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Green AI: Making Machine Learning Environmentally Sustainable

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About this event

What to expect

Green AI: Making Machine Learning Environmentally Sustainable is a Brighton-based talk focused on the carbon footprint of artificial intelligence and practical ways to reduce it. If you’re building digital products that incorporate AI and care about energy use and environmental impact, this session is for you. Charles Humble will explore the true energy costs associated with training, inference, and deployment, and share actionable strategies to minimize emissions across the AI development lifecycle. Expect a mix of real-world examples and pragmatic guidance you can apply in your own teams, from data efficiency and model design choices to hardware and cloud patterns. The talk draws on work from the Green Software Foundation and related initiatives, with insights applicable to product teams, ML engineers, and developers alike.

The event is hosted by Green Software Brighton (GSF Brighton) with support from Silicon Brighton. Attendees can arrive from 18:00 for pizza and drinks, with the talk starting at 18:30, followed by informal networking and a local meetup after-hours. Special thanks are given to Runway East for providing space for the evening. For context and references, you can check the Green Software Brighton website for links to previous talks.

This session is suitable for those interested in sustainable AI, green software practices, and practical, battle-tested tips for reducing the environmental impact of AI projects. It’s an opportunity to learn, discuss, and network with peers who want to move AI forward in a more responsible, energy-conscious way.

Find more AI and automation events in Brighton and explore related topics such as automation in our directory. The event is a thoughtful blend of talk and networking—perfect for practitioners looking to incorporate sustainability into real-world ML workflows.

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