AI Tools & Frameworks Directory

As enterprises race to operationalize AI across hybrid infrastructure, Itential provides the agentic operations platform that ensures every AI-driven action is orchestrated, governed, and auditable Itential, the leader in agentic operations for infrastructure, today announced it has been named to Fu...

First commercial deployment of APU in European cloud addresses surging AI demand, enabling EU enterprises to accelerate Apache Spark workloads while maintaining full control over data Speedata, developer of the world’s first purpose built Analytics Processing Unit (APU), today announced a strategic ...

New Page Builder Agent expands Seismic’s current lineup of AI agents, transforming how teams create, manage, and scale go-to-market efforts to win with confidence Seismic, the global leader in AI-powered enablement, today announced its Winter 2026 Product Release, introducing new capabilities design...

NVIDIA has just released Dynamo v0.9.0. This is the most significant infrastructure upgrade for the distributed inference framework to date. This update simplifies how large-scale models are deployed and managed. The release focuses on removing heavy dependencies and improving how GPUs handle multi-...

arXiv:2602.16735v1 Announce Type: new Abstract: This paper proposes a few-shot classification framework based on Large Language Models (LLMs) to predict whether the next day will have spikes in real-time electricity prices. The approach aggregates system state information, including electricity dem...

arXiv:2602.16740v1 Announce Type: new Abstract: In mechanistic interpretability, recent work scrutinizes transformer "circuits" - sparse, mono or multi layer sub computations, that may reflect human understandable functions. Yet, these network circuits are rarely acid-tested for their stability acr...

arXiv:2602.16742v1 Announce Type: new Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) has been shown effective in enhancing the visual reflection and reasoning capabilities of Large Multimodal Models (LMMs). However, existing datasets are predominantly derived from either small-scal...

arXiv:2602.16715v1 Announce Type: new Abstract: We explore the potential of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Graph-based RAG (GraphRAG) for generating Design Structure Matrices (DSMs). We test these methods on two distinct use cases -- a power screwdriver and ...

arXiv:2602.16716v1 Announce Type: new Abstract: Adaptive systems often operate across multiple contexts while reusing a fixed internal state space due to constraints on memory, representation, or physical resources. Such single-state reuse is ubiquitous in natural and artificial intelligence, yet i...

arXiv:2602.16727v1 Announce Type: new Abstract: Large-scale human mobility simulation is critical for applications such as urban planning, epidemiology, and transportation analysis. Recent works treat large language models (LLMs) as human agents to simulate realistic mobility behaviors using struct...

Gemini 3.1 Pro promises a Google LLM capable of handling more complex forms of work.

Nvidia is working with investors, nonprofits, and venture firms to build earlier ties with India's fast-growing AI founder ecosystem.

Just 3 months after the release of their state-of-the-art model Gemini 3 Pro, Google DeepMind is here with its latest iteration: Gemini 3.1 Pro. A radical upgrade in terms of capabilities and safety, Gemini 3.1 Pro model strives to be accessible and operable by all. Regardless of your preference, pl...

Google has officially shifted the Gemini era into high gear with the release of Gemini 3.1 Pro, the first version update in the Gemini 3 series. This release is not just a minor patch; it is a targeted strike at the ‘agentic’ AI market, focusing on reasoning stability, software engineering, and tool...

AI can write the code, but you have to steer the ship. Master the knowledge to keep you relevant in the age of AI. The post The Missing Curriculum: Essential Concepts For Data Scientists in the Age of AI Coding Agents appeared first on Towards Data Science.

In this tutorial, we build a production-ready agentic workflow that prioritizes reliability over best-effort generation by enforcing strict, typed outputs at every step. We use PydanticAI to define clear response schemas, wire in tools via dependency injection, and ensure the agent can safely intera...

A new method developed at MIT could root out vulnerabilities and improve LLM safety and performance.

247 Labs, a premier Canadian custom software and AI development firm, today announced its successful achievement of both ISO 9001:2015 and ISO/IEC 27001:2022 certifications. This significant milestone reinforces the company’s deep commitment to providing the highest standards of quality management a...

New Analyst Studio capabilities—including SpotCache and agent-augmented data modeling—transform how data teams profile, mash up, and secure data for the next generation of AI workloads ThoughtSpot, the Agentic Analytics Platform company, today announced the launch of the next generation of Analyst S...

Operational AI gains momentum as health systems deploy Luma’s platform to run operations end to end Health systems face labor shortages, fragmented workflows, and rising patient demand—challenges incremental automation has not solved. Luma Health shared new momentum from its Operational AI platform ...

Learn how to build MCP servers and clients using FastMCP, which is comprehensive, complete with error handling, best practices, and deployment strategies, making it ideal for both beginners and intermediate developers.

3.1 Pro is designed for tasks where a simple answer isn’t enough.

AI-enabled deception now permeates our online lives. There are the high-profile cases you may easily spot, like when White House officials recently shared a manipulated image of a protester in Minnesota and then mocked those asking about it. Other times, it slips quietly into social media feeds and ...