标签：#Google

Epic Games and Google have just jointly withdrawn their attempt to retroactively settle the lawsuit that's changing how Android app stores work in the United States - and that means Google will be forced to carry rival app stores inside of its own. In fact, Google tells the court, it's ready to begin carrying third-party […]

The Google Cloud Workbench Notebooks extension for VS Code is a new tool that enables developers to connect their local IDE directly to managed Jupyter notebook environments on Google Cloud. By Sergio De Simone

Hachette, Cengage, Elsevier, and other publishers allege that Google trained its AI on copyrighted works without the necessary permissions.

The new Google image search will use your "unique interests" to create an always-updated gallery.

Now, when users navigate to Google Images, they'll see a "For You" gallery of images tailored to their interests and browsing history.

Google is announcing a big change to the Google Images homepage in honor of the platform's 25th anniversary this week. Instead of a mostly blank page with a search bar, the homepage will soon show you a bunch of images that it thinks you might like before you even start searching. The company says the […]

Google is expected to officially reveal the Pixel Watch 5 on August 12.

Google and industry partners announced Agentic Resource Discovery (ARD) Specification, an open standard for publishing, discovering, and verifying AI tools, APIs, and agents. ARD introduces a discovery layer built on catalogs and registries, enabling dynamic capability discovery while leveraging existing protocols such as MCP and OpenAPI for execution and emphasizing trust and interoperability. By Leela Kumili

A new leak may have just spoiled the Pixel Watch 5 and its finishes ahead of Google's launch event next month. Leaked press renders provided to The Tide Chart by OnLeaks appear to show the upcoming watch with four case finishes: black (Dark Anthracite), polished silver (Natural Silver), yellow gold (Warm Gold), and a duskier […]

Demis Hassabis thinks the world needs an AI watchdog with the power to hit the brakes if frontier models become too dangerous. Writing in a blog post, the Google DeepMind CEO and cofounder said the US should lead the initiative, arguing that the country is the best place to set global standards "given its economic […]

There’s more to Google’s messaging app than you might realize.

Google released the Genkit Agents API in preview for TypeScript and Go. The open-source framework packages message history, tool loops, streaming, and state persistence behind a single chat() interface. Detached turns let agents work after clients disconnect. Interruptible tools provide human-in-the-loop control with anti-forgery validation on resume. By Steef-Jan Wiggers

Google has struck a deal to purchase a major solar project's entire electrical output to offset its fossil fuel emissions.

Bring on the magenta and peach.

This year's Google Pixel 11 lineup might come in a bunch of funky colors. A series of now-deleted Amazon listings spotted by 9to5Google show what appear to be placeholders for Google's upcoming Pixel 11 in hot pink Fuchsia (Hibiscus), vibrant green Moss (Pistachio), and Midnight (Obsidian) black. We've seen two sets of names for the […]

Some of the new features are powered by Google's Gemini AI assistant, which reflects the tech giant's broader push to integrate Gemini across its products while also better positioning Waze to compete with rival services such as Apple Maps.

This week's Java roundup for July 6th, 2026, features news highlighting: the GA release of TornadoVM 5.0; point releases of JHipster, Keycloak and Google ADK; maintenance releases of GraalVM Native Build Tools and Micronaut; the OmniFish Build of Payara and introducing Vidocq, a new implementation of the Jakarta EE 11 Core Profile and MicroProfile 7.1. By Michael Redlich

Waze is getting an AI makeover. Google is integrating its flagship AI assistant, Gemini, into the driving app with the goal of letting users personalize their trips a little more. Of the four new updates, only two are being described as involving Gemini. Waze says its updating its conversation reporting feature, first introduced in 2024, […]

This is a submission for Weekend Challenge: Passion Edition ( https://dev.to/challenges/weekend-2026-07-09 ) What I Built Rivalry Radar — a live "Heat Index" for World Cup rivalries. Fans drop 280-character Terrace Takes on any matchup (Brazil vs Argentina, England vs France, whatever's got you shouting at the TV), rate how much the moment hurt or thrilled them from 1–10, and the app does the rest: Google AI (Gemini) scores every take's sentiment the instant it lands — positive, negative, mixed, or neutral — and separately writes a short "Hype Verdict" in the voice of a stadium announcer, based on the latest takes for a matchup. That sentiment score feeds a Heat Index, computed and ranked in Snowflake with RANK() OVER (ORDER BY heat_index DESC), combining take volume, sentiment intensity, and self-rated passion into one live number per rivalry. Two leaderboards: which rivalry is hottest right now, and which fanbase is bringing the most passion overall. Demo frontend/index.html is fully self-contained: opening it in a browser lets anyone submit takes, watch the Heat Index flip digit-by-digit like an airport departure board, and see the leaderboards re-rank in real time. It ships with seed takes from eight classic rivalries so it's not empty on first load. Code NandhuTee / Rivalry-Radar-World-Cup-passion-engine-with-Snowflake-Google-AI 🔥 Rivalry Radar — World Cup Passion Engine Fans drop 280-character Terrace Takes on any World Cup matchup. Google AI (Gemini) scores the emotion behind every word and writes a stadium-announcer Hype Verdict ; Snowflake stores every take and computes a live Heat Index that ranks exactly which rivalry is boiling hottest right now. Built for the DEV Weekend Challenge: Passion Edition 🏆 Best Use of Google AI and Best Use of Snowflake Why this exists Passion is easy to feel and hard to measure. Every World Cup rivalry generates an ocean of unstructured text — chants, rants, one-line hot takes — that traditionally just... disappears into grou

Every logistics and field-sales team runs the same expensive process: a driver photographs a receipt into a WhatsApp group, and a back-office clerk manually types the invoice number, total, and date into a spreadsheet. Hundreds of receipts a week = transcription errors and thousands of wasted hours. AI vision models kill that bottleneck. Here's the pipeline that turns a blurry field photo into clean structured data in seconds. Why vision models beat traditional OCR OCR reads characters. Modern vision models (Claude Vision, Gemini Vision, GPT-4 Vision) read structure — they distinguish a tax ID from a total, and a date from an amount, even on crumpled, angled, or poorly lit receipts. No brittle per-vendor parsers. The pipeline (3–8 seconds end to end) WhatsApp image → Apps Script doPost → forward to vision model → model returns JSON { InvoiceNumber, TotalAmount, VendorName, Date, Category, confidence_score } → confidence routing: > 90 → auto-append to ledger 70–90 → flag for human review < 70 → ask driver to re-photo → write row to Google Sheet (+ link to original image) → auto WhatsApp confirmation to driver The confidence_score is the whole trick — it's what stops bad extractions from silently polluting your ledger. Model selection (this drives your bill) Gemini Vision — cost-efficient default, strong multilingual OCR, great on clean receipts. Claude Vision — highest accuracy on degraded receipts; use for high-stakes flows. GPT-4o Vision — competitive, strong structured extraction. Pattern: Gemini for the first pass, escalate only low-confidence cases to Claude / GPT-4o. The economics ~500 receipts/week: vision API $10–40 + WhatsApp API $30–60 + Apps Script free = ~$40–100/month . Versus a clerk at ~25 hrs/week = $2,000–4,000/month in loaded labor. Per-receipt cost: $0.005–0.02 (compress images to ~1024px to cut it further). Accuracy: 92–97% on legible receipts, 75–85% on handwritten/damaged — hence the confidence routing. Pitfalls to avoid Auto-appending with no c