The IEA forecast indicates a sharp rise in the requirements of AI, but said threat to the climate was ‘overstated’| the Guardian
Data are values of qualitative or quantitative variables, belonging to a set of items. Data in computing are represented in a structure, often tabular (represented by rows and columns), a tree (a set of nodes with parent-children relationship) or a graph structure (a set of interconnected nodes). Data are typically the results of measurements and can be visualised using graphs or images.| TNW | Data
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From putting data centres in wind turbines to 'immersion cooling', these startups are working on solutions to AI's big energy problem.| TNW | Sustainability
One of Europe’s leading climate tech VC firms recommends developing three computing technologies to sustainably meet AI energy demands.| TNW | Sustainability
PhaseTree blends computer simulations, lab automation, and AI to develop new materials for green batteries, solar panels, and wind turbines.| TNW | Deep-Tech
In tests, the AI model made faster and more accurate predictions than the best system available today.| TNW | Deep-Tech
Electricity grids around the world are struggling to adapt to the influx of renewable energies like wind and solar. Sympower has a fix.| TNW | Sustainability
The startup's technology recycles energy from data centres to heat water for applications like swimming pools and heating networks.| TNW | Sustainability
Artificial Intelligence (AI) is a branch of computer science that studies intelligent systems (i.e. software, computers, robots, etc.). Alternatively, it may be defined as "the study and design of intelligent agents", where an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success. John McCarthy, who coined the term in 1955, defines it as "the science and engineering of making intelligent machines".| TNW | Artificial Intelligence