AI Tools & Frameworks Directory

Safety evaluation of multimodal foundation models often treats vision and language inputs separately, missing risks from joint interpretation where benign content becomes harmful in combination. Existing approaches also fail to distinguish clearly unsafe content from borderline cases, leading to pro...

TRUSTBANK partnered with Recursive to build Choice AI using OpenAI models, delivering personalized, conversational recommendations that simplify Furusato Nozei gift discovery. A multi-agent system helps donors navigate thousands of options and find gifts that match their preferences.

The YouTubers claim Snap, like others, used AI datasets meant for research and academic use to train its AI models.

Industrial AI startup CVector built a brain and nervous system for big industry. Now, founders Richard Zhang and Tyler Ruggles are tasked with a bigger challenge: showing customers and investors how this AI-powered software layer translates to real savings on an industrial scale.  The New York-based...

The AI Evolution of Graph Search at Netflix: From Structured Queries to Natural LanguageBy Alex Hutter and Bartosz BalukiewiczOur previous blog posts (part 1, part 2, part 3) detailed how Netflix’s Graph Search platform addresses the challenges of searching across federated data sets within Netflix’...

Claude users will now be able to call up interactive apps inside the chatbot interface, with Cowork integration coming soon.

This crash course will take you from a complete beginner to a confident ComfyUI user, walking you through every essential concept, feature, and practical example you need to master this powerful tool.

Exploring the RAG pipeline in Cursor that powers code indexing and retrieval for coding agents The post How Cursor Actually Indexes Your Codebase appeared first on Towards Data Science.

The post Introducing Maia 200: The AI accelerator built for inference appeared first on Source.

Microsoft has announced the launch of its latest chip, the Maia 200, which the company describes as a silicon workhorse designed for scaling AI inference. The 200, which follows the company’s Maia 100 released in 2023, has been technically outfitted to run powerful AI models at faster speeds and wit...

CoreWeave will also integrate Nvidia's products across its platform, including the new Rubin chip architecture.

For decades, predicting the weather has been the exclusive domain of massive government supercomputers running complex physics-based equations. NVIDIA has shattered that barrier with the release of the Earth-2 family of open models and tools for AI weather and climate prediction accessible to virtua...

At the American Meteorological Society’s Annual Meeting, NVIDIA today unveiled a new NVIDIA Earth-2 family of open models, libraries and frameworks for weather and climate AI, offering the world’s first fully open, production-ready weather AI software stack.

Nvidia announced three new AI weather tools today. Together, they promise to improve the accuracy of weather forecasts while also making them accessible to more users.

Explore NVIDIA GH200 Grace Hopper superchip—architecture, AI use cases, benchmarks, and a decision guide for large-scale LLMs, HPC, and enterprise AI.

The iOS development world has undergone a radical change. Only a few years back, implementing AI functionalities required costly cloud APIs or, at best, on-device processing with limited capabilities. The introduction of Apple’s Foundation Models framework heralds the availability of a 3 billion par...

British startup Synthesia, whose AI platform helps companies create interactive training videos, has raised a $200 million Series E round of funding that brings its valuation to $4 billion — up from $2.1 billion just a year ago.

arXiv:2601.16366v1 Announce Type: new Abstract: This paper provides a fresh view of the neural network (NN) data flow problem, i.e., identifying the NN connections that are most important for the performance of the full model, through the lens of graph theory. Understanding the NN data flow provide...

arXiv:2601.16280v1 Announce Type: new Abstract: Multi-agent systems powered by large language models (LLMs) are transforming enterprise automation, yet systematic evaluation methodologies for assessing tool-use reliability remain underdeveloped. We introduce a comprehensive diagnostic framework tha...

arXiv:2601.16286v1 Announce Type: new Abstract: Agentic AI pipelines suffer from a hidden inefficiency: they frequently reconstruct identical intermediate logic, such as metric normalization or chart scaffolding, even when the user's natural language phrasing is entirely novel. Conventional boundar...

arXiv:2601.16344v1 Announce Type: new Abstract: Data science agents promise to accelerate discovery and insight-generation by turning data into executable analyses and findings. Yet existing data science benchmarks fall short due to fragmented evaluation interfaces that make cross-benchmark compari...

arXiv:2601.16479v1 Announce Type: new Abstract: While Large Language Models (LLMs) demonstrate remarkable proficiency in semantic understanding, they often struggle to ensure structural consistency and reasoning reliability in complex decision-making tasks that demand rigorous logic. Although class...

arXiv:2601.16529v1 Announce Type: new Abstract: Large language models (LLMs) show promise in clinical decision support yet risk acquiescing to patient pressure for inappropriate care. We introduce SycoEval-EM, a multi-agent simulation framework evaluating LLM robustness through adversarial patient ...