Sentences with phrase «with computer vision»

Along with computer vision, Pichai gave an update on Google's speech - recognition capabilities, which now has a word error rate of 4.9 percent.

«Since the start of this year we were thinking about exploring our opportunities in terms of how to earn money in an efficient way, and we decided to go where we can help companies with computer vision or AI — in terms of more consumer - oriented applications,» Moiseenkov tells TechCrunch.

Perhaps Google could release its own smart speaker with computer vision to compete with Alexa's new Echo Look.

The Algorithmic Warfare Cross-Functional Team — as Project Maven is also known — has been tasked with providing the military with computer vision algorithms for better detecting and classifying objects in drone footage.

They can pick up a pliable object and put it where it needs to go, all without having to identify the object with computer vision systems, or any kind of pre-programming.

By combining sophisticated sensors with computer vision technology, the Lighthouse team hopes to deliver an experience that brings more day - to - day value than a mere home security solution.

With computer vision, widely available aerial and street view imagery can be used to extract information about the scene.

Paperlike Pro by DASUNG is the solution for people with Computer Vision Syndrome (CVS) as it displays information the same way a Kindle does, with no harsh back light.

Itseez3D, the first app to partner with computer vision technology company Occipital, can turn any picture you take with your iOS camera into a 3D object...

It would be relief for all people with Computer Vision Syndrome.

Social behaviors can be assessed with computer vision in mouse models of disease in a home cage environment T. HANANIA, P. KABITZKE, M. MAZELLA, I. FILIPOV, V. ALEXANDROV, D. BRUNNER... Abstract / Posters

The researchers will call on their extensive experience with computer vision to match and combine images of the same area from several cameras, identify objects and track objects and people from place to place.

Not exact matches

Now Google (goog) wants to take Movidius's expertise in computer vision and combine that with machine learning to create mobile phones that can presumably «see» and learn to recognize the world around them without having to rely on pattern matching.

Movidius earlier this year inked a deal with Google (goog) to supply chips for the U.S. giant's mobile computer vision efforts.

The search giant has been testing the Movidius Myriad first generation chips in its Project Tango computer vision and 3D mapping project and has now gone public with an order of the second generation product.

A superintelligent, computer - vision technology with machine - learning capabilities?

Schroepfer said that Facebook took 3.5 billion Instagram photos, adorned with people's hashtags to describe them, and was able to «produce state of the art results» on the popular ImageNet computer - vision benchmark, used by AI researchers as a gauge of their project's effectiveness compared to others.

Growth: In 2016, venture capital funding in computer vision reached $ 522 million across 69 deals globally, compared with $ 186 million across 47 deals in 2015 and $ 44 million across 15 deals in 2012, according to CB Insights.

Uber is expanding its Advanced Technologies Group (ATG) with a new office in Toronto, headed by local AI researcher Raquel Urtasun, a University of Toronto professor and the Canada Research Chair in Machine Learning and Computer Vision.

Israeli deep learning and computer vision company Allegro.ai has raised $ 7 million in a Series A financing round led by Mizmaa Ventures and with the participation of Robert Bosch Venture Capital, Samsung Catalyst Fund and Dynamic Loop Capital.

To make sense of all of this data, a new onboard computer with over 40 times the computing power of the previous generation runs the new Tesla - developed neural net for vision, sonar and radar processing software.

Announced in private preview at RSNA, Project InnerEye uses state - of - the - art machine learning and computer vision to turn medical images into measurement devices, to amplify a clinician's ability to personalize treatment, spend more time with their patients, and for hospitals to save costs.

The company's deep learning and computer vision platform is in the beta - site stage and Allegro.ai is already working with some large customers.

Through combining proprietary algorithms with leading computer vision techniques and advanced GPU computing, Ecopia has made groundbreaking improvements in geospatial analysis.

Computer vision, Virtual, Augmented and Mixed Reality combined with real time and contextual data are empowering industry to change how decisions are made.

Having Jeremy in the office allowed us to communicate ideas through out the project, and I am very impressed with Jeremy's computer skills and vision of equipment assembly.

Along with Shai Yagur, a leading mind in virtual motion and computer vision tracking technology, the two created what Timocco is today.

And all those educational apps and games that captivate the kids for hours can be causing headaches, fatigue, blurred vision, double vision, myopia and even computer vision syndrome if kids spend too much time with their technology.

«We are excited to continue building on his vision with the donation of these computers.»

That said, the work illustrates what can be achieved when computer vision is combined with machine learning, says John Daugman at the University of Cambridge Computer Labcomputer vision is combined with machine learning, says John Daugman at the University of Cambridge Computer LabComputer Laboratory.

Durre's mother typed her assignments and tests into the computer for 4 years, until the family moved to the United States and her school's vision - resource teacher was able to take over the job (which today would be accomplished with an optical scanner).

Likewise how we can integrate them with solutions that already exist for computer vision and pattern recognition, to tackle the high degrees of freedom 3D gesture analysis.

At the IEEE Conference on Computer Vision and Pattern Recognition this month, they'll present a new algorithm that can, with roughly 80 percent accuracy, determine whether a given snippet of video is playing backward or forward.

«Our game will be a fun computer based tool which will benefit children with visual field loss — holes in their vision due to damage to the brain's visual pathways.

The research — «Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression» — was led by PhD student Aaron Jackson and carried out with fellow PhD student Adrian Bulat both based in the Computer Vision Laboratory in the School of Computer Science.

As a scientific discipline, computer vision is concerned with the theory and technology for building artificial systems that obtain information from images or multi-dimensional data.

Funded by a Google Faculty Research Award, specialists in computer vision and machine learning based at the University of Lincoln, UK, are aiming to embed a smart vision system in mobile devices to help people with sight problems navigate unfamiliar indoor environments.

Using advanced computer vision tools, the researchers trained an artificial neural network (what's called a convolutional neural network) to determine - with 90 percent accuracy or more - the age, gender, and race of the candidates» followers using their Twitter photos.

Researchers had played around with thousands of virtual robots in computer simulations, but making that vision a reality was no simple task.

Deep neural networks (DNNs), which have been developed with reference to the network structures and the operational algorithms of the brain, have achieved notable success in a broad range of fields, including computer vision, in which they have produced results comparable to, and in some cases superior to, human experts.

In a paper accepted by the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), entitled «Image Captioning with Semantic Attention,» computer science professor Jiebo Luo and his colleagues define semantic attention as «the ability to provide a detailed, coherent description of semantically important objects that are needed exactly when they are neededComputer Vision and Pattern Recognition (CVPR), entitled «Image Captioning with Semantic Attention,» computer science professor Jiebo Luo and his colleagues define semantic attention as «the ability to provide a detailed, coherent description of semantically important objects that are needed exactly when they are neededcomputer science professor Jiebo Luo and his colleagues define semantic attention as «the ability to provide a detailed, coherent description of semantically important objects that are needed exactly when they are needed.»

The plan is to find out if Microsoft's gaming sensor, combined with computer - vision algorithms trained to detect behavioural abnormalities, can be used to automate the early diagnosis of autism.

Carnegie Mellon researchers are also studying ways to apply computer vision to searches in a way that helps investigators identify images with similar elements — such as furniture from the same hotel room that appears in multiple images — even if the images themselves are not identical, says Jeff Schneider.

By studying video footage of children interacting with a psychiatrist, computer - vision algorithms learn to identify behavioural markers as designated on the Autism Observation Scale for Infants.

In the future this should be possible with electronics, according to the vision of computer scientists from Saarbrücken.

Researchers from the Institute of Medical Psychology and Department of Computer Sciences, Otto - von - Guericke - University of Magdeburg, and the Max Planck Institute for Dynamics and Self - Organisation, Goettingen, Germany, conducted a retrospective analysis of multiple visual field tests before and after at least six months of VRT in 32 stroke patients with hemianopia, which is a loss of vision in half of the visual field.

«Our goal is to use computer vision and artificial intelligence to create a digital field guide that will help people learn to recognize birds,» says Belhumeur, who launched Leafsnap, a similar electronic field guide for trees, with colleagues two years ago.

More importantly, the displays could one day aid people with more complex visual problems, known as high order aberrations, which can not be corrected by eyeglasses, said Brian Barsky, UC Berkeley professor of computer science and vision science, and affiliate professor of optometry.

Researchers of the Universitat Politècnica de València (UPV) have developed software to help reconstruct grape clusters with three - dimensional computer vision techniques.

Pinar Letzkus, a vision researcher at Australian National University, rewarded bees with sugar whenever they extended their tongue at the sight of a yellow rectangle on a computer screen.