Free Online AI course, Berkeley's CS 188, offered through edX. Free Online AI course, Berkeley's CS 188, offered through edX.

Ashok Goel, a professor in artificial intelligence at Georgia Tech, has developed a chatbot based on IBM's Watson to answer the estimated 10,000 questions students ask him and his colleagues each semester. The point is that he didn't tell his students they were talking to a chatbot, but instead to a teaching assistant called Jill Watson. Nobody discovered the ruse until he told them at the end of term: surprise all round, with some students saying they were going to nominate Jill Watson for best teaching assistant. I have been teaching for 26 years, and enjoyed almost every minute. I have also spent many hours answering questions online.

For centuries people have had a fascination for automatons. In the early industrial age automatons symbolized the humanization of machines, and today this extends into software and apps. Perhaps the most pronounced example of this are so-called "chat-bots." How do these machines work? A classic early automaton was the mechanical music box.

I'll perform linear regression from scratch in Python using a method called'Gradient Descent' to determine the relationship between student test scores & amount of hours studied. This will be about 50 lines of code and I'll deep dive into the math behind this. That's what keeps me going.

Prerequisites: No prerequisites, knowledge of some undergraduate level mathematics would help but is not mandatory. Working knowledge of Python would be helpful if you want to run the source code that is provided. Taught by a Stanford-educated, ex-Googler and an IIT, IIM - educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce. The course is shy but confident: It is authoritative, drawn from decades of practical experience -but shies away from needlessly complicating stuff.

Microsoft is buying a deep learning startup based in Montreal, a global hub for deep learning research. But two years ago, this startup wasn't based in Montreal, and it had nothing to do with deep learning. Which just goes to show: striking it big in the world of tech is all about being in the right place at the right time with the right idea. Sam Pasupalak and Kaheer Suleman founded Maluuba in 2011 as students at the University of Waterloo, about 400 miles from Montreal. The company's name is an insider's nod to one of their undergraduate computer science classes.

When the world's smartest companies such as Microsoft, Google, Alphabet Inc., and Baidu are investing heavily in Artificial Intelligence (AI), the world is going to sit up and take notice. Chinese Internet giant Baidu spent USD1.5 billion on research and development. And as proof of China's strong focus on AI and Machine Learning, Sinovation Ventures, a venture capital firm, invested USD0.1 billion in "25 AI-related startups" in the last three years in China and the U.S. Research shows that although genuine intelligence may still be a bit far off, AI and Machine Learning technologies are still expected to reign in 2017. Try reading up on Microsoft Project Oxford, IBM Watson, Google Deep Mind, and Baidu Minwa, and you'll understand what I am trying to get at. In 2015, Gartner's Hype Cycle for Emerging Technologies introduced Machine Learning (ML), and the graph showed (Figure 1) that it would reach a plateau in 2 to 5 years.

Presented in invited talk on Artificial Intelligence and Education at Fourteenth National Conference on Artificial Intelligence (AAAI-97) and Ninth National Conference on Innovative Applications of Artificial Intelligence (IAAI-97), Providence, RI.

In April 2008 I wrote "Where Have All the Great Programmers Gone?" . In trying to answer the question, I contrasted the contemporary introduction to programming with the way it was learned in the 1950s. The first was that one of the prerequisites for being a promising oddball was that of having a nontrivial college degree. Examples were philosophy (J. A. Robinson), English literature (Mark Halpern), Classics (C. A. R. Hoare), Physics (E.W. Dijkstra). Being thrown into the deep end in this way was educative, something that cannot be said of the typical first-year programming text, dumbed down in the way that only Educators have the secret of. A Programmer's Place (APP) has yet to snag Hoare or Halpern, but was fortunate to find J.A. Robinson available for an interview.

The effective use of argument is, of course, central to the practice of Law, and it is important that students of Law learn this skill. We describe here the architecture of a computer-based system to enable students to practice argumentation in a regulated environment. The system makes use of the concept of a dialogue game as a means of providing the necessary rule-governed structure for the conduct of an argument between two students, or a student and a teacher. The architecture described is generic in that it can be instantiated with different forms of dialogue game. This instantiation is achieved by the use of performatives to specify the rules of the game and the semantics of operations within the Dialogue Abstract Machine that is used to implement it.