"What exactly is computer vision then? Computer vision is a research field working to equip computers with the ability to process and understand visual data, as sighted humans can. Human brains process the gigabytes of data passing through our eyes every second and translate that data into sight - that is, into discrete objects and entities we can recognise or understand. Similarly, computer vision aims to give computers the ability to understand what they are seeing, and act intelligently on that knowledge."
– Computer vision: Cheat Sheet. ZDNet.com (December 6, 2011), by Natasha Lomas.
The field of neuromarketing is still in its infancy, but it's growing fast as the ability to track and monitor consumer brain activity becomes more widespread. While American companies have been pioneers in this field, many European businesses are just now starting to hop on board with neuromarketing research techniques. This article will serve as a quick guide for companies looking to implement neuromarketing principles and tactics into their marketing research endeavors. Neuromarketing is the study of human brain activity that is triggered by exposure to stimuli in marketing research. This could include exposing participants to products, websites, advertisements, or packaging in order to determine how each stimulus elicits a physical or emotional response.
SAN JOSE, Calif., July 29, 2021--(BUSINESS WIRE)--Velodyne Lidar, Inc. (Nasdaq: VLDR, VLDRW) today announced a new software development kit which allows customers to utilize the advanced capabilities of Velodyne's Vella lidar perception software in their autonomous solutions. The Vella Development Kit (VDK) enables companies to accelerate time to market for bringing cutting-edge lidar capabilities to autonomous vehicles, advanced driver assistance systems (ADAS), mobile delivery devices, industrial robotics, drones and more. This press release features multimedia. The Vella Development Kit (VDK) from Velodyne Lidar allows customers to use the advanced capabilities of Vella lidar perception software in autonomous solutions. VDK enables companies to accelerate time to market for bringing cutting-edge lidar capabilities to autonomous vehicles, advanced driver assistance systems (ADAS), mobile delivery devices, industrial robotics, drones and more.
'Phrenology' has an old-fashioned ring to it. It sounds like it belongs in a history book, filed somewhere between bloodletting and velocipedes. We'd like to think that judging people's worth based on the size and shape of their skull is a practice that's well behind us. However, phrenology is once again rearing its lumpy head. In recent years, machine-learning algorithms have promised governments and private companies the power to glean all sorts of information from people's appearance.
Clarifai is a leading, full-lifecycle deep learning AI platform for computer vision and natural language processing. We help organizations transform unstructured images, video, and text data into structured data at a significantly faster and more accurate rate than humans would be able to do on their own. Founded in 2013 by Matt Zeiler, Ph.D. Clarifai has been a market leader in AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai continues to grow with employees remotely based throughout the United States and in Tallinn, Estonia. We have secured $40M in funding up to date, backed by Menlo Ventures, Google Ventures, USV, NVIDIA, Qualcomm, Osage, Lux Capital, LDV Capital, and Corazon Capital.
Artificial Intelligence is increasingly underlying the systems and processes that we interact with on a daily basis. While this has benefits such as improved efficiency, increased capacity, and the ability to institute more sophisticated applications, it can also be a double-edged sword. Code is unbiased, but the people who create it are not, and their unconscious biases can inform that code and everything that it interacts with. HANGZHOU, CHINA - MARCH 03: A woman wearing a face mask uses a face recognition system to enter a ... [ ] residence amid novel coronavirus outbreak on March 3, 2020 in Hangzhou, Zhejiang Province of China. This is true of every product.
You might've heard about face recognition and its different applications. A face recognition system can identify people in videos or static images to put it in simple terms. Many fields use the technology for surveillance and tracking people. Some countries are using face recognition systems more widely than others. But while you may hear about it more frequently now, the technology has been in existence for decades.
In 1920, Serbian-born inventor Nikola Tesla designed and patented what he called a "valvular conduit": a pipe whose internal design ensures that fluid will flow in one preferred direction, with no need for moving parts, making it ideal for microfluidics applications, among other uses. According to a recent paper published in the Proceedings of the Royal Society B, the Tesla valve also provides a useful model for how food moves through the digestive system of many species of shark. Based on new CT scans of shark intestines, scientists have concluded that the intestines are naturally occurring Tesla valves. This story originally appeared on Ars Technica, a trusted source for technology news, tech policy analysis, reviews, and more. Ars is owned by WIRED's parent company, Condé Nast.
But Beijing has become alarmed at the growing power of Big Tech -- including the risk that personal information of senior officials could leak overseas -- and has moved this year to rein in China's Internet giants. This included derailing the IPO plans of mobile payment titan Ant Group, launching a probe into Didi Chuxing, the Chinese equivalent of Uber, and a ban on the country's lucrative online, for-profit tutoring services for students.
SAN MATEO, Calif., July 29, 2021 (GLOBE NEWSWIRE) -- Chooch AI, the leading computer vision AI platform, has been cited for accelerating adoption of computer vision–powered solutions across industry verticals by leading research company IDC. Chooch AI models are ready to deploy now both in the cloud and on edge devices. Clients include Fortune 500 companies and the US Government. Partners include NVIDIA, Intel, Dell, Deloitte, Convergint and Vantiq. IDC states that, "Chooch AI's horizontal- and vertical-agnostic platform supports rapid data set generation capabilities using machine labeling techniques such as smart annotation, data augmentation, and use of synthetic data, along with pretrained ready-to-use models. They believe this will accelerate adoption and time to value computer vision–powered solutions across industry verticals."
You may not be noticing it much on your television, smartphone or tablet screens, but the TV coverage of the Tokyo 2020 Olympics (which of course are being held in 2021 due to the COVID-19 pandemic) are infused with big data and AI to an extent never before experienced in the history of the Olympic games. It's been 53 years since the Olympics officially adopted electronic time-keeping equipment to track racers in Olympic events. Omega's Magic Eye camera, which debuted in 1948, gave us the first of many "photo finishes" for track events, and was soon adopted in other events as well. Now the technology is cranking up a notch in the Tokyo 2020 Olympics (which perhaps should have been called the 2021 games), and Omega is again behind much of it. For example, Omega, which is the official timekeeper for 35 Olympic sports, is using cameras equipped with computer vision capabilities to track the movement of beach volleyball players, as well as the ball in play.