Unlock the potential of wastewater treatment with machine learning. Researchers from the University of Porto developed an approach to predict energy consumption, reducing costs by up to 8%. Learn more.
Discover Neologic's innovative solution to the hidden cost of AI use: reduced complexity microprocessor design, offering more efficient and compact processors.
Discover how advanced computing technologies like Quantum Computing, Photonics, and Neuromorphic Computing are more energy-efficient than AI in fighting climate change.
Taiwan's TSMC has kickstarted pre-production operations for its 2nm process, utilizing AI to enhance energy efficiency in the process. The move aims to bring the chips to mass production by 2025 with Apple and Nvidia set to be early customers. Samsung is also working on 2nm chips but anticipates delivering via a 1.4nm process by 2027. The drive towards smaller, more powerful, and energy-efficient chips is intense, and TSMC and Samsung are competing to meet demand.
Discover the impact of ChatGPT and generative AI on the environment in this article by Associate Professor of Computer Science Kate Saenko. Learn why renewable energy is vital to reduce emissions and create efficient Artificial Intelligence models. Find out the implications of generating AI models and understand the carbon footprint of ChatGPT.
Explore the evolution of tech policy from Obama's optimism to Harris's vision at the Democratic National Convention. What's next for Democrats in tech?