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Senior Machine Learning / Computer Vision Engineer

#artificialintelligence

Glass Imaging is looking for a Senior Deep Learning / Computer Vision Algorithms Engineer, to work on advanced problems in computational photography. You would be responsible for bringing the latest cutting edge Computer Vision models into production on embedded devices and smartphones, from investigating, developing and training Deep Learning models and algorithms, to optimizing them for high throughput real time imaging applications. Founded by former Apple Engineers who brought you Portrait Mode and other iPhone camera features, Glass is building the future of miniaturized imaging that delivers astonishing image quality and user experience. You'd be joining a unique team of creative and enthusiastic engineers with a passion and track record for revolutionizing the world of photography. We are a funded early-stage startup with great benefits (including stock options, competitive pay and health insurance), a small (but growing) and friendly team.


The Role of Social Movements, Coalitions, and Workers in Resisting Harmful Artificial Intelligence and Contributing to the Development of Responsible AI

arXiv.org Artificial Intelligence

There is mounting public concern over the influence that AI based systems has in our society. Coalitions in all sectors are acting worldwide to resist hamful applications of AI. From indigenous people addressing the lack of reliable data, to smart city stakeholders, to students protesting the academic relationships with sex trafficker and MIT donor Jeffery Epstein, the questionable ethics and values of those heavily investing in and profiting from AI are under global scrutiny. There are biased, wrongful, and disturbing assumptions embedded in AI algorithms that could get locked in without intervention. Our best human judgment is needed to contain AI's harmful impact. Perhaps one of the greatest contributions of AI will be to make us ultimately understand how important human wisdom truly is in life on earth.


Computer Vision Researcher

#artificialintelligence

Team Description: Our Computer Vision team is a leader in the creation of cutting-edge algorithms and software for automated image and video analysis. Our solutions embrace deep learning and add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We understand the difficulties in extracting, interpreting, and utilizing information across images, video, metadata, and text, and we recognize the need for robust, affordable solutions. We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platforms, such as Kitware Image and Video Exploitation and Retrieval (KWIVER) toolkit. Researchers at Kitware enjoy support and encouragement for participation in national and international conferences (such as CVPR, ICCV, ECCV, WACV, and AAAI); and encouragement to seek funding to grow and develop their own research areas, if they desire.


Full Stack Web Developer - Computer Vision

#artificialintelligence

Team Description: Our computer vision team is a leader in the creation of cutting-edge algorithms and software for automated image and video analysis. Our solutions embrace deep learning and add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We understand the difficulties in extracting, interpreting, and utilizing information across images, video, metadata, and text, and we recognize the need for robust, affordable solutions. We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platform, the Kitware Image and Video Exploitation and Retrieval (KWIVER) toolkit. About the projects:Kitware's employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations.


A Wave Of Billion-Dollar Computer Vision Startups Is Coming

#artificialintelligence

The ability to automate human sight is opening up massive opportunities for value creation across ... [ ] every sector of the economy. Computer vision is the most technologically mature field in modern artificial intelligence. This is about to translate into enormous commercial value creation. The deep learning revolution has its roots in computer vision. At the now-historic 2012 ImageNet competition, Geoff Hinton and team debuted a neural network--a novel architecture at the time--whose performance eclipsed all previous efforts at computer-based image recognition. The era of deep learning was born, with computer vision as its original use case.


A Wave Of Billion-Dollar Computer Vision Startups Is Coming

#artificialintelligence

The ability to automate human sight is opening up massive opportunities for value creation across ... [ ] every sector of the economy. Computer vision is the most technologically mature field in modern artificial intelligence. This is about to translate into enormous commercial value creation. The deep learning revolution has its roots in computer vision. At the now-historic 2012 ImageNet competition, Geoff Hinton and team debuted a neural network--a novel architecture at the time--whose performance eclipsed all previous efforts at computer-based image recognition. The era of deep learning was born, with computer vision as its original use case.


Top 100 Artificial Intelligence Companies in the World

#artificialintelligence

Artificial Intelligence (AI) is not just a buzzword, but a crucial part of the technology landscape. AI is changing every industry and business function, which results in increased interest in its applications, subdomains and related fields. This makes AI companies the top leaders driving the technology swift. AI helps us to optimise and automate crucial business processes, gather essential data and transform the world, one step at a time. From Google and Amazon to Apple and Microsoft, every major tech company is dedicating resources to breakthroughs in artificial intelligence. As big enterprises are busy acquiring or merging with other emerging inventions, small AI companies are also working hard to develop their own intelligent technology and services. By leveraging artificial intelligence, organizations get an innovative edge in the digital age. AI consults are also working to provide companies with expertise that can help them grow. In this digital era, AI is also a significant place for investment. AI companies are constantly developing the latest products to provide the simplest solutions. Henceforth, Analytics Insight brings you the list of top 100 AI companies that are leading the technology drive towards a better tomorrow. AEye develops advanced vision hardware, software, and algorithms that act as the eyes and visual cortex of autonomous vehicles. AEye is an artificial perception pioneer and creator of iDAR, a new form of intelligent data collection that acts as the eyes and visual cortex of autonomous vehicles. Since its demonstration of its solid state LiDAR scanner in 2013, AEye has pioneered breakthroughs in intelligent sensing. Their mission was to acquire the most information with the fewest ones and zeros. This would allow AEye to drive the automotive industry into the next realm of autonomy. Algorithmia invented the AI Layer.


Computer Vision -- An Introduction

#artificialintelligence

In the previous blog, I discussed Visual Perception and its both biological and computational aspects. This blog is specifically about computational Visual Perception, also known as Computer Vision. Computer vision has been around for more than 50 years, but recently, we see a major resurgence of interest in how machines'see' and how computer vision can be used to build products for consumers and businesses. The key driving factor behind all these is Computer Vision. In the simplest terms, Computer Vision is the discipline under a broad area of Artificial Intelligence which teaches machines to see.


TechSee: next-generation customer experience through computer vision AI & AR Digital Insurance Agenda The must-see Insurtech event

#artificialintelligence

TechSee provides a visual engagement platform powered by deep learning and computer vision, enabling the auto-recognition of devices and issues in order to offer proven resolutions. Customers receive precise AR visual guidance in both assisted service and self-service modes at every stage of the journey, from sales, registration and onboarding to claims and upsell. They serve tier 1 companies and global groups in 24 markets around the world, including leading P&C insurers, telecoms and consumer electronics manufacturers. The Israeli startup was founded to help businesses better support their operations from all perspectives: customers, contact center agents, field technicians, and self-service channels. Over two decades of experience across CX technologies, visual computing, augmented reality, and big data enables TechSee to follow through on this commitment.


Computer Vision Advantage in Insurance - Get the eBook

#artificialintelligence

TechSee, the leaders in intelligent visual engagement, are pleased to present a new eBook. It explores the computer vision advantage in insurance, especially in terms of claims processing. Artificial intelligence is already deeply embedded in insurance processes. A 2017 study reports that the insurance industry has invested $124 million in AI, compared to an average of $70 million invested by other industries. According to McKinsey's Insurance 2030 Report, the new wave of deep learning techniques will help the insurance sector shift from its current state of "detect and repair" to "predict and prevent."