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Amazon To Test AI-Created Material For Carbon Capture In Data Centers

Amazon is stepping up its environmental efforts by testing a groundbreaking carbon-removal material for its data centers. The company, which is tackling the growing emissions linked to the artificial intelligence systems powering these centers, has partnered with Orbital Materials, a startup that used AI to design the innovative substance.

Jonathan Godwin, CEO of Orbital Materials, explained that the new material acts like an atomic-level sponge, with cavities precisely sized to capture CO2 without interacting with other elements. This targeted approach could be a game-changer in carbon filtration.

One of the appealing aspects of the new material is its cost-effectiveness. Godwin estimates that the material could account for just 10% of the cost associated with renting a GPU chip for AI training, significantly less than the price of traditional carbon offsets.

Meanwhile, the demand for energy in data centers is rising, as AI’s rapid development requires more power and cooling solutions. This surge poses a challenge for Amazon, which is committed to achieving net-zero carbon emissions by 2040.

Amazon Web Services (AWS), the world’s largest cloud provider by revenue, plans to begin piloting the AI-designed carbon removal material in one of its data centers starting in 2025. This initiative is part of a three-year collaboration with Orbital, which will also gain access to AWS’s technology and open-source AI tools for further development.

Howard Gefen, General Manager of AWS Energy & Utilities, stated that the partnership would promote sustainable innovation, but financial details remain undisclosed. Orbital, with offices in Princeton, New Jersey, and London, began its journey about a year ago by setting up a lab to synthesize AI-designed materials. The startup aims to work with AWS to test additional AI-generated solutions, addressing water usage and cooling requirements in data centers. Godwin co-founded Orbital, which currently employs 20 people and is supported by investors such as Radical Ventures and Nvidia’s venture arm. Before this, Godwin contributed to materials science work at Alphabet’s DeepMind until 2022.

Google Showcases AI-Driven Android App Development At I/O 2026

At this year’s Google I/O 2026, Google has taken a decisive step into the future of app development by integrating advanced AI capabilities directly into its Android app creation process. With the introduction of native Android app development tools within its web-based Google AI Studio, the tech giant is compressing what was once a weeks-long process into just minutes.

Streamlined App Development With AI

Google’s new capabilities allow both seasoned developers and first-time creators to prototype Android apps rapidly using web-based tools. Leveraging the power of AI for coding, particularly with the integration of the Gemini AI in the desktop version of Android Studio, the company is reshaping the traditional paradigm of mobile development. The apps are developed using the Kotlin programming language, with support for Google’s Jetpack Compose toolkit and hardware sensor integration, including GPS, Bluetooth, and NFC.

Expanding the Ecosystem With Intelligent Discovery

Google is not only streamlining the creation process but also broadening the app ecosystem through enhanced discoverability. With Gemini AI set to facilitate app searches on both the Play Store and the web, developers gain a powerful tool for boosting their app’s exposure. An innovative “Ask Play” overlay allows users to engage in natural conversations with AI within the Play Store, finding apps that match their interests. This signaling move promises to integrate personal networks into app discovery, pivoting away from traditional search methods.

Enabling Future Innovation

The current offerings allow developers to preview their apps in a browser-based Android emulator, with installation directly onto devices via an integrated Android Debug Bridge. Advanced projects can be further refined by exporting code to GitHub or moving the project into Android Studio for more comprehensive development. Google hints at future integration with Firebase tools, which will further enable robust app functionalities and seamless testing, paving the way for personalized and community-driven app ecosystems.

By infusing AI into both development and user experience, Google is positioning its Android platform to support rapid innovation and a more inclusive approach to app creation. As the company continues to iterate on these features, the impact on the competitive landscape of AI-powered coding tools, from Cursor and Replit to emerging AI technologies, will be closely watched by both industry insiders and forward-thinking developers.

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