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Multi-cloud architecture design is not a niche exercise for large enterprises. It has become a practical requirement for teams balancing performance, resilience, regional coverage, compliance, vendor flexibility, and cost control in more than one environment. The challenge is that multi-cloud design is not about picking services from AWS, Azure, or Google Cloud. It is about deciding how systems should be structured, governed, visualised and maintained when infrastructure spans different platforms with different constraints.That is why multi-cloud architecture design needs better tooling than a static diagram or a generic whiteboard. Teams need platforms that help them model target-state environments, understand current-state…

If you’ve been the victim of fraud, you’re likely already a lead on a ‘sucker list’ – and if you’re not careful, your ordeal may be about to get worse. 10 Apr 2026  •  , 5 min. read The worst thing you can do after falling victim to fraud is let your guard down. Online scammers only care about one thing: making money, so when new opportunities arise to do just that, they take them. It doesn’t matter if it involves re-victimizing someone who has already been defrauded, raising false hopes and exploiting their desperation to get their stolen funds…

Boston Dynamics is injecting Google DeepMind intelligence into its Spot robot platform for improved autonomous machinery inspections.To give the hardware autonomous reasoning capabilities tailored specifically for heavy industry, Boston Dynamics partnered with Google Cloud and Google DeepMind to integrate Gemini and Gemini Robotics ER 1.6 into Orbit AIVI-Learning, delivering a more sophisticated, intuitive, and powerful AI experience.Because of this integration, Boston Dynamics Spot and Orbit now continuously learn about facilities with unprecedented depth, allowing for higher-order reasoning and more complex visual analysis. Spot can now visually read analogue gauges, detect hazardous chemical spills, and interpret the physical environment without constant…

Posted by Bennet Manuel, Group Product Manager, App & Ecosystem TrustWe strive to make Google Play the safest and most trusted experience possible. Today, we’re announcing a new set of policy updates and an account transfer feature to boost user privacy and protect your business from fraud. By providing better features for users and easy-to-integrate tools for you, we’re making it simpler to build safer apps so you can focus on creating great experiences. We’re also expanding our features to help you manage new contact and location policy changes, so you have a smoother, more predictable app review experience. By…

By pairing a ferroelectric capacitor with a linear capacitor, researchers create a power‑efficient device with tuneable memory and strong nonlinear responses Computing illustration (Courtesy: iStock/Devrimb) Reservoir computing is a computational approach well suited to time‑dependent tasks such as speech recognition, because it relies on internal dynamics, nonlinear responses, and short‑term memory of recent inputs. However, most hardware implementations consume too much power and lack the rich dynamics needed for complex problems. In this study, the researchers introduce a new reservoir‑computing device made by connecting a ferroelectric capacitor (FC) in series with a linear capacitor (LC). This FC-LC device naturally provides…

Martin Kleppmann, Associate Professor at the University of Cambridge and author of the best-selling O’Reilly book, Designing Data-Intensive Applications, talks to host Adi Narayan about local-first collaboration software. They discuss what the term means, how it leads to simpler application architectures compared to the cloud-first model, and the benefits to developers and users from keeping all of their data on their own devices. Martin goes into detail about how applications can synchronize data with and without a server, as well as conflict-resolution techniques, and the open-source library Automerge, which implements CRDTs and which developers can use out-of-the-box. He also clarifies…

Summary created by Smart Answers AIIn summary:Warner Bros. announced “Game of Thrones: Aegon’s Conquest” at CinemaCon, focusing on the Targaryen conquest of Westeros 300 years before the original series.Tech Advisor estimates the earliest release date as early 2028, with no script currently existing and extensive production time required.The film will feature Aegon I Targaryen and his sister-wives Visenya and Rhaenys conquering six kingdoms with iconic dragons like Balerion and Vhagar. Back in 2024, Warner Bros. confirmed it was planning a film set in George R. R. Martin’s universe. For months, fans speculated about the film’s plot – and finally, during…

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. NASA is building the first nuclear reactor-powered interplanetary spacecraft. How will it work? Just before Artemis II began its historic slingshot around the moon, NASA revealed an even grander space travel plan. By the end of 2028, the agency aims to fly a nuclear reactor-powered interplanetary spacecraft to Mars. A successful mission would herald a new era in spaceflight—and might just give the US the edge in the race against China. But the project remains shrouded in mystery. …

Comcast has quietly made some changes to its Xfinity Mobile plans, including revised data policies for all customers on unlimited plans and the removal of by-the-Gig packages for new customers. Comcast said it has removed the “data threshold” it had applied to its primary Unlimited plan, essentially matching what it offers to customers on the Premium Unlimited plan launched about a year ago. Previously, customers on the Unlimited plan would see their speeds reduced after they consumed 30 Gigabytes or more of mobile data in a given month.Comcast confirmed that the change took effect on April 8 and that the Xfinity…

Modern conversational AI agents can typically handle complex, multi-turn tasks like asking clarifying questions and proactively assisting users. However, they frequently struggle with long interactions, often forgetting constraints or generating irrelevant responses. Improving these systems requires continuous training and feedback, but relying on the “gold standard” of live human testing is prohibitively expensive, time-consuming, and notoriously difficult to scale.As a scalable alternative, the AI research community has increasingly turned to user simulators — LLM-powered agents explicitly instructed to roleplay as human users. However, modern LLM-based simulators can still suffer from a significant realism gap, exhibiting atypical levels of patience or…