AI Use in the Retail Industry

Infographic: Machine Learning Dominates AI Use for Retailers | Statista You will find more infographics at Statista

74% of AI use cases in retail are for customer-facing projects, while only 16% are dedicated to operations.

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Father of Deep Learning on its Current Limitations and Intel Experts on its Superpowers

Asked what is the biggest misconception about AI, Yoshua Bengio answered without hesitation “AI is not magic.” Winner of the 2018 Turing Award (with the other “fathers of the deep learning revolution,” Geoffrey Hinton and Yann LeCun), Bengio spoke at the EmTech MIT event about the “amazing progress in AI” while stressing the importance of understanding its current limitations and recognizing that “we are still very far from human-level AI in many ways.”

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VC Investment in China AI Startups

Lux Research

Chinese AI startups received $6.1 billion in VC funding over the past four years – almost 70% more than their U.S. counterparts, which raised $3.6 billion during the same period.

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AI by the Numbers: 75 Countries are Using AI Technologies for Surveillance Purposes

Recent surveys, studies, forecasts and other quantitative assessments of the impact and progress of AI highlighted the strong state of AI surveillance worldwide, the lack of adherence to common privacy principles in companies’ data privacy statement, the growing adoption of AI by global businesses, and the perception of AI as a major risk by institutional investors.

Read more here

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AI and machine learning startups worldwide raised $13.42 billion so far in 2019

Crunchbase News:
A Crunchbase News analysis of venture funding for companies tied to AI and machine learning finds that investment in U.S. startups continues to rise. Companies in the space raised $6.62 billion so far in 2019, which puts us on pace to slightly top the 2018 total of $8.67 billion. Global funding, meanwhile, is holding strong but has seen some pullback amid a broader decline in Chinese startup investment.

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The Cost and Speed of Computing and Communications 1956-2019

The Economist

The price of computation today is roughly one hundred-millionth what it was in the 1970s, when the first microprocessors became commercially available (see chart). According to figures collected by John McCallum, a computer scientist, a megabyte of data storage in 1956 would have cost around $9,200 ($85,000 in today’s prices). It now costs just $0.00002.

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Chimpanzee face recognition and great ape detection in the wild using deep learning

cimps

 

We present a deep convolutional neural network (CNN) approach that provides a fully automated pipeline for face detection, tracking, and recognition of wild chimpanzees from long-term video records.

And…

We propose the first multi-frame video object detection framework trained to detect great apes. It is applicable to challenging camera trap footage in complex jungle environments and extends a traditional feature pyramid architecture by adding self-attention driven feature blending in both the spatial as well as the temporal domain. We demonstrate that this extension can detect distinctive species appearance and motion signatures despite significant partial occlusion.

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