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Dezeen Awards China 2023 Designers of the Year winners announced

Dezeen has announced the winners of the six Designers of the Year categories at this evening's Dezeen Awards China 2023 ceremony.

Chongqing , China , Shanghai , Yantai , Shandong , Belgium , Beijing , Chengdu , Sichuan , Shanfeng , Zhejiang , Hangzhou

China's Designew platform explores the design of errors

Chinese manufacturers and Designew collaborate with global designers for a project led by Mario Tsai to emphasise the value of mistakes in creative process

China , Shanghai , Shi-zhou , Jiangxi , Netherlands , Switzerland , Shenzhen , Guangdong , Hangzhou , Zhejiang , Chinese , Swiss

Carly Breame turns seaside town's leftover fish and chips into plates

Plates made from fish bones, potato peelings and oyster shells feature in the work of recent design graduate Carly Breame.

United-kingdom , Saint-martin , British , Gregg-moore , Carly-breame , Zhekai-zhang-coffire , Central-saint-martin-material-futures , Fruit-salad , Zhekai-zhang , Blue-hill , Stone-barns

A language learning system that pays attention — more efficiently than ever before


Credits:
Image: Jose-Luis Olivares, MIT
Previous image
Human language can be inefficient. Some words are vital. Others, expendable.
Reread the first sentence of this story. Just two words, “language” and “inefficient,” convey almost the entire meaning of the sentence. The importance of key words underlies a popular new tool for natural language processing (NLP) by computers: the attention mechanism. When coded into a broader NLP algorithm, the attention mechanism homes in on key words rather than treating every word with equal importance. That yields better results in NLP tasks like detecting positive or negative sentiment or predicting which words should come next in a sentence.

South-korea , Han , Hanrui-wang , Zhekai-zhang , International-symposium-on-high , Department-of-electrical-engineering , High-performance-computer , Electrical-engineering , Assistant-professor-song , Hardware-aware-transformer , Spatten , Natural-language-processing