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Beyond The Backflip: Investing In Physical AI
Physical AI is reshaping industrial robotics. Learn when humanoid robots deliver real ROI — and when traditional automation still wins.
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The Environmental Impact of Generative AI: Why It’s Hard to Measure
What is the environmental impact of generative AI? Explore energy use, carbon footprint, and why AI’s impact is so difficult to measure.
deCYPher: Faster, Cheaper, and Smarter R&D for a Sustainable Future
Discover how deCYPher uses Active Learning and AI-powered DBTL workflows to create faster, cheaper, and more sustainable synthetic biology R&D.
Navigating AI Risks: How guardrails ensure ethical and safe AI use
Learn how AI guardrails ensure ethical and safe AI use, mitigating risks like misinformation, bias, and autonomy failures while complying with regulations like the AI Act.
The EU Data Governance Act (DGA): an engine for innovation
Explore how the EU Data Governance Act drives innovation by enabling data reuse, fostering trusted intermediaries, and promoting altruistic data sharing.
Smart energy: how to make your home battery smart and save money?
Save on electricity costs with a smart home battery. Learn how dynamic pricing and real-time controls can reduce energy expenses by up to 35%.
![AI for the green transition - Applications and use cases [Part 2]](https://5386477.fs1.hubspotusercontent-na1.net/hub/5386477/hubfs/organic%20farm%20in%20house%20with%20working%20robot.png?length=1222&auto=compress,webp&upscale=true)
AI for the green transition - Applications and use cases [Part 2]
Explore how AI can revolutionize transport, mobility, and environmental conservation, contributing to a sustainable future. Discover practical applications driving the green transition.
AI for the green transition - Applications and use cases [Part 1]
Explore how AI accelerates the green transition by enhancing energy efficiency, reducing waste, and optimizing agriculture for a sustainable future.