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The private Android-based OS will expand beyond Pixels next year.

Walmart will soon allow you to pay for your items with Google Pay or Apple Pay. In an announcement on Friday, Walmart says it's going to bring tap-to-pay capabilities to "select" Walmart and Sam's Club locations starting August 24th, before rolling out support to all US stores by the end of 2026 and gas stations […]

Are pigs flying? Walmart has finally caved on its refusal to support Apple Pay and Google Pay.

In our inaugural issue , we established that the future of enterprise AI lies not merely in raw model parameters, but in the architectural paradigms—specifically Graph Neural Networks (GNNs)—that capture relational intelligence. However, the most sophisticated architectural decision is rendered obsolete if the deployment infrastructure introduces prohibitive latency. At Informatiqs, we emphasize that model deployment is fundamentally an operations research problem. As we transition from batch-processed predictions to real-time Generative AI and dynamic Machine Learning on Google Cloud Platform (GCP), we confront the inherent friction between compute elasticity and system responsiveness: the notorious "Cold Start" problem. In this issue, we dissect the mathematics of serverless inference, the orchestration of Cloud Run and Eventarc, and how minimizing initialization latency is the ultimate enabler for high-frequency, event-driven enterprise intelligence. 1. The Mathematical Anatomy of the Cold Start To engineer a solution, we must first formalize the problem. In a serverless architecture (scale-to-zero), infrastructure scales dynamically with demand. The total response time for an inference request can be understood as a composite of three phases. First, the baseline network latency. Second, the actual inference time—the computational effort of the model itself. The critical variable, however, is the conditional penalty phase. If a serverless container has scaled to zero, the system must endure the time required to provision new compute resources and the heavily taxing process of loading massive neural network weights into memory. If the container is already 'warm', this penalty is completely bypassed. We can model the probability of encountering this cold start using queueing theory. Assuming incoming inference requests arrive as a stochastic process, the likelihood of a cold start is determined by the mathematical relationship between the frequency of incoming requ

Google will soon allow you to customize your Discover feed by describing what you want to see. The new feature, rolling out to the Google app in the "coming days," will use AI to automatically tweak your feed and "remember" your preferences for future visits. You'll find the option within the three-dot menu on your […]

In the current epoch of Artificial Intelligence, the industry remains singularly preoccupied with the "Model" — obsessing over the raw parameter scales of the latest LLMs or the specific benchmark performance of a new transformer variant. However, at Informatiqs, we shift the lens. We recognize that sustainable enterprise value is rarely derived from the model in isolation; instead, it emerges from the high-stakes architectural decisions and systemic orchestration that define its environment. As we launch our inaugural edition, we dissect a critical technological nexus: the convergence of Graph Neural Networks (GNNs), Generative AI, and the industrial-grade infrastructure of Google Cloud Platform (GCP). We argue that for complex enterprise datasets, the transition from flat vector embeddings in latent space toward non-Euclidean, graph-based relational intelligence is the primary differentiator for the next generation of resilient AI applications. 1. The Scientific Foundation: Exploiting Relational Inductive Bias Traditional Deep Learning architectures, such as Convolutional Neural Networks (CNNs) for images or Transformers for text, primarily operate on data structured as sequences (Euclidean space). While exceptionally powerful, these structures often fail to capture the topological nuances of real-world systems like supply chains, molecular structures, or fraudulent transaction webs where data is inherently non-Euclidean. Graph Neural Networks (GNNs) provide a framework for learning from data represented as nodes and edges. Unlike standard neural networks that process inputs in isolation, GNNs utilize a Message Passing paradigm. In this process, a node's internal representation is iteratively updated by aggregating information from its immediate neighbors. Instead of looking at a data point as a single row in a database, the GNN looks at who that data point "talks to" and how those connections define its identity. By utilizing Graph Attention mechanisms, we can fu

When 150,000 tickets went on sale for The Odyssey in 70mm IMAX, they sold out almost instantly. But plans change, cancellations happen, and good seats randomly open up at odd hours. To solve this, Andrew Baker from Temporal built IMAXXING : a service that monitors every 70mm IMAX showing across the US and alerts subscribers the moment great seats become available. What started as a fun weekend project quickly scaled, now over 9,000 users. I sat down with Andrew to break down the architecture: how durable execution keeps long-running workflows alive, how to debounce alerts so you don't spam users, and how serverless workers on Google Cloud Run handle sudden spikes in demand without overprovisioning. What's in the video Durable execution 101: How Temporal allows you to rewind history to the point of failure. The Entity Workflow pattern: Why there is one persistent workflow per user subscription and separate monitoring workflows per showing across the country. Signals & smart debouncing: How showing workflows send signals to wake up subscription workflows, and how a 60-second in-workflow timer batches multiple theater alerts into a single digest—without consuming active CPU while sleeping. Serverless workers on Cloud Run : How running Temporal workers as serverless containers lets compute autoscale directly with task queue depth rather than generic CPU metrics. AI agents for ops: How modern coding agents paired with Terraform and the gcloud CLI accelerated the deployment and operational dashboard setup. The point that stuck with me is how durable execution fundamentally changes how you think about long-lived state and retries. Instead of building complex cron jobs, custom retry databases, and alert queues, the workflow state itself is the queue and the timer. Have you experimented with entity workflows or running workflow workers on serverless infrastructure? How do you handle debouncing and noisy downstream APIs in your own apps?

A hacker pretending to work for a leading cryptocurrency news website targeted several cybersecurity professionals using Google Docs as a way to deliver malware.

Google is giving publishers a new button that lets readers make them a preferred source across Search, Discover, and Google News, potentially boosting their traffic as AI search sends fewer clicks to the web.

Google is adding more options to customize your search and Discover experiences.

Google's new HiLight notification LED on the Pixel 11 Pro is nearly useless. Out of the box, the only two things it can glow for are when the phone is face down and you're interacting with Gemini, or when you get a call from a favorite contact. And even then, it can only glow one […]

Bankrupt Spirit accused of selling out workers in massive data sale to Google.

College students can get a free year of Google's AI Pro plan, something that would normally cost $200.

The launch of the new study features marks Google's latest effort to make Gemini the AI assistant that students turn to when learning and studying, as it continues to compete with companies like OpenAI.

As we're gearing up for back-to-school season, Google is rolling out a new dedicated student hub in Gemini. It's a one-stop repository for collecting research in a study notebook, creating flashcards, taking practice quizzes, and more. Google is also enhancing its study notebooks with support for graphs and images. It can even add test dates […]

Operation Blue Skies, which also involves the UK government, will subtly reroute flights to test contrail avoidance.

The embargo has lifted on Google's Pixel 11 series, as well as for its Pixel Watch 5. Now we get to talk smack - just kidding, the new hardware is good. We have four reviews live on the site that you can peruse at your leisure. We're giving subscribers a chance to engage with us […]

Google's new Pixels make some compromises but still manage to be good phones.

The foldable phone market is in the middle of a huge transformation, but no one told Google. Last year, Samsung transformed its Galaxy Z Fold 7 with a dramatically thinner design. This year, it made its phones thinner and lighter again, almost eliminated the crease, and introduced a new passport-sized form factor that feels like […]

Google is trying to get you off your phone. The Pixel 11 Pro is "A Phone Designed to Help You Use It Less," the company promises. It can proactively help you book restaurant reservations, take the best frames from a video, and help you voice-text significantly faster. The pitch is that the new features bundled […]