Juntem-se a nós para mais uma conversa muito interessante sobre AI. Neste episódio decidimos abordar o tópico da deteção de anomalias, falando dos mitos e espectativas que de vez em quando, são inflacionadas nestas abordagens. Vamos partilhar alguns casos práticos sobre este tema, acompanhados com uma conversa descontraída sobre este tópico tão falado do ML. Links da IA News: Uncovering secrets of the “black box”: Pedro Domingos, author of “The Master Algorithm,” shares new work examining the inner workings of deep learning models: https://news.cs.washington.edu/2020/12/02/uncovering-secrets-of-the-black-box-pedro-domingos-author-of-the-master-algorithm-shines-new-light-on-the-inner-workings-of-deep-learning-models/ Chinese AI chipmaker Horizon endeavours to raise $700M to rival NVIDIA: https://artificialintelligence-news.com/2020/12/22/chinese-ai-chipmaker-horizon-raise-700m-rival-nvidia/ Making datasets inclusive from the ground up: https://www.marketplace.org/shows/marketplace-tech/making-datasets-inclusive-from-the-ground-up/

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“What did the council decide on item 42?” — answered with the speaker and the moment.

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