Hardware

Neural network training made easy with smart hardware

Large-scale neural network models form the basis of many AI-based technologies such as neuromorphic chips, which are inspired by the human brain. Training these networks can be tedious, time-consuming, and energy-inefficient ...

Energy & Green Tech

Africa's chance for green electricity

A joint study by the University of Tübingen, the Senckenberg Society for Nature Research, the University of Osnabrück and the University of Rwanda has found that 80% of the energy required in Africa could come from renewable ...

Energy & Green Tech

Low-temperature synthesis of lithium ceramic for batteries

A lithium ceramic could act as a solid electrolyte in a more powerful and cost-efficient generation of rechargeable lithium-ion batteries. The challenge is to find a production method that works without sintering at high ...

Energy & Green Tech

Clean hydrogen: A long-awaited solution for hard-to-abate sectors?

One of the world's biggest climate challenges is decarbonizing fossil energy uses that cannot be directly electrified using renewable power. Among so-called "hard-to-abate" (HTA) sectors are major industries that rely on ...

Business

Bitcoin as environmentally costly as beef production

Taken as a share of the market price, the environmental costs of mining the digital cryptocurrency Bitcoin are more comparable to the climate damages of producing beef than gold mining costs, according to analysis published ...

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