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

by THEFUTURE.TEAM

December 4, 2024

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.

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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.

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Google Says AI Has Accelerated Chrome Security Patching To Record Levels

Google said its internal AI tools helped identify and fix more security vulnerabilities in the last two Chrome releases than the company patched across the previous two years combined.

In a post published Thursday on its security blog, Google said it fixed 1,072 security bugs in Chrome versions 149 and 150, both released in June. That compares with 1,036 vulnerabilities fixed across the previous 23 Chrome releases.

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Google Expands AI Use In Security

Google outlined its approach in a white paper describing how it uses AI models to identify vulnerabilities and accelerate remediation. The report includes a chart showing a sharp increase in the number of bugs fixed in recent Chrome releases.

The company refers to each Chrome release as a “milestone.” Chrome version 126 was released in June 2024, while versions 149 and 150 shipped last month.

Company Says AI Speeds Vulnerability Detection

Doug Turner, Chrome’s director of engineering, said large language models have “fundamentally shifted the economics of cybersecurity” by automating vulnerability discovery.

“By applying models like Gemini, we are preemptively fixing vulnerabilities, outpacing our adversaries and making Chrome safer with every update,” Turner said.

Microsoft Also Reports More Security Fixes

Google is not the only technology company reporting higher numbers of security patches alongside broader AI adoption. Earlier this month, Microsoft said it fixed a record 570 vulnerabilities during its monthly Patch Tuesday release and cited its use of AI as one factor behind the increase.

Apple has not reported a comparable increase. According to an independent vulnerability tracker, the company has fixed 482 security flaws in 2026 so far, a total broadly in line with previous years.