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This website contains a free and extensive online tutorial by Bernd Klein, using material from his classroom Python training courses. If you are interested in an instructor-led classroom training course, you may have a look at the Python classes by Bernd Klein at Bodenseo. "The difference between stupidity and genius is that genius has its limits" (Albert Einstein)

Emerging technologies such as Artificial Intelligence (AI) must be harnessed strategically in national building to provide equal access to opportunities to all, Nadan Nilekani, the former chairman of India's Unique ID Authority, said during a conference in Bengaluru on Monday. Failure to do so will invite a backlash, Nilekani warned, as large numbers of people see themselves being left out with the fruits of technological advancement benefiting only a few. "How do we use all this stuff that you guys have built and flip it around to benefit large numbers of people, and I think that is very important," Nilekani said in a discussion with Satya Nadella, CEO of Microsoft Corp, at a conference on Artificial Intelligence organised by the company. "If we don't do that, I think the backlash, as we've seen in the US, is going to be quite a lot." Nilekani wasn't available for a follow-on discussion, but he was probably referring to many more Americans voting for Donald Trump -- helping Trump become their president -- than any pundits had anticipated, as they feared that his opponent Hillary Clinton represented the elite.

On February 16th, Antonio García Morte, CTO (Chief Technology Officer) at the CADC participated in the "Artificial Intelligence Days at ETSIT" to give a workshop to the students of the Technical School of Telecommunications Engineers of the Polytechnic University from Madrid. The workshop was attended by 106 engineering students of different specialties such as; Telecommunications, Computing and Biomedical, interested in all the advances that are happening in the field of artificial intelligence.During the session will be treated in a very interactive way all the advances that are happening in the field of artificial intelligence. Antonio García Morte, conducted a very interactive workshop with students discovering the fundamental theoretical aspects, such as search algorithms, deep learning, or genetic algorithms, to reach the most important practical advances of our time, such as the self-driven car. The teaching objective of the session was to provide to the student a clear mental map of the different areas that make up the artificial intelligence, together with the theoretical foundations and practical applications of each one of them.

This kind of question has been on IQ tests for years and the answer, it turns out, depends a good deal on which era you live in. Back in the down-home, cotton-spinning, 19th century you'd be right in thinking you use dogs to hunt rabbits. Shift forward to the glass-fronted skyscrapers of the 20th century Information Age and there was a new right answer; they are both mammals. But, as humans leapfrog into the 21st century of Artificial Intelligence (AI), robots and machine learning, is there an even newer answer? And if so, what is it?

"I was determined to do it precisely because I was told it was impossible." So says Yasuo Kuniyoshi, professor at the University of Tokyo's Graduate School of Information Science and Technology, in a quiet tone. However, the sharp glint in his eye betrays his grand ambition of developing a truly clever artificial intelligence to benefit humankind. Existing AI (Top) Self-driving cars most likely will one day be able to take people to their destination by recognizing simple instructions like, "Take me to the University of Tokyo." Because existing AI does not think the same way humans do, it cannot adapt to situations that are not in its playbook. Some current forms of artificial intelligence (AI), such as speech recognition and automated driving, are just as competent as humans--if not better--at carrying out their given tasks (figure 1).

That was 4 months ago, and at that time I determined my existential purpose in life to be to do everything I can to move the field of artificial intelligence towards general AI. There's a bunch of reasons I want to do this and it's giving me a lot of value and meaning in my life, but that's irrelevant to this thread. I am currently enrolled in university and am majoring in Computer Engineering. I chose this major because it would give me a lot of knowledge in both the hardware and software aspects of computer systems and I think it's overall pretty flexible. At least that's what I've been told.

Aman Naimat is the SVP Technology for Demandbase where he is working on creating the first Artificial Intelligence account-based marketing platform. Aman was previously co-founder and CTO of Spiderbook, a data-driven sales engine. Before Spiderbook, he was the co-founder of TopCorner, a platform for Open Government. Aman has been building CRM systems since he was 19. He also founded and worked in various startups in search, trading systems, and enterprise software.

I met Aman Naimat, Senior Vice President of Technology at Demandbase at their headquarters in San Francisco on my recent visit to California for Social Media Strategies Summit. Aman is working on leveraging the latest developments in artificial intelligence (AI) and data science for marketing and sales platforms. In this podcast, Aman and I discuss how AI functions in account-based marketing (ABM). Before working with Demandbase, Aman was previously founder and CTO of Spiderbook, a data-driven sales engine for account-based targeting. Aman has been building CRM systems since he was 19, and was the architect for the Oracle CRM applications.

Building really intelligent machines, or so-called strong artificial intelligence (AI), is a daunting task for technology. I've worked on an approach that requires two technological novelties: One is a new way to organize knowledge; the other is a new way to acquire knowledge. The resulting method is called AI-Kindergarten and allows for the development of AI that is intelligent in a way that mimics biological processes. While almost everyone is glad to see the recent progress in AI, some people take it as a sign of tremendous development to come. Will AI advance to the level of intelligence comparable to that of a human -- or higher? In general, it seems that those who work every day to develop and improve AI are more conservative in their predictions -- perhaps because, for them, the discrepancy between what we hope for and what we actually have is far too obvious.