AI Tools & Frameworks Directory

Alibaba’s Qwen lineup has evolved rapidly over the past few weeks. We recently saw Qwen3-Coder-Next targeting developers with an AI coding assistant. This was followed by Qwen Image 2.0, which pushed the platform’s image generation quality even further. Each release strengthened a specific capabilit...

This article gently introduces feature stores, describing their origins, main characteristics, reasons for their current significance, and popular tools at present.

The NVIDIA Blackwell platform has been widely adopted by leading inference providers such as Baseten, DeepInfra, Fireworks AI and Together AI to reduce cost per token by up to 10x. Now, the NVIDIA Blackwell Ultra platform is taking this momentum further for agentic AI. AI agents and coding assistant...

Designed for mission-critical field operations, the joint solution combines autonomous and assisted AI with Vonage communications and network APIs for those working beyond the enterprise edge Vonage, part of Ericsson (NASDAQ: ERIC), today announced a strategic collaboration with C3 AI (NYSE: AI), a ...

Build your own private AI hub with Docker, Ollama, and n8n. A beginner's guide to self-hosted, local automation with no cloud fees.

Fast providers offering open source LLMs are breaking past previous speed limits, delivering low latency and strong performance that make them suitable for real time interaction, long running coding tasks, and production SaaS applications.

An enterprise-ready AMD MI355X guide covering AI inference, LLM training, memory scaling, performance trade-offs, and deployment strategies.

Why insanely fast GPUs still can’t make LLMs feel instant The post The Strangest Bottleneck in Modern LLMs appeared first on Towards Data Science.

Powerful AI now runs on consumer hardware.

Power grid and other critical utilities to benefit from authID’s biometric platform authID (Nasdaq: AUID), authID, a leader in biometric identity, today announced the availability of its biometric security solution aligned with the Personal Identity Verification (PIV) security framework for energy i...

Tavus, the human computing company building lifelike AI humans that can see, hear, and respond in real time, launched Raven-1 into GA today, a multimodal perception system that enables AI to understand emotion, intent, and context the way humans do. Raven-1 captures and interprets audio and visual s...

Enabling rapid, robot-agnostic integration of VISIE’s spatial computing platform VISIE Inc. today announced the availability of its partner application programming interfaces (APIs), marking a significant milestone in the company’s commercial and integration readiness. The APIs enable surgical robot...

New capital will accelerate deployment of AI agents that autonomously execute procurement work for global manufacturers and distributors  Didero, a New York–based software company using AI agents to automate enterprise procurement, today announced a $30 million Series A financing round co-led by Che...

Form.io, the leading enterprise platform for API-first forms and data management, has announced the appointment of Jeff Hadfield as Director of Business Development. In this role, Hadfield will lead growth initiatives, expand partner relationships, and drive new enterprise opportunities as Form.io c...

Ambience Healthcare, the leading AI platform for clinical documentation and revenue integrity, today announced expanded “chart awareness” across its capabilities. Chart awareness enables AI to interpret a patient’s full longitudinal record, including prior notes, diagnoses, labs, imaging, medication...

The First Revenue Network Where Autonomous AI Agents Negotiate, Execute, and Earn — While Human Users Capture Ongoing Revenue  Consensus Hong Kong — Virtuals Protocol, which powers the world’s largest AI agent economy with over 18,000 agents, today announced the launch of Virtuals Revenue Network, a...

The AI industry is currently obsessed with ‘agents’—autonomous programs that do more than just chat. However, most current multi-agent systems rely on brittle, hard-coded heuristics that fail when the environment changes. Google DeepMind researchers have proposed a new solution. The research team ar...

In this tutorial, we build a fully stateful personal tutor agent that moves beyond short-lived chat interactions and learns continuously over time. We design the system to persist user preferences, track weak learning areas, and selectively recall only relevant past context when responding. By combi...

arXiv:2602.12305v1 Announce Type: new Abstract: Generating high-performance CUDA kernels remains challenging due to the need to navigate a combinatorial space of low-level transformations under noisy and expensive hardware feedback. Although large language models can synthesize functionally correct...

arXiv:2602.12318v1 Announce Type: new Abstract: We want language model assistants to conform to a character specification, which asserts how the model should act across diverse user interactions. While models typically follow these character specifications, they can occasionally violate them in lar...

arXiv:2602.12323v1 Announce Type: new Abstract: The widespread availability of fine-tuned LoRA modules for open pre-trained models has led to an interest in methods that can adaptively merge LoRAs to improve performance. These methods typically include some way of selecting LoRAs from a pool and tu...

arXiv:2602.12342v1 Announce Type: new Abstract: How can we train agents to navigate uncertainty over long horizons? In this work, we propose {\Delta}Belief-RL, which leverages a language model's own intrinsic beliefs to reward intermediate progress. Our method utilizes the change in the probability...

arXiv:2602.12316v1 Announce Type: new Abstract: Frontier AI systems are increasingly capable and deployed in high-stakes multi-agent environments. However, existing AI safety benchmarks largely evaluate single agents, leaving multi-agent risks such as coordination failure and conflict poorly unders...

arXiv:2602.12356v1 Announce Type: new Abstract: Benchmarking has long served as a foundational practice in machine learning and, increasingly, in modern AI systems such as large language models, where shared tasks, metrics, and leaderboards offer a common basis for measuring progress and comparing ...