Компьютеры научатся видетьЗрение че

Компьютеры научатся видеть
Зрение человека работает совместно с мозгом, благодаря этому люди могут распознавать объекты, лица других людей, различные места и даже воображать несуществующие вещи.
Компания Vicarious считает, что способна сымитировать мозг и создать программы, которые также будут способны на такое.
Vicarious надеется объединить неврологию и компьютеры, чтобы создать визуальную систему восприятия, повторяющую в своей структуре кору головного мозга. Идея "компьютерной нейронной сети" — программы которая способна имитировать работу мозга, создавая соединение между искуственными нейронами — была на слуху в течение десятилетий. Но специалисты Vicarious заявляют, что именно они воплотят ее в жизнь благодаря продвинутым наработкам, основанным на разработанных в течение этого времени методах, сообщает Technology Review.
Сооснователь проекта Дилип Джордж, который ранее занимал пост главного директора по технология в компании Numenta, заявляет что все остальные разработчики "нейронных соединений" основывали свои проекты на модели "неокогнитрон", которая впервые была предложена в 1980 году. Обычно эти системы обучали распозновать визуальные образы, используя случайные статичные изображения. По словам Джорджа, Vicarious использует более сложную архитектуру — обучается при помощи видео-потока, который изменяется с течением времени.
Vicarious надеется разработать и запустить в продажу систему в течение нескольких лет. Сооснователь Скот Феникс верит, что у системы может быть большое количество применений. К примеру, в медицине: оборудованный новой технологией компьютер может анализировать диагностические фотографии, чтобы определить, есть ли у пациента рак. Другой пример: оборудованный программой смартфон сможет по фотографии тарелки с едой определить, сколько в ней калорий. "Компьютерная система визуального восприятия преобразует практически все виды деятельности, которыми занимается человек", — добавляет он.
Феникс отмечает, что программа Vicarious способна обучаться, просматривая изображения объектов, и формировать общие критерии определения предметов. Это означает, что система достаточно умна, чтобы идентифицировать объект, информация о котором неполная. К примеру, он опознает, что рука — это рука, даже если она измазана в краске или ее часть скрыта наручными часами."
Vicarious держит подробности технологии в тайне, однако ее разработка все равно пробудила интерес некоторых инвесторов. В прошлом месяце компания получила 15 миллионов долларов от венчурного фонда, в котором участвует и соучредитель Facebook Дастин Московиц.

Results (English) 1:

Computers learn to seeHuman vision works in conjunction with the brain, thanks to this people can recognize objects, faces of other people, places and even imagine non-existent things. Company Vicarious believes that could simulate the brain and create a program that would also be capable of that.Vicarious hopes to combine the Neurology and computers to create a visual perceptual system follows the structure of the cerebral cortex. The idea of "computer network", a program which is able to simulate the brain, creating a link between artificial neurons, has been heard for decades. But experts say that it is Destroying, they embody it in life thanks to advanced know-how, based on developed during this time, methods, Technology Review reports.Project co-founder Dileep George, who previously served as Chief Technology Officer at the company Numenta, declares that all other developers "neural connections" based their designs on the model "neocognitron", which was first proposed in 1980 year. Typically, these systems were taught to recognise Visual images with random static images. According to George, a Vicarious uses a more complex architecture is taught using the video stream that changes over time.Vicarious hopes to develop and launch the sale system for several years. Co-founder Scott Phoenix believes that the system might be a large number of applications. For example, in medicine: equipped with the new technology of computer can analyze diagnostic photographs, to determine whether the patient has cancer. Another example: a program can photography Smartphone plates of food to determine how many calories in it. "The computer system of visual perception Converts virtually all of the activities carried out by people",-he added.Phoenix said that the program is able to learn through Vicarious image objects, and create common criteria for identifying items. This means that the system is smart enough to identify the object, which is incomplete. For example, it recognizes that the hand is a hand, even if she izmazana in paint or part hidden wristwatch. "Vicarious keeps the details secret technology, but it still aroused the interest of some investors. Last month the company received 15 million dollars from venture fund, involving Facebook and co-founder Dustin Moskovitz.

Results (English) 2:

Computers learn to see the
human vision works in conjunction with the brain, because of this people can recognize objects, other people's faces, different places and even to imagine non-existent things.
Vicarious Company believes that it is able to simulate the brain and create a program that will also be capable of such.
Vicarious hopes combine neurology and computers to create a visual perception system, its structure is repeated in the cerebral cortex. The idea of "a computer neural network" - a program that is able to simulate the brain, creating a connection between neurons with artificial - was at the hearing for decades. But experts Vicarious claim that they put it into practice because of the advanced achievements, based on the developed methods during this time, reports Technology Review.
Project co-founder Dilip George, who previously served as chief technology officer for the company Numenta, declares that all the others developers "neural connections" based their designs on the model "neocognitron", which was first proposed in 1980. Typically, these systems are trained Edge separation visuals using random static images. According to George, Vicarious uses a more complex architecture - trained with the help of a video stream that changes over time.
Vicarious hopes to develop and run the system in the market for several years. Co-founder Scott Phoenix believes that the system can be a large number of applications. For example, in medicine: a computer equipped with the new technology can analyze diagnostic images to determine whether a patient has cancer. Another example is equipped with a smart phone software will be able to photograph plates of food to determine how many calories in it. "The computer system of visual perception converts almost all activities of concern to people," - he adds.
Phoenix says that the program is able to learn Vicarious, displaying images of objects, and create common criteria for the identification of objects. This means that the system is smart enough to identify the object whose information is incomplete. For example, he recognizes that the hand - a hand, even if it is smeared in paint or a portion hidden wristwatch. "
Vicarious technology keeps the details secret, but its development is still aroused the interest of some investors. Last month, the company received 15 million dollars from venture capital fund, which participates and co-founder Dustin Moskovitz Facebook.

Results (English) 3:

Learn to see people
computer vision and brain through this work, people can recognize different objects, and others who, even imagine something that does not exist.
The company believes that Vicarious, the brain can imitate and create a program, also in the hope.
Vicarious combined with nerve and computer visual perception system, create,The structure of the state, from the first part, are from and cerebral cortex elixir elixir. "Computer network" the idea of being able to mimic the brain's working procedure,The coupling between neurons is produced in energy-saving and energy-saving society has had C allus told me to dozens of years. But experts Vicarious said, they are advanced through her in their life from the alpha, alpha kappa alpha, c o m,The method developed in this period of time based on reports, Founder Technology Review ".
Dileep project George, served as chief technology officer Numenta,