标签：#AR

If physical AI is going to match the accomplishments of LLMs, there's a data problem that needs to be solved.

Pramaana will focus on highly sensitive verticals like law, drug discovery, and tax preparation — where errors can be costly and reliability is at a premium.

The Toy Story franchise began with a story about a vintage doll feeling threatened by the arrival of an electronic action figure. Woody and Buzz's rivalry embodied a shift that was happening in the '90s as children's toys were becoming more technologically sophisticated, and while toys have gotten even more tech-focused in the years since, […]

Arriving six years after Google’s last smart speaker, the new HomePod-style device was redesigned to play host to Gemini’s chatbot.

Upgrades include 360-degree audio and deeper integration with Google's Gemini.

The first two articles in this series each showed one technique. Implementation notes #001 was a dynamic dropdown — a form field that fills itself from an API. Implementation notes #002 was a dynamic credential — an API key that arrives from the form and threads through to the HTTP nodes. This article is the capstone. It walks through all-services-demo , the example workflow that ships with n8n-nodes-ldxhub , where those two techniques combine with a Switch node to host five different AI document-processing services inside one workflow — structured extraction, translation refinement, OCR, PDF conversion, and text extraction. The screenshots and the workflow JSON below come from the n8n-nodes-ldxhub package. The patterns themselves are generic — they work for any set of services you want to consolidate into a single template. This is not a "follow these steps" article. It's a parts catalog. No two readers are solving the same problem, and templates rarely fit anyone's situation as-is. Take what fits. Drop the rest. You don't need to understand all 46 nodes to reuse the patterns. The shape The workflow has 46 nodes — large enough to look intimidating in the editor, but structurally it's just five repeated paths plus a small routing section. The entry section is two nodes: On form submission — the trigger. Asks the user which service they want and collects an API key. Route by Service — a Switch node with five outputs, one per service. Everything to the right of the Switch is service-specific. Five paths fan out: StructFlow, RefineLoop, RenderOCR, CastDoc, ExtractDoc. Each path ends in two Form Ending nodes — one for success (auto-downloads the result), one for error. That's the spine: form → switch → service path → ending. The complexity is pushed into the service paths. The spine: routing by static comparison The Switch node ("Route by Service") uses Rules mode. Each rule reads the same expression from the form — {{ $json.service }} — and compares it to a static serv

Google's first new smart speaker in six years starts shipping on June 29th, narrowly missing its promised spring launch window. Preorders for the Google Home Speaker open today, June 17th. Nothing has changed hardware-wise in the nine months since the $99 speaker was announced. It has the same slightly squished round design, with touch-capacitive buttons […]

The smart home networking protocol Thread is adding a new way to onboard devices without a Thread border router. The feature, called Thread Direct, is designed to let users set up Thread-powered devices - such as smart plugs and smart locks - using only a phone or mobile device equipped with a Thread radio. Current […]

Jackery is jumping on the fridge-battery trend with what it says is the "world's slimmest." FridgeGuard also looks nice; a break from power stations that tend to look more at home at a job site than the kitchen or living room. Measuring just 2.63 inches (67mm) thick, the Jackery FridgeGuard power station is meant to […]

The new Thread Networks Diagnostics Tools app from Thread Group, the standards body behind the wireless IoT protocol, officially launches in beta today. The app, which arrives on iOS and has been available on Android in alpha for a few weeks, is the first dedicated tool to provide visibility into your Thread-based smart home network. […]

There is a quiet tax many engineering teams pay after their automated test suite starts to matter. The tests live in code. They run in CI. They already know the branch, commit, environment, failure message, stack trace, screenshot, trace file, retry status, and build URL. Then someone asks: Can we put these tests in Jira too? That request usually comes from a good place. Jira is where work is planned. Product, QA, engineering, and release stakeholders already use it. If quality signal is invisible there, people end up asking for screenshots from CI, links to failed builds, or spreadsheet summaries before every release. The mistake is assuming the answer is to recreate every automated test as a manual Jira test case. For many teams, that creates a second source of truth that starts decaying immediately. Automated tests are not manual test cases Manual test cases and automated tests have different jobs. A manual test case is a human-readable procedure. It often describes a workflow, expected result, and maybe some preconditions. It is useful when a person needs to execute or review a scenario. An automated test is executable behavior. It is versioned with the code, refactored with the product, reviewed in pull requests, and run repeatedly by machines. When teams try to manage automated tests by copying them into a test-case inventory, they usually create a translation problem: The test name changes in code, but the Jira case does not. The test is deleted or split, but the manual record still exists. The CI failure has rich evidence, but the test case only says "failed." The test belongs to a branch or commit, but the copied case does not. The release team sees a static inventory instead of the latest run signal. The test case becomes a label for a thing that actually lives somewhere else. The better question Instead of asking, "How do we turn all automated tests into Jira test cases?", ask: What does Jira need to know from each automated run? That changes the shape of

The Canadian pension giant will acquire an 8.2% stake in CtrlS, a tech giant that operates more than 15 data centers across India.

We’ve trawled the depths of Amazon to find the best deals on gear we’ve tested.

With this acquisition, DeepL is opening an office in San Francisco to expand its U.S. business.

Smart mowers are an expensive alternative to old-fashioned yard work, but they’re finally good enough to consider if you’d rather sip an iced tea and watch a robot tame your lawn.

The bigger battery is standard and there are now simulated "E-Shifts."

They’re much more recyclable than the current plastic ones, and they will still probably be locked away behind that anti-theft plexiglass.

Matter, the smart home interoperability standard, might finally get a feature that should have been there from day one: a single shared Matter network managed by multiple ecosystems. With this feature, called Joint Fabric, smart devices added to the network will be controllable by any authorized platform - Apple Home, Google Home, Amazon Alexa, and […]

I’ve been reviewing laptops for over a decade, and this is my advice on how to find the right laptop for you.

I'll admit it. I was wrong. Wildly colorful lighting is delightful for your smart home - well, outdoors, at least. Smart lighting is one of my favorite features of the smart home - it combines convenience with ambiance, letting you change the entire look of your room with just a press of a button. But, […]