120+ Women Spearheading Advances in Visual Tech and AI

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120+ Women Spearheading Advances in Visual Tech and AI

Since 2012, we have been showcasing brilliant women whose work in visual tech and AI is reshaping business and society. In 2020, we started our “Women Leading Visual Tech” series. We are thrilled to showcase an expanded list of women behind many of the technological innovations that we experience today. Their contributions are extremely valuable to our ecosystem and the world. Our initial list consists of 121 names placed in alphabetical order. It features experts in machine vision, pattern recognition and generative models for digitizing the real world, as well as leaders in quantum hardware, nanophotonics and semiconductors which is the foundation for all the visual tech and AI progress.

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“The Difference Is – Now The Whole World Is Paying Attention To AI,” Says Prof. Serge Belongie

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“The Difference Is – Now The Whole World Is Paying Attention To AI,” Says Prof. Serge Belongie

As we approach the 10th Annual LDV Vision Summit, we thought it fitting to pose a few burning questions to Serge Belongie, a professor of Computer Science at the University of Copenhagen, the head of the Danish Pioneer Centre for Artificial Intelligence and LDV Capital Expert in Residence. We delved into his experiences as a prominent figure in AI and sought his insights on the present landscape of visual technologies. Additionally, we explored his thoughts on the prospects available to researchers aiming to bring their work to market and impact humanity at large.

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Timnit Gebru on Algorithmic Bias & Data Mining Ethics

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Timnit Gebru on Algorithmic Bias & Data Mining Ethics

LDV Capital’s Abigail Hunter-Syed kicks off our Women Leading Visual Tech series with the interview with Timnit Gebru. Timnit holds a Ph.D. from Stanford University and is currently the technical co-lead of the ethical artificial intelligence team at Google.

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Timnit Gebru Wins 2017 ECVC: Leveraging Computer Vision to Predict Race, Education and Income via Google Streetview Image

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Timnit Gebru Wins 2017 ECVC: Leveraging Computer Vision to Predict Race, Education and Income via Google Streetview Image

Our annual LDV Vision Summit has two competitions:
1. Startup competition for promising visual technology companies with less than $2M in funding

2. Entrepreneurial Computer Vision Challenge (ECVC) for computer vision and machine learning students, professors, experts, or enthusiasts working on a unique solution to empower businesses and humanity.

Congratulations to our 2017 LDV Vision Summit Entrepreneurial Computer Vision Challenge Winner: Timnit Gebru.

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Thank You for Making Our 4th Annual LDV Vision Summit a Success!

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Thank You for Making Our 4th Annual LDV Vision Summit a Success!

Our 2017 Annual LDV Vision Summit was an absolutely amazing event, thanks to all of you brilliant people.

"My second time attending the LDV Vision Summit was even better than the first. A great mix of accomplished technical people and energetic young entrepreneurs." Dave Touretzky, Research Professor, Computer Science at Carnegie Mellon University.

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