neural network


Cognitive Computing Market is growing at a High CAGR by 2027 – Saffron Technology, Cognitive Scale, Microsoft Corporation, Cold Light, Google, IBM, Palantir, Numenta, Vicarious, and Enterra Solutions - Market Research Scoop

#artificialintelligence

Industry Report "Cognitive Computing Market" provides a clear picture of the Current Market Scenario which includes past and estimated future size with respect to Value and Volume, Technological Advancement, Macro Economical and Governing Factors in the Cognitive Computing market. Cognitive Computing is defined as the technology based on the principle of artificial intelligence, signal processing, machine learning, and natural language processing (NLP) among others technology. It brings human like intelligence for a many business applications which will include big data. Cognitive Computing is a well-known technology basically specialized for processing and analyzing large and unstructured datasets. The major drivers of the cognitive computing market are the advancements in computing platforms like cloud, mobile, and big data analytics which will drive the growth of the market in the forecast period.


Cognitive Computing Technology Market Growth by Manufacturers, Market size, Regions, Type and Application, Forecast Analysis to 2024 - Flash News Daily

#artificialintelligence

If you are looking for most important details about the Cognitive Computing Technology market 2019, then you are at the perfect place, as here we have provided an in-depth detail regarding Global Cognitive Computing Technology market. The exploration report of Cognitive Computing Technology market is said to be a noteworthy improvement in a few creating market which impressively extending from the Cognitive Computing Technology advertise year 2019 to the year 2024 with a quick pace of advancement. Cognitive Computing Technology market report provides major statistics on the market condition of Cognitive Computing Technology and is a valuable source of guidance and guidance for companies and individuals interested in the industry. Reports classify markets in different sections depending on application, technique and end user.


Computer Vision / Machine Learning Engineer

#artificialintelligence

We have the largest annotated dataset for the construction industry ever assembled with all of its real world attributes: dirty, unexplored, and rich. This role is for you if you want hands-on experience with ML on image, speech, and video data. We are looking for someone excited to design, train, apply and evaluate the latest deep learning models on customer data within our cloud based research and production environments. The goal is to generate an automated assessment of job site safety risks and feed the data to a predictive pipeline that will help our clients better manage their workforce and ultimately save lives. Most of our programming is done in Python3 using AWS resources.


Computing students seek out applications of AI - BCIT News

#artificialintelligence

"Generative adversarial network" and "deep convolutional neural network": the terms sound daunting, but behind them lies potential for AI to positively impact human lives. The BCIT class of 2019 Artificial Intelligence and Machine Learning (AIML) Option students in the Computer Systems Technology Diploma program recently wrapped a year of specialty study with their project demos. Led by Option Head Dr. Chi En Huang, students took on public datasets from the City of Vancouver Open Data Portal, and chose an angle to tackle with AIML. They were tasked with developing a machine learning solution that could use the various datasets to answer questions, create meaning, form insights, and inspire action. "Defining a use case is the first step in a project like this, maybe also the hardest. That is, what can we try to gain from this data?"


All-in-one chips seen boosting computer power for artificial intelligence needs

#artificialintelligence

Researchers at the Technion-Israel Institute of Technology and Israeli chipmaker TowerJazz said they have developed a "revolutionary" technology that transforms a commercial flash memory chip into a device that contains both memory and computing ability. This will help provide the computing power needed for artificial intelligence-based applications, the researchers said. The new device enables the creation of a "hardware neural network" inspired by the operation of the human brain, and will "significantly" accelerate the operation of AI-based computing, the Technion said in a statement. Get The Start-Up Israel's Daily Start-Up by email and never miss our top stories Free Sign Up "We have made a big jump forward" with just a small change, Prof. Shahar Kvatinsky of the Andrew & Erna Viterbi Faculty of Electrical Engineering at the Technion, who led the project, said in a phone interview. "We have taken an existing commercial technology and made a small change, transforming it into something that is very much needed."


RPA & AI (UiPath and Machine Learning)

#artificialintelligence

Robotics Process Automation (RPA) is a technology that helps you in automating your business process. It is a technology which mimic human actions in interacting with digital system. To understand what's RPA in a more intuitive way: What can RPA do for you? UiPath is one of the top leaders which develops Robotics Process Automation platforms. By deploying RPA into your business process, it helps your business in reducing operation cost, eliminate human error and saving time.


How Deep Learning is Transforming the Insurance Industry - Appen

#artificialintelligence

Fraud detection is another important application for machine learning in insurance. With the amount of payment channels on the rise leading to rapid growth in the number of overall transactions occurring worldwide, machine learning algorithms are used to develop automated fraud screening systems that are faster and more accurate than systems that rely on transaction rules combined with human reviews. Machine learning distinguishes between normal and fraudulent behavior, and adapts over time based on variations of fraud patterns in the data. This is the true power of machine learning as compared to traditional analytics methods -- the ability to detect types of fraud that are similar but not identical to existing patterns, as well as the ability to spot completely new types of fraud altogether.


How Deep Learning is Transforming the Insurance Industry - Appen

#artificialintelligence

Fraud detection is another important application for machine learning in insurance. With the amount of payment channels on the rise leading to rapid growth in the number of overall transactions occurring worldwide, machine learning algorithms are used to develop automated fraud screening systems that are faster and more accurate than systems that rely on transaction rules combined with human reviews. Machine learning distinguishes between normal and fraudulent behavior, and adapts over time based on variations of fraud patterns in the data. This is the true power of machine learning as compared to traditional analytics methods -- the ability to detect types of fraud that are similar but not identical to existing patterns, as well as the ability to spot completely new types of fraud altogether.


Artificial Intelligence - How AI Took Over Our Lives in the 2010s

#artificialintelligence

Bots are a lot like humans: Some are cute. Some are annoying ... and a little racist. Bots serve their creators and society as helpers, spies, educators, servants, lab technicians, and artists. In the 2010s, automation got better, cheaper, and way less avoidable. That means driving directions are more reliable, instant translations are almost good enough, and everyone gets to be an adequate portrait photographer, all powered by artificial intelligence.


Nvidia researchers create AI renderer to create 3D from 2D

#artificialintelligence

Nvidia researchers have published a paper describing a rendering framework that can produce 3D objects from 2D images. Not only that, due to the power of machine learning and AI, the tech does a good job of predicting the correct shape, colour, texture and lighting of the real-life 3D objects. The research could have important impacts in machine vision with depth perception, for robotics, self driving cars, and more. The full research paper, typically dryly entitled Learning to Predict 3D Objects with an Interpolation-Based Renderer, is available as a PDF by clicking the link. A new rendering framework called DIB-R, a differentiable interpolation-based renderer, is the main topic of the paper.