AI Tools & Frameworks Directory

Veteran laboratory operations leader brings deep expertise scaling high-complexity CLIA/CAP environments and multiomic platforms to support FYR’s EV-Omics growth across neuroscience and oncology FYR Bio (“FYR”), a biotechnology company leveraging extracellular vesicles (EVs) to deliver AI-enabled mu...

The Company’s Outcomes-First Approach Drove 13 Enterprise Deals in 100 Days as Financial Pressures Intensify for Providers Arintra, the leading GenAI-native autonomous medical coding platform for healthcare organizations, today announced it finished 2025 with eight times year-over-year revenue growt...

Silicon Valley has always had its headline makers. Startups launch, scale, and sometimes vanish overnight. But behind the scenes, there is a different kind of company quietly powering the entire ecosystem...

Adani's plan targets up to 5 gigawatts of capacity, with data centers planned alongside partnerships with Google, Microsoft, and Flipkart.

Under the partnership, Infosys plans to integrate Anthropic's Claude models into its Topaz AI platform to build so-called "agentic" systems.

Over the past six months, I’ve watched the same pattern repeat across enterprise AI teams. A2A and ACP light up the room during architecture reviews—the protocols are elegant, the demos impressive. Three weeks into production, someone asks: “Wait, which agent authorized that $50,000 vendor payment a...

A new AI agent service that helps businesses move beyond AI experimentation, achieve measurable, real‑world impact, and drive efficiency. As manufacturers and distributors move beyond AI experimentation, Aptean, a global leader in AI-powered, industry-specific enterprise software, is introducing Apt...

Cohere's Tiny Aya models support over 70 langauges

Leading aseptic packaging company will implement Blue Yonder Network to drive greater agility, efficiency and cost savings Global supply chains are becoming increasingly complex, driving companies to adopt intelligent, autonomous solutions that can anticipate, analyze and rapidly resolve issues acro...

PwC Hong Kong (PwC) and watchTowr, a global leader in Preemptive Exposure Management, today announced the expansion of their partnership. PwC will continue to deliver the watchTowr Platform as part of its Managed Security Service (MSS) offering, helping organizations continuously validate real expos...

Bring IT, a global cloud ERP consulting, implementation, and integration leader, announced today that it has been named the 2026 Partner of the Year by Celigo, a leading enterprise integration platform-as-a-service (iPaaS) provider. Celigo‘s Partner of the Year recognition is awarded to partners tha...

Through its AI builder approach and proprietary capabilities built on Google Cloud, Cognizant is enabling enterprises to translate AI strategy into deployed, governed systems at scale. Cognizant (NASDAQ: CTSH) announced a new phase in its strategic partnership with Google Cloud, advancing from platf...

Building AI agents is the new gold rush. But every developer knows the biggest bottleneck: getting the AI to actually communicate to your data. Today, travel giant Agoda is tackling this problem head-on. They have officially launched APIAgent, an open-source tool designed to turn any REST or GraphQL...

Latest Graphwise offering bridges the gap between complex enterprise data and functional AI agents, using ontologies reduces inaccurate answers 2X in benchmarks Graphwise, the leading Graph AI provider, today announced the immediate availability of GraphRAG, a low-code AI-workflow engine designed to...

Demoboost raises €2.8M to turn product demos into revenue intelligence Demoboost, the platform enabling B2B software companies to deliver scalable, data-rich product demos, has raised €2.8 million in funding to accelerate product development and expand its global presence. The round was co-led by Di...

arXiv:2602.13264v1 Announce Type: new Abstract: In the critical task of making generative models trustworthy and robust, methods for Uncertainty Quantification (UQ) have begun to show encouraging potential. However, many of these methods rely on rigid heuristics that fail to generalize across tasks...

arXiv:2602.13345v1 Announce Type: new Abstract: Decades of engineering drawings and technical records remain locked in legacy archives with inconsistent or missing metadata, making retrieval difficult and often manual. We present Blueprint, a layout-aware multimodal retrieval system designed for la...

arXiv:2602.13348v1 Announce Type: new Abstract: Small datasets like MNIST have historically been instrumental in advancing machine learning research by providing a controlled environment for rapid experimentation and model evaluation. However, their simplicity often limits their utility for disting...

arXiv:2602.13359v1 Announce Type: new Abstract: Machine learning models excel with abundant annotated data, but annotation is often costly and time-intensive. Active learning (AL) aims to improve the performance-to-annotation ratio by using query methods (QMs) to iteratively select the most informa...

arXiv:2602.13398v1 Announce Type: new Abstract: Designing cryoprotectant agent (CPA) cocktails for vitrification is challenging because formulations must be concentrated enough to suppress ice formation yet non-toxic enough to preserve cell viability. This tradeoff creates a large, multi-objective ...

arXiv:2602.13213v1 Announce Type: new Abstract: Commercial insurance underwriting is a labor-intensive process that requires manual review of extensive documentation to assess risk and determine policy pricing. While AI offers substantial efficiency improvements, existing solutions lack comprehensi...

arXiv:2602.13214v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly deployed in interactive environments requiring strategic decision-making, yet systematic evaluation of these capabilities remains challenging. Existing benchmarks for LLMs primarily assess static reasoning...

arXiv:2602.13215v1 Announce Type: new Abstract: Transformers allocate uniform computation to every position, regardless of difficulty. State Space Models (SSMs) offer efficient alternatives but struggle with precise information retrieval over a long horizon. Inspired by dual-process theories of cog...

arXiv:2602.13217v1 Announce Type: new Abstract: The main issue with most evaluation schemes today is their "static" nature: the same problems are reused repeatedly, allowing for memorization, format exploitation, and eventual saturation. To measure genuine AI progress, we need evaluation that is ro...