Autonomous vehicle development is a time and resource-intensive business, requiring dozens of test vehicles, thousands of hours of data collection and millions of miles of driving to hone the artificial brains of the cars of tomorrow. What if you could do most of that in the cloud? That's the question Nvidia hopes to answer with the release of its Nvidia Drive Constellation testing platform for self-driving cars. The announcement came during the keynote address at Nvidia's 2019 GPU Technology Conference in San Jose Monday. Drive Constellation is, basically, a simulation and validation platform that allows automakers and developers to test their autonomous vehicles and technologies in a virtual environment that lives in a specially-designed cloud server.
Access to skilled workers is already a key factor that sets successful companies apart from failing ones. In an increasingly data-driven future - the European Commission believes there could be as many as 756,000 unfilled jobs in the European ICT sector by 2020 - this difference will become even more acute. Skills gaps across all industries are poised to grow in the Fourth Industrial Revolution. Rapid advances in artificial intelligence (AI), robotics and other emerging technologies are happening in ever shorter cycles, changing the very nature of the jobs that need to be done - and the skills needed to do them - faster than ever before. At least 133 million new roles generated as a result of the new division of labour between humans, machines and algorithms may emerge globally by 2022, according to the World Economic Forum.
Tensorflow, Tensorlab, Deep Tensorized Networks, Tensorized LSTMs… it's no surprise that the word "tensor" is embedded in the names of many machine learning technologies. And how do they relate to machine learning? In part one of Quick ML Concepts, I aim to provide a short yet concise summary of what tensors are. Don't let the word "tensor" scare you. It is nothing more than a simple mathematical concept.
On Feb 27, 2019 at the "New Era, New Education, and Creating the Future" conference in Shanghai organized by the iTutorGroup, announced that Sophia the Robot is their new ambassador and future AI tutor. A new strategic partnership with Hanson Robotics was also announced at the same time. At the "New Era, New Education, and Creating the Future" conference, CEO Dr. Eric Yang delivered these key messages: Conference attendees included a group of teachers and students from a primary school that iTutorGroup donated RMB 500,000. Toby, one of the iTutorGroup's students and recent speech contest winner, appeared on stage and had a fun chat with Sophia. Founded in 1998, and led by Dr. Eric Yang, Founder, Chairman, and CEO, the iTutorGroup offers a range of e-learning solutions for adults and K-12 including TutorABC, vipJr, vipABC, TutorJr and TutorMing.
The use of artificial intelligence (AI) is spreading like wildfire. Not because it's state-of-the-art technology, but because it comes with plenty of valuable benefits. Adopting AI goes far beyond following a trend that boosts your business for a while before a new trend comes along. AI is here to stay, and it's only going to become more advanced and beneficial. According to AI research by MIT Sloan Management Review, 85% of executives believe that AI can help them gain or sustain competitive advantage.
The course "Machine Learning Basics: Building a Regression model in R" teaches you all the steps of creating a Linear Regression model, which is the most popular Machine Learning model, to solve business problems. Machine Learning is a field of computer science which gives the computer the ability to learn without being explicitly programmed. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. What is the Linear regression technique of Machine learning? Linear Regression is a simple machine learning model for regression problems, i.e., when the target variable is a real value.
It is not a news that India has an acute shortage of teachers at elementary, secondary and even at the higher levels of schools. According to the statistics given by the Human Resource & Development (HRD)Ministry of India in 2016, there is a shortage of 1 million teachers across the country. In case of Universities and Colleges, there is a chronic shortage of faculty and the problem of finding qualified people to fill this gap has become even more complicated. In such a scenario, how can India, a country which has the second largest population in the world would cope-up with the challenges of providing quality education to all. Several education experts are saying that our system needs a revolutionary technological intervention.
There is no doubt that artificial intelligence is revolutionising the world we live in today. In particular when it comes to makes big decisions in terms of life and death. With the help of artificial intelligence (AI), even the medical industry can take advantage of the technology and improve the health care system which is very intriguing and promising. There is huge interest in improving and developing machine learning technology for the medical industry in regards to improving machine errors and reducing human oversight. To look a bit closer to the advantages of such technology, here are some examples.
With strong roots in statistics, Machine Learning is becoming one of the most interesting and fast-paced computer science fields to work in. There's an endless supply of industries and applications machine learning can be applied to to make them more efficient and intelligent. Chat bots, spam filtering, ad serving, search engines, and fraud detection, are among just a few examples of how machine learning models underpin everyday life. Machine learning is what lets us find patterns and create mathematical models for things that would sometimes be impossible for humans to do. Unlike data science courses, which contain topics like exploratory data analysis, statistics, communication, and visualization techniques, machine learning courses focus on teaching only the machine learning algorithms, how they work mathematically, and how to utilize them in a programming language.
Searching for educational technology (edtech) can be overwhelming. The number of products available is daunting: for example, Apple's App Store contains more than 80,000 educational apps. And for educators, the decision has high-stakes implications for budgets and student learning. To assist in their search, some educators turn to online edtech product summaries. But it's hard for these summaries to keep up with the pace of technology development.