Everyone knows about the giant skills gap that is haunting the IT sector worldwide. According to IoT company PTC, it is estimated that in the next ten years more than two million IT and communication jobs will be unfulfilled. To address this, several universities have come up with degrees that address the different skills needed in the IoT market, including user interfaces, networks, artificial intelligence, networking, and others. CBR lists ten courses being taught in the UK institutions. Offering both a full time or part time (12 and 24 months respectively) course, University of London's Royal Holloway has built a degree based on computer science, technology and engineering.

A group of Brigham Young University computer engineering students, led by professor D.J. Lee, created a foosball table that is controlled by artificial intelligence. The goal of the undergraduate students was to create a robotic, vision-controlled table that could compete with humans. The project was a success--now the students are having a hard time beating the artificial intelligence.

A group of computer engineering students at BYU spent this past semester creating a robotic, computer-controlled foosball table with the goal of beating a human foosball player. Turns out their project was a success. The software they created tracks the ball from a camera placed above the table, and the computer then controls the rods where the plastic players are attached. It anticipates, kicks and even scores. The artificial intelligence is a little too good.

Advanced cyber-learning environments that involve virtual reality and artificial intelligence innovations are becoming powerful tools that can facilitate the explorations and conversations needed to solve society's challenges,

For people living in a world without sound, sign language can make sure their points of view are heard. But outside of the deaf and hard-of-hearing communities, this gesture-based language can lose its meaning. Now a pair of entrepreneurial technology students in the US has designed a pair of gloves to break down the communication barriers, by translating hand gestures into speech. US inventors have designed a pair of gloves, called'SignAloud', which translate the gestures of sign language to spoken English. The gloves (pictured) use embedded sensors to monitor the position and movement of the user's hands, while a central computer analyses the data and converts gestures to speech Called'SignAloud', the gloves use embedded sensors to monitor the position and movement of the user's hands.

These are external obstacles whereby the educator places blame for resisting change or engaging in a growth mindset outside of one's own responsibility. The result is a fixed mindset of learned helplessness, "I cannot change because the system won't let me change." Sometimes educators are creating some obstacles for themselves that in reality don't exist.

This article is an effort to make you into a "semi-expert" in artificial intelligence, cognitive computing, deep learning and neural networks from scratch. Here I will share a few cool learning resources for these topics. These resources include documentaries, TED talks, online lecture videos, and books. There are several videos and online books included in this post to help you learn these concepts. These resources vary from introductory to advanced learning.

American Academy of Arts and Sciences welcomes Carnegie Mellon's Tom Mitchell On Wednesday, April 20, the American Academy of Arts and Sciences (AAAS) announced its 2016 member class, which included Tom Mitchell, a member of Carnegie Mellon's Machine Learning Department. Mitchell has been with Carnegie Mellon since 1986 and was named Fredkin University Professor of Artificial Intelligence and Machine Learning. Mitchell also served for 10 years as the founding head of the Machine Learning Department. His research focuses on learning algorithms, with particular interest in analyzing MRIs to model brain cognition. In addition to his new membership in the AAAS, he has also been elected fellow of the American Association for the Advancement of Science, and served for two years as President of the Association for the Advancement of Artificial Intelligence.

Coursera Statistics, Making Sense of Data: A applied Statistics course that teaches the complete pipeline of statistical analysis MIT: Statistical Thinking and Data Analysis: Introduction to probability, sampling, regression, common distributions, and inference. While R is the de facto standard for performing statistical analysis, it has quite a high learning curve and there are other areas of data science for which it is not well suited. To avoid learning a new language for a specific problem domain, we recommend trying to perform the exercises of these courses with Python and its numerous statistical libraries. You will find that much of the functionality of R can be replicated with NumPy, @SciPy, @Matplotlib, and @Python Data Analysis Library Books Well-written books can be a great reference (and supplement) to these courses, and also provide a more independent learning experience. These may be useful if you already have some knowledge of the subject or just need to fill in some gaps in your understanding: O'Reilly Think Stats: An Introduction to Probability and Statistics for Python programmers Introduction to Probability: Textbook for Berkeley's Stats 134 class, an introductory treatment of probability with complementary exercises.

Click to learn more about Yefim (Jeff) Zhuk. Collaboration between people and groups seems to be a thing with a positive sign, although we know how difficult this can be. Distributed knowledge and process systems [9] "allows involved parties, people and companies, negotiate multiple forms of collaboration online while sharing data and services." Collaborative security of service groups is different from a single service security. Simultaneous activity of many services, working on a common task, requires collaborative decision making.