Innovation

Latent Knowledge Identificaiton Using ML

Researchers used machine learning to analyse 3.3 million material science abstracts from 1922 to 2018. They found that the ML system captured fundamental knowledge within the field and also historically identified new materials and research to study before the new materials were discovered in real life. The research shows how machine learning can be used to identify latent knoweldge more quickly.

Lyft Self Driving Dataset

Lyft have released a huge self driving level 5 dataset comprising 55,000 human labelled 3D annotated frames, a driveable surface map and an underlying spacial semantic map to contextualise the data. The release of the dataset is part of a competition with a prize of $25,000, aimed at researchers to help Lyft train AI algorithms to help them reach their goal of a Level 5 (fully automated) self driving car.

Hololens Hologram Language Transaltion

Julia White from Microsoft Azure Marketing demonstrated the use of Hololens 2 to project a motion captured holograph of herself speaking in Japanese using her own speech patterns. The demonstration was created using Azure mixed reality to record the hologram, Azure text to speech and translate to create the spoken content and Azure neural text to speech technology to imprint her speech patterns in Japanese.

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