Remove 2018 Remove Australia Remove Store Remove Universal
article thumbnail

Monash team proposes roadmap to renewable ammonia economy; 3 generations of technology

Green Car Congress

While there is global potential to generate renewable energy at costs already competitive with fossil fuels, a means of storing and transporting this energy at a very large scale is a roadblock to large-scale investment, development and deployment. Note the logarithmic ordinate scale.

Renewable 419
article thumbnail

A First: An AI System Has Been Named An Inventor

Cars That Think

Abbott and his team filed applications in 2018 and 2019 in 17 patent offices around the world, including in the United States, several European countries, China, Japan, and India. Patent and Trademark Office (USPTO), and Intellectual Property (IP) Australia all denied the application, but Abbott filed appeals. Abbott is asking the U.K.

article thumbnail

IEEE Society Restores Electricity To a Nepali School

Cars That Think

The effect that access to reliable electricity has had on the village is amazing,” says Morgan Kiani , an engineering professor at Texas Christian University , in Fort Worth. Kiani traveled in 2018 to Cairns, Australia, for the IEEE International Symposium on Industrial Electronics.

Nepal 95
article thumbnail

How the Huawei Fight is Changing the Face of 5G

Cars That Think

This fact has allowed Huawei to expand its already formidable 4G market share into 5G, as it had many carriers already locked into the Huawei equipment universe. In 2018, a U.K. search giant stopped Huawei from offering Google-run services, such as Gmail, YouTube and carrying Google's Android app store, Google Play. So the U.S.

Chinese 118
article thumbnail

Five New Fusion Prospects, Minus the Neutrons

Cars That Think

Gerald Kulcinski, University of Wisconsin A new breed of maverick fusioneers is aiming to solve the neutron problem. There was a lot of work in what we then called ‘advanced fuels’ from the 1960s through the 1980s,” says Gerald Kulcinski, a nuclear engineer and professor emeritus at the University of Wisconsin.

Fusion 143
article thumbnail

Scientists use machine learning and HiTp to speed discovery of metallic glasses by 200 times; approach applicable to other materials

Green Car Congress

Researchers at SLAC and their colleagues at Northwestern University and NIST have combined machine learning (ML) and high-throughput (HiTp) experiments to find a new system of metallic glasses in the Co-V-Zr ternary. Until recently, thinking up, making and assessing new materials was painfully slow.

Universal 199