Sentences with phrase «object recognition in»

OSA Hybrid Platform, the provider of AI - based Big Data service for the FMCG retail, that ensures on - shelf availability of goods in retail stores in the real - time and in optimum quantity, uses the services of Neuromation for object recognition in retail space.

And it appears that object recognition in the camera app will be an added mode that users can select.

Apart from the wider - aperture lens, the main innovation in the new Mate 10/10 Pro camera system is the Kirin 970 chipset's Neural Processing Unit (NPU), which performs real - time object recognition in order to fine - tune image settings.

Also, it's the first phone to support Google Lens the company's new system for object recognition in photos.

It aimed to take on Google Assistant as the company's new AI system, offering object recognition in the camera and aggregating news and important information into a central hub on the home screen.

James DiCarlo is a professor of neuroscience in the Department of Brain and Cognitive Sciences at MIT who researches visual object recognition in primates.

Not exact matches

-- Daniel Putterman, cofounder, co-CEO, and head of business for Kogniz, Inc. which recently released AICam, fully - autonomous surveillance cameras with artificial intelligence that identify people and threats in real - time, using video - based facial recognition and object detection; also having founded and run venture - backed technology companies over the last 20 years including MaxInfo, Inc. (acquired by NETM), EoExchange (S - 1), Mediabolic, Inc. (acquired by ROVI), and Cloud Engines, Inc..

«Everyone's still in the mode of copying what Apple did largely, and the 3 - D does have the effect of wiping out simple spoofs — you can't hold up a picture anymore and expect it to do anything,» says Kevin Bowyer, a University of Notre Dame professor who studies biometrics and object recognition.

Anil Jain, a Michigan State University professor who studies biometric recognition and computer vision, notes that it uses an existing tactic called structured light to capture your visage in three dimensions — something he employed for object recognition back in the 1980s.

«We use high - performance transactions systems, complex rendering and object caching, workflow and queuing systems, business intelligence and data analytics, machine learning and pattern recognition, neural networks and probabilistic decision making, and a wide variety of other techniques,» founder and CEO Jeff Bezos famously noted in a 2010 letter to shareholders.

Their techniques are being used for voice recognition, natural language processing, and detecting faces and objects in images.

We know this because damage to a preliminary stage can result, say, in a well - formed object (word, etc.) deprived of its meaning or recognition.

This condition results in the victim's inability to recognize faces, although recognition of other objects is not generally impaired.

This implies the recognition that subject - object knowledge fulfills its true function only in so far as it retains its symbolic quality of pointing back to the dialogical knowing from which it derives.

Generality and the recognition of different objects presuppose this form of memory, for both are initially based on an awareness of the likeness of bodily attitude or of a similarity of reactions in diverse situations.

The confusion between part and whole is not to be avoided by denying the reality of the parts but only by the acceptance of diversity and limitation and the corollary recognition that all the parts are equally related in the whole to the ultimate object of the Church.

Another is the recognition that it is inadequate and misleading to define the church and the Object on which it depends in terms of Jesus Christ alone.

The resulting confusion is similar to the one that appears in political life when a particular democratic society is made the object of a devotion that genuine democracy extends only to humanity, created free and endowed with natural rights prior to any recognition of these facts.

b) or the perceptual judgment may be wrong in holding that:»... the event which is the common situation of these associations of sense - objects, recognized or recognizable, is an active condition for these recognitions» (PNK 89).

Whitehead's recognition of this led him to note that some of the feelings he usually called conceptual prehensions (prehensions of eternal objects) are really hybrid prehensions (objectifications of an actual entity by an eternal object derived from its mental pole).46 In this way Whitehead moves in the direction of assimilating the relation of actual occasions to God to the relation of actual entities to each otheIn this way Whitehead moves in the direction of assimilating the relation of actual occasions to God to the relation of actual entities to each othein the direction of assimilating the relation of actual occasions to God to the relation of actual entities to each other.

This can also further the development of visual recognition, especially with three - dimensional objects which are quite common in everyday society.

Rather than tackle in detail the thorny problem of drawing a firm lines between selves and objects, the authors propose that a subject exists when there is the possibility of intersubjective recognition between us and that subject.

The prototype system has its flaws: its object - recognition software keeps track of the floor and walls but can not locate people or objects in three dimensions.

But while object recognition is one of the most widely studied topics in artificial intelligence, even the best object detectors still fail much of the time.

In a study testing novel object recognition and location, piglets interacted with these objects.

The study measured object recognition behavior in two ways, each of which reflects activity in a different part of the brain.

How precisely this recognition happens is still a mystery, in part because neurons that encode objects respond in complicated ways.

So you can do a lot of reasoning, a lot of recognition of objects, remembering names in just a few hundredths of a second.

C3Vision picks that up and applies it to pattern - recognition software, which in turn flips through thousands of other satellite images to cull suspect objects or movements on its own.

Computerized object - recognition programs will certainly play an important role in analyzing these data, but human volunteers are likely to remain integral.

Evolution has seen to it that the very act of searching for the hidden object is enjoyable, not just the final «aha» of recognition — lest you give up too early in the chase.

In the study, the researchers found when the objects» outlines had been enhanced, there was increased recognition.

Although the area that will become the VWFA does not respond preferentially to letters at age 5, Saygin says it is likely that the region is involved in some kind of high - level object recognition before it gets taken over for word recognition as a child learns to read.

In the late 1990s brain - imaging studies revealed that discrete regions of the temporal lobe — a section of the human brain important for object recognition — fired up more strongly when people looked at faces than at any other thing.

«As visual perception becomes less reliable,» the authors write, «tactile perception assumes a greater role in the recognition of object shape.»

Researchers at the University of Guadalajara, in Mexico, in collaboration with the University of the Republic in Uruguay designed a program of digital processing of 3D image from the projection and digitization of binary data that allows three - dimensional reconstruction of various objects in order to reproduce parts of classic automobiles, prehispanic antiques, as well as serving as a tool for face recognition.

The i - Mouse is a new user interface for smart glasses in which the gaze - image sensor (GIS) and object recognition processor (ORP) are stacked vertically to form a small chip.

Neuroscience researchers tell me I have normal object recognition and eyesight, but a severe deficit in face recognition.

The algorithm used by a computer model called the Boltzmann machine, invented by Geoffrey Hinton and Terry Sejnowski in 1983, appears particularly promising as a simple theoretical explanation of a number of brain processes, including development, memory formation, object and sound recognition, and the sleep - wake cycle.

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 needed.»

In a photo recognition application, for example, low - level neurons might recognize light from dark or the edges of objects.

The underlying technology is used in facial recognition and other types of image - based object recognition applications.

The what pathway is involved in object recognition and identification, whereas the how pathway directs how to attend to and interact with objects.

In future, the neural nets could be used for tasks including translation and object recognition.

Sorting out the tangle of physical senses and psychological expectations in species recognition will be the work of decades, but Kaplan and Miklósi made a start by looking at what it took for their test dogs to make a few basic distinctions: Is this object alive?

Because these networks are based on neuroscientists» current understanding of how the brain performs object recognition, the success of the latest networks suggest that neuroscientists have a fairly accurate grasp of how object recognition works, says James DiCarlo, a professor of neuroscience and head of MIT's Department of Brain and Cognitive Sciences and the senior author of a paper describing the study in the Dec. 11 issue of the journal PLoS Computational Biology.

The hippocampus, a brain structure known to play a role in memory and spatial navigation, is essential to one's ability to recognize previously encountered events, objects, or people — a phenomenon known as recognition memory — according to new research from the departments of Neurosurgery and Psychology in the Perelman School of Medicine at the University of Pennsylvania.

In two separate novel - object recognition tests, the CA2 - deficient mice showed a normal preference for an object they had not previously encountered, showing that the mice did not have a global lack of interest in noveltIn two separate novel - object recognition tests, the CA2 - deficient mice showed a normal preference for an object they had not previously encountered, showing that the mice did not have a global lack of interest in noveltin novelty.

In recognition of Dr. Kodama's work for devising and demonstrating optoelectronics methods which permit solid objects to be constructed from digital data and Dr. Hull's contribution in developing, commercialising and naming one such method «stereolithography»In recognition of Dr. Kodama's work for devising and demonstrating optoelectronics methods which permit solid objects to be constructed from digital data and Dr. Hull's contribution in developing, commercialising and naming one such method «stereolithography»in developing, commercialising and naming one such method «stereolithography».

That led to a whole new picture of how the part of the brain that's involved in object recognition is organized.