#Artificial Neural Networks
  • A.I. Systems Echo Biases They’re Fed, Putting Scientists on Guard

    Nov 11, 2019

    Researchers say computer systems are learning from lots and lots of digitized books and news articles that could bake old attitudes into new technology.

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  • AI Seeks the Perfect Employee

    Nov 3, 2019

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  • Facebook highlights AI that converts 2D objects into 3D shapes

    Oct 29, 2019

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  • AI And Cybersecurity: Plague Or Promise?

    Oct 28, 2019

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  • Health leaders ramp up AI investments as confidence in the technology grows

    Oct 10, 2019

    Administrative process improvements top the list of investment priorities, led by technologies to help automate business processes like administrative tasks or customer service.

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  • Toronto's Pearson airport to use AI-powered technology to detect weapons

    Oct 2, 2019

    Canada’s busiest airport will soon be using artificial intelligence-powered technology to detect weapons. The operator of Toronto’s Pearson International Airport says it has agreed to test the new system developed at an Ivy League American university and marketed by a B.C. company. Vancouver-based Liberty Defense Holdings Ltd. says the technology, known as Hexwave, can detect both metallic and non-metallic weapons ranging from guns and knives to explosives.

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  • Why Facebook Views AR As Its Next Big Platform

    Sep 28, 2019

    Smartphones are great, but they are not the future of communication. Big technology companies know this. That’s why, with the help of the company that makes Ray-Ban and Oakley sunglasses, Facebook wants to put artificial intelligence computers on your face, according to a CNBC report September 17.

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  • Mount Sinai announces plans for BioMedical Engineering and Imaging Institute

    Sep 23, 2019

    The Mount Sinai Health System in New York City announced Monday, Sept. 23, the creation of its new BioMedical Engineering and Imaging Institute (BMEII). The center, expected to be fully operational by early 2020, will focus on using Mount Sinai’s data for the development of new solutions related to medical imaging, nanomedicine, AI, robotics, sensors and more. At least nine researchers and their teams will be invited to work within the BMEII.

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  • The future of image recognition technology is deep learning

    Sep 16, 2019

    Compared to typical machine learning, deep learning works by building neural networks that simulate the mechanism of the human brain and then interpreting and analyzing data, such as image, video and text.

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  • AI Companies Raise More Money Across Fewer Rounds

    Sep 9, 2019

    In the startup world, it seems like everyone wants to either be an artificial intelligence company or throw money at one. That was true several years ago, and it still holds true today. However, the funding dynamics have changed some.

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The content and distribution of Azafran’s INSIGHTS newsletter is focused to our LP, incubator, research, investment and partner ecosystem. As we look to build a two-way dialogue benefitting our collective efforts, each month we highlight important news and our approach to the emerging intersection of deep technology, end to end solutions and platforms driven by voice, acoustics/sensory and imagery.

The content and distribution of Azafran’s INSIGHTS newsletter is focused to our LP, incubator, research, investment and partner ecosystem. Below are highlights from the last two issues, please sign up to receive access to past and new issues as they are published.

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  • Issue 20 - As the COVID-19 pandemic increases the need for touchless environments, from frontline workers to everyday commerce, robotics takes center stage.

    COVID-19 and the Golden Age of Robotics

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  • Issue 20 - Azafran Portfolio Case Study: Emoshape

    Emoshape emotion synthesis chip (EPU) technology represents a massive leap for AI

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