Susan Kennedy, Assistant Professor of Philosophy at Santa Clara University, talks with Jeff Bier, Founder of the Edge AI and Vision Alliance, for the “Ask the Ethicist: Your Questions about AI Privacy, Bias and Ethics Answered” interview at the May 2022 Embedded Vision Summit. Building ethical AI systems is a tricky business, since examining one’s […]
Susan Kennedy, Assistant Professor of Philosophy at Santa Clara University, presents the “Privacy: A Surmountable Challenge for Computer Vision” tutorial at the May 2022 Embedded Vision Summit. Ethical concerns about privacy come with the territory of computer vision—after all, it’s hard to deny the privacy implications when considering the digital images or videos that are
Harro Stokman, Chief Executive Officer and Founder of Kepler Vision Technologies, presents the “Improving Nursing Care with Privacy-Sensitive Edge Computer Vision” tutorial at the May 2021 Embedded Vision Summit. Around the world, there is a serious and growing shortage of nurses. Nursing care at night is a particular challenge because night shifts are less attractive
What’s New: Today, Intel introduced Intel® RealSense™ ID, an on-device solution that combines an active depth sensor with a specialized neural network designed to deliver secure, accurate and user-aware facial authentication. Intel RealSense ID works with smart locks, access control, point-of-sale, ATMs, kiosks and more. “Intel RealSense ID combines purpose-built hardware and software with a dedicated
Introducing Intel RealSense ID Facial Authentication Read More +
This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. In an age of universal surveillance, our sensing camera solutions offer a privacy-focused alternative. Security cameras are seemingly everywhere, all around us. They’ve become so ubiquitous that we barely even notice them anymore, monitoring and recording us
What About Privacy? Read More +
What’s New: Intel Labs and the Perelman School of Medicine at the University of Pennsylvania (Penn Medicine) are co-developing technology to enable a federation of 29 international healthcare and research institutions led by Penn Medicine to train artificial intelligence (AI) models that identify brain tumors using a privacy-preserving technique called federated learning. Penn Medicine’s work
This blog post was originally published by Bitfury. It is reprinted here with the permission of Bitfury. Each of us has been giving away our valuable data, for free, for more than 15 years. We do not have any real control of this personal data, nor how it is being processed, or why, or by
Hope on the AI Horizon for Data Privacy Read More +
This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. Privacy for machine learning (ML) and other data-intensive applications is increasingly threatened by sophisticated methods of re-identifying anonymized data. In addition, while encryption helps preserve privacy while data is stored on hard drives or moving over networks,
Protecting Privacy in a Data-Driven World: Privacy-Preserving Machine Learning Read More +
Robert E. Cattanach, Partner at Dorsey & Whitney LLP, delivers the presentation “Potential Impacts of Privacy Regulation and Litigation on Vision Technology” at the Embedded Vision Alliance’s December 2019 Vision Industry and Technology Forum. Cattanach provides insights into the fast-changing world of privacy regulation and litigation.
This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. Interactions with computer systems frequently benefit from the ability to detect information about the user or use environment. Image processing and analyzing techniques, including deep neural networks (DNNs), are often used for this purpose. However, many promising
Exploring Deep Learning Face Recognition with Thermal Images Read More +
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