, including nnFormer,have demonstrated promising results in volumetric medical image segmentation by being able to capture long-range spatial interactions. Although they have …

Framework 16 Gets Nvidia RTX 5070 12 GB Upgrade Module for Eyewatering Price

Framework, known for its repairable and upgradeable gaming and productivity laptops, has officially released a Laptop 16 graphics upgrade module with the new NVIDIA GeForce RTX 5070 12 GB. Framework's…

AI prefers resumes written by itself: Self-preferencing in Algorithmic Hiring

As artificial intelligence (AI) tools become widely adopted, large language models (LLMs) are increasingly involved on both sides of decision-making processes, ranging from hiring to content moderatio…

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…

PhySE: A Psychological Framework for Real-Time AR-LLM Social Engineering Attacks

The emerging threat of AR-LLM-based Social Engineering (AR-LLM-SE) attacks (e.g. SEAR) poses a significant risk to real-world social interactions. In such an attack, a malicious actor uses Augmented R…

CAP-CoT: Cycle Adversarial Prompt for Improving Chain of Thoughts in LLM Reasoning

Chain-of-Thought (CoT) prompting has emerged as a simple and effective way to elicit step-by-step solutions from large language models (LLMs). However, CoT reasoning can be unstable across runs on lon…