Computer Vision


Computer vision is the field of study surrounding how computers see and understand digital images and videos. Computer vision spans all tasks performed by biological vision systems, including "seeing" or sensing a visual stimulus, understanding what is being seen, and extracting complex information into a form that can be used in other processes. This interdisciplinary field simulates and automates these elements of human vision systems using sensors, computers, and machine learning algorithms. Computer vision is the theory underlying artificial intelligence systems' ability to see and understand their surrounding environment. There are many examples of computer vision applied because its theory spans any area where a computer will see its surroundings in some form.

Academia's Facial Recognition Datasets Illustrate The Globalization Of Today's Data


This week's furor over FaceApp has largely centered on concerns that its Russian developers might be compelled to share the app's data with the Russian government, much as the Snowden disclosures illustrated the myriad ways in which American companies were compelled to disclose their private user data to the US government. Yet the reality is that this represents a mistaken understanding of just how the modern data trade works today and the simple fact that American universities and companies routinely make their data available to companies all across the world, including in Russia and China. In today's globalized world, data is just as globalized, with national borders no longer restricting the flow of our personal information - trend made worse by the data-hungry world of deep learning. Data brokers have long bought and sold our personal data in a shadowy world of international trade involving our most intimate and private information. The digital era has upended this explicit trade through the interlocking world of passive exchange through analytics services.

Facial Recognition: When Convenience and Privacy Collide


The use of facial recognition in the United States public sector has received a great deal of press lately, and most of it isn't positive. There's a lot of concern over how state and federal government agencies are using this technology and how the resulting biometric data will be used. Many fear that the use of this technology will lead to a Big Brother state. Unfortunately, these concerns are not without merit. We're already seeing damaging results where this technology is prevalent in countries like China, Singapore, and even the United Kingdom where London authorities recently fined a man for disorderly conduct for covering his face to avoid surveillance on the streets.

Glitches, bandwidth plagued a now defunct pilot of Amazon's facial recognition software in Orlando

Daily Mail - Science & tech

A police department in Orlando has terminated its trial of Amazon's AI-powered facial recognition for the second time, citing costs and complexity. According to a report from Orlando Weekly, the department ended its trial of the technology, called Rekognition, after 15 months of glitches and concerns over whether the technology was actually working. 'At this time, the city was not able to dedicate the resources to the pilot to enable us to make any noticeable progress toward completing the needed configuration and testing,' Orlando's Chief Administrative Office said in a memo to City Council, as reported by Orlando Weekly. A police department in Orlando has ended its pilot of Amazon's facial recognition software after being unable to get its system working properly. The decision marks the second time in just 10 months that the department decided not to proceed with using the technology.

2019 Conference on Machine Intelligence in Medical Imaging - Society for Imaging Informatics in Medicine


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Clara Medical Imaging is a collection of developer toolkits built on NVIDIA's compute platform aimed at accelerating compute, artificial intelligence, and advanced visualization. Medical imaging industry is being transformed. A decade ago, the earliest applications to take advantage of GPU computing were image & signal processing applications. Today, GPUs are found in almost all imaging modalities, including CT, MRI, X-ray, and Ultrasound bringing more compute capabilities to the edge devices. Deep Learning research in Medical Imaging is also booming with more efficient and improved approaches being developed to enable AI-assisted workflows.Today, most of this AI research is being done in isolation and with limited datasets which may lead to overly simplified models.


USATODAY - Tech Top Stories

Want to keep an eye out for porch pirates? Or perhaps you're seeking a simpler way to see who is at your front door without having to get off the couch? Smart doorbells are still fairly new to the world of home security, and the market is becoming more and more saturated with options by the minute. This begs the question: How do you know which one is right for you and your home? I've been living with the Ring Video Doorbell Pro for about a year and a half now.

Companies use OKCupid photos, social media to train face recognition

Daily Mail - Science & tech

With images aggregated from social media platforms, dating sites, or even CCTV footage of a trip to the local coffee shop, companies could be using your face to train a sophisticated facial recognition software. As reported by the New York Times, among the sometimes massive data sets that researchers use to teach artificially intelligent software to recognize faces is a database collected by Stanford researchers called Brainwash. More than 10,000 images of customers at a cafe in San Francisco were collected in 2014 without their knowledge. OKCupid and photo-sharing platforms like Flickr are among for researchers looking to load their databases up with images that help train facial recognition software. That same database was then made available to other academics, including some in China at the National University of Defense Technology.

Emergent artificial intelligence (AI) in agriculture - Technology Times


Artificial intelligence belongs to the development of computer systems able to act as the human mind, such as visual perception, speech recognition, decision making, and translation between the languages. The predictions are made that the global population will reach about10 billion people in 2050, enhanced agriculture production to meet the food demands in need of the hour which is about the 70% increase in food production. Farm enterprise needs new and advanced technologies to overcome these challenges. By using artificial intelligence we can overcome these demands. Just imagine what will happen if the farm is under the control of such machinery which acts like humans and store information like human accurately and efficiently.