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OpenAI is getting serious about courting enterprise users. On Tuesday, the AI lab released a new set of capabilities for Codex, meant to expand the agentic tool’s uses in the workplace. Together with the new tools, the company released an internal report on how Codex is being used for knowledge work, finding its uses go […]


Engineering physical systems still depends on human talent, according to Impulse Space president Eric Romo.

YPlasma, the only company commercializing solid-state cooling based on dielectric barrier discharge (DBD) plasma actuators, today announced at COMPUTEX 2026 in Taipei the successful integration and testing of a DBD plasma cooling module on the NVIDIA Jetson Orin Nano platform. The Jetson cooling solution removes the rotary fan entirely and replaces it with a 200 micrometer flexible actuator film, 40 to 60 times thinner than the 8 to 12 mm micro-fans it replaces, that generates ionic wind to cool

AI is proving to be a formidable opportunity for the e-commerce leader.

The rapidly evolving landscape of Cloud AI has highlighted a significant challenge as the pace of AI technology advancements outstrips customers' ability to adopt them. According to Instruqt's 2026 State of Developer Adoption Report, conducted by SlashData, many software companies face operational hurdles, including team misalignment and maintaining content accuracy amid frequent product updates. This gap in adoption is being addressed through innovative hands-on labs, which have proven...

AI infrastructure demand lifts STMicro's data center outlook.
submitted by /u/Useful_Tangerine4340 [link] [comments]

With economic uncertainty, AI anxiety, and a brutal job market weighing on workers, Amazon founder Jeff Bezos has a counterintuitive theory on stress: and the answer is not your workload, it's your inaction.
Travelers built an AI-powered Claim Assistant with OpenAI to guide customers through filing claims, provide 24/7 support, and scale operations during peak demand.

Moscow warned last week that it intended to launch "systematic strikes" on targets in Kyiv and urged foreign nationals to leave.

The first to tap the U.S. market's unparalleled depth and liquidity will likely gain an immediate advantage regarding chips, data centers and talent.

The race to make the smartest possible AI that can do the most things will "lead to things that aren't nice beings towards us," Geofrey Hinton said.

Some report burning through their whole monthly "AI credit" allotment in a single day.

As two AI giants hurtle towards IPOs, Anthropic is showing early momentum.

In this post, we walk through how to use Amazon Quick Research to integrate biomedical data sources for rare cancer research. The walkthrough uses pediatric sarcoma as the research domain and draws on publicly available datasets from PubMed and other open biomedical repositories. It covers the end-to-end workflow: defining a research objective, configuring data sources, reviewing the AI-generated research plan, running the investigation, and iterating on results using the revision and versioning system.
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Agentic AI is moving rapidly from the developer terminal to the corporate world. On Tuesday, OpenAI announced a major update of its agentic AI platform Codex, introducing domain-specific workflows, a rapid, semi-private web hosting feature within it for enterprises called "Sites," and an in-place editing tool named "Annotations". The release marks a deliberate strategy to transform Codex from a specialized programming assistant into an everyday operating environment for business professionals. Non-developers—including financial analysts, marketers, operators, and researchers—now constitute approximately 20% of the platform’s 5 million weekly users and are adopting the technology three times faster than traditional engineers, according to research shared by OpenAI with VentureBeat and other outlets. OpenAI is capitalizing on this shift to position Codex as the premier application for white-collar task automation. The timing of the announcement is highly strategic, arriving precisely a
Your ROS robot can now look for physical items in your space using Nvidia's NemoClaw or OpenClaw, Claude, or Google Gemini. Try it: https://github.com/agenticros/agenticros-skill-find submitted by /u/Chemical-Hunter-5479 [link] [comments]
Hey everyone, If you are deploying open-source models, you know the biggest headache is figuring out exact hardware requirements. You usually end up digging through Reddit threads to find out if a specific model fits on a single A10G, if you can squeeze it onto consumer cards, or if you have to jump up to a massive bare metal A100 cluster. Most of the "guides" out there are just static, out-of-date tables or dense walls of text. So, we published "Which GPU Runs Which LLM" on the AgentSwarms blog, but we engineered it completely differently. What makes this different: It is 100% interactive and gamified. Instead of reading a textbook on VRAM math, you actively engage with the hardware logic right on the page. You select the model size (8B, 32B, 70B, etc.). You tweak the quantization (FP16, 8-bit, 4-bit, GGUF vs AWQ). The interactive deck instantly calculates the VRAM constraints and visually maps out the exact GPU tiers you need to deploy. It gamifies the infrastructure plan

Zip, the AI procurement platform valued at $2.2 billion, announced two products on Monday that mark a turning point in its evolution from procurement software to autonomous AI platform: a suite of five AI "Superagents" that can review contracts, code invoices, and negotiate with vendors inside Zip's governance framework, and a procurement-native implementation of the Model Context Protocol (MCP) that pipes Zip's data directly into AI assistants like Claude and ChatGPT — without sacrificing audit trails or compliance controls. The announcements, unveiled at Zip's AI Summit in New York with speakers from Anthropic, OpenAI, Datadog, and Humana, arrive at a moment when the procurement technology sector has become one of the fiercest battlegrounds in enterprise AI. SAP unveiled its "Autonomous Enterprise" vision at Sapphire 2026 just weeks ago, introducing more than 50 domain-specific Joule Assistants across finance, supply chain, and procurement. Coupa launched its own Compose platform and

Enterprise AI agents have a new production failure mode, and it is not the model. As enterprises move from single-layer RAG to hybrid retrieval architectures, the same underlying data produces different answers depending on which agent, tool or system asks the question. Revenue means one thing in a business intelligence (BI) dashboard, something slightly different in a SQL table and something else again in an agent instruction. The retrieval infrastructure build-out of the past two years produced faster and cheaper vector search. It did not produce a shared definition of what the data means. At Snowflake Summit 26 in San Francisco, the data cloud vendor is taking a broad swing at that problem, with announcements spanning a Kafka-compatible managed streaming service called Data Stream, adaptive compute improvements, expanded Apache Iceberg interoperability and updates to its Cowork and CoCo agent and coding products. Running underneath all of it is a context layer: Horizon Context and C
I use local ai mainly for creative writing, and benchmarks are a bit iffy on that I feel like. I’d like to compare Gemma mainly to Gemini as I like their writing the best, I do know that qwen 3.6 is amazing but mostly for coding and agentic work. I’d like to ask everyone how the new(er?) models feel to you personally rather than looking at benchmarks which they are likely optimised for. For me, I feel like Gemma 4 31B (even q4) still falls short of 2.5 pro, I’m most familiar with 2.5 pro since I used so much of it for free on ai studio when it was a preview. The style and prose are there but long context it still misremembers minor details. I think it’s actually better than gpt 4.5, but tha could be personal preference since, again, I do mostly only creative writing submitted by /u/opoot_ [link] [comments]

NVIDIA has released open-source physical AI agent skills and tools, as well as an Isaac GR00T humanoid reference robot. The post NVIDIA releases new and updated tools for physical AI developers appeared first on The Robot Report.

Google's new "24/7" AI agent, Gemini Spark, can be shockingly good at doing things on your behalf. But I'm not sure it's worth the financial cost and potential privacy tradeoffs. The company gave me access to Spark last week. Google advertises Spark as an AI agent that can take on tasks and work on them in the background - even tasks that have multiple steps - allowing you to put your phone down or walk away from your computer. It also advertises at the very top of the Spark website that it's "always under your direction," that "you choose to turn it on," and that "it's designed to check with you before taking major actions." Given the moun … Read the full story at The Verge.
A new FAA aircraft-agnostic waiver lets Frontier Precision fly any NDAA-compliant drone under 55 pounds across more than 5,000 square miles of Vantis-managed airspace. Vantis, North Dakota’s beyond-visual-line-of-sight system, has onboarded Frontier Precision as its second champion operator. Frontier Precision secured a new FAA waiver that expands BVLOS operations through the four established Vantis service volumes. The […] The post Vantis BVLOS System Adds New Partner, FAA Waiver Across 5,000 Square Miles appeared first on DRONELIFE.

QNX, a division of BlackBerry, has released a new research study, the Inside the Robot: Architecture Benchmark Report, examining how robotics development is changing as systems become more software‑driven, AI‑enabled, and increasingly deployed alongside humans at work and in daily life. Based on a survey of 1,000 developers from around the world, the research reveals […]
https://huggingface.co/nvidia/Cosmos3-Super-Text2Image Nano: 16B Super: 64B Cosmos3 is a collection of Omnimodal world models capable of generating dynamic, high-quality video, image, audio, and action commands from combinations of text, image, video, and action trajectory inputs. It serves as a foundational building block for a broad range of Physical AI applications and research spanning world understanding, world generation, simulation, and embodied policy learning. Haven't seen much here yet. Some twitter discussion: https://x.com/victormustar/status/2061354267546427595 submitted by /u/RobotRobotWhatDoUSee [link] [comments]

A new AI compliance service sits between AI models and end users to flag and replace any messages that might present a compliance problem.
Hi, I'm prepare for a phd in the US in medical AI, so I want to improve listening and speaking skills. I warry about admission interview, and I like discuss research. I find male friends because I have a girlfriend. I don't want to make her worry. I find the friends online firstly. Please feel free to contact me. submitted by /u/CrazyIndependent7436 [link] [comments]