Robots: Instructional Materials


Best pre-Black Friday deals for Nov. 19: Nikon DSLR cameras, iPad, GoPro drones, Roomba, Fire TV Stick 4K

Mashable

Don't wait until Black Friday to do your shopping when there are a ton of great deals you can take advantage of right now. We've rounded up the best deals on all sorts of cameras, kitchen and home products, and Amazon devices, while we also have deals on dog DNA kits from Embark, CBD oil, and Udemy online courses for web development and social media. You can save $191 on an impressive camera bundle that includes the Nikon D5300 DX-Format Digital 24.2 megapixel SLR camera, AF-P DX 18-55mm VR lens, AF-P NIKKOR 70-300mm ED lens, and a handy carrying bag. This entire bundle is now on sale for $529.99. In addition, you can save $100 on a Canon EOS Rebel T6 dSLR digital camera, EF-S 18-55mm IS II lens, 75-300mm III zoom lens, and a 100ES shoulder bag bundle, which is going for just $399.99.


Stepwise Acquisition of Dialogue Act Through Human-Robot Interaction

arXiv.org Artificial Intelligence

A dialogue act (DA) represents the meaning of an utterance at the illocutionary force level (Austin 1962) such as questions, requests, and greetings. Since DAs take charge of the most fundamental part of communication, we believe that the elucidation of DA learning mechanism is important for cognitive science and artificial intelligence. The purpose of this study is to verify that scaffolding takes place when a human teaches a robot, and to let a robot learn to estimate DAs and to make a response based on them step by step utilizing scaffolding provided by a human. To realize that, it is necessary for the robot to detect changes in utterance and rewards given by the partner and continue learning accordingly. Experimental results demonstrated that participants who continued interaction for a sufficiently long time often gave scaffolding for the robot. Although the number of experiments is still insufficient to obtain a definite conclusion, we observed that 1) the robot quickly learned to respond to DAs in most cases if the participants only spoke utterances that match the situation, 2) in the case of participants who builds scaffolding differently from what we assumed, learning did not proceed quickly, and 3) the robot could learn to estimate DAs almost exactly if the participants kept interaction for a sufficiently long time even if the scaffolding was unexpected.


Meet the roboprofessor: Bina48 teaches a philosophy course at West Point military academy

Daily Mail

Your next professor could be a robot. Bina48 became the first robot to co-teach a university class when she helped lead a course at West Point, the U.S. Military academy, according to Axios. The humanoid AI taught two sessions of a philosophy course, with topics ranging from ethics, just war theory and use of artificial intelligence in society, which is pretty meta. Bina48 (pictured) became the first robot to co-teach a university class when she helped lead a course at West Point, the U.S. Military academy. William Barry, who has been using Bina48 to teach for several years, decided to put the robot in front of students in the classroom to see if she could'support a liberal education model.'


Microsoft Announces Experimental Release of ROS for Windows 10

IEEE Spectrum Robotics Channel

At ROSCon 2018 in Madrid this weekend, Microsoft showed up with a small booth and a TurtleBot 3. The TurtleBot wasn't doing much, just sitting on a table, but it was sitting on the table while running ROS Melodic Morenia on Windows 10. Were it released onto the floor, it would have used its lidar to locate people and drive towards them, as a proof of concept that Microsoft has successfully gotten ROS to work in Windows. This isn't just an isolated demo, either. In a blog post, Lou Amadio (Windows IoT principal software engineer at Microsoft), says that "Microsoft is working with Open Robotics and the ROS Industrial Consortium to bring the Robot Operating System to Windows." One of the biggest obstacles to getting started with ROS is that it also involves getting started with Linux.


Dip your toes into AI with these online courses for Google Cloud

Mashable

AI systems have led to improvements in a broad spectrum of industries, including medicine and business, and sprouted new technologies like voice assistants (can you imagine what your day would be like without Alexa?) and self-driving cars. If you're curious about learning more and want to dip your toes in a bit -- whether out of sheer fascination or for business and job hunting purposes -- the Google Cloud Mastery Bundle can serve as your primer to the world of AI. While Google Cloud has yet to reach the heights of what Amazon Web Services and Microsoft Azure have achieved, it sure is promising. After all, its litany of cloud computing services runs on the same infrastructure as Google Search and YouTube, two of the most frequently digital products used today. Undoubtedly, learning its inner workings can prove to be useful if you're running a business or carving out a career in tech.


Ensemble Machine Learning in Python: Random Forest, AdaBoost

#artificialintelligence

In recent years, we've seen a resurgence in AI, or artificial intelligence, and machine learning. Machine learning has led to some amazing results, like being able to analyze medical images and predict diseases on-par with human experts. Google's AlphaGo program was able to beat a world champion in the strategy game go using deep reinforcement learning. Machine learning is even being used to program self driving cars, which is going to change the automotive industry forever. Imagine a world with drastically reduced car accidents, simply by removing the element of human error.


The Future of Labor: It's Not All Robots in the Workplace - ReadWrite

#artificialintelligence

Is the robot revolution arriving sooner -- and with more devastating force -- than you once believed? While much of the automation discussion has surrounded blue-collar careers in manufacturing and transportation, recent studies on the subject see a much wider range of jobs being affected. According to an algorithm developed in 2013 by researchers at Oxford University, 47 percent of U.S. jobs could be automated "in the next decade or two." A more recent multinational study puts 210 million jobs in 32 countries at risk. But these numbers don't show the full picture of the future of work.


Data Science: Supervised Machine Learning in Python

#artificialintelligence

In recent years, we've seen a resurgence in AI, or artificial intelligence, and machine learning. Machine learning has led to some amazing results, like being able to analyze medical images and predict diseases on-par with human experts. Google's AlphaGo program was able to beat a world champion in the strategy game go using deep reinforcement learning. Machine learning is even being used to program self driving cars, which is going to change the automotive industry forever. Imagine a world with drastically reduced car accidents, simply by removing the element of human error.


Math for Machine Learning: Open Doors to Data Science and Artificial Intelligence

#artificialintelligence

From self-driving cars and recommender systems to speech and face recognition, machine learning is the way of the future. Would you like to learn the mathematics behind machine learning to enter the exciting fields of data science and artificial intelligence? There aren't many resources out there that give simple detailed examples and that walk you through the topics step by step. This ebook not only explains what kind of math is involved and the confusing notation, it also introduces you directly to the foundational topics in machine learning. This book will get you started in machine learning in a smooth and natural way, preparing you for more advanced topics and dispelling the belief that machine learning is complicated, difficult, and intimidating.


4 ways artificial intelligence will shape the future of learning technology

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With the rapid pace of innovation continually disrupting business models, and in many cases entire industries, how will online learning keep up to provide the relevant courseware for today's and tomorrow's workforce? This will be essential for economic growth and to support a thriving, college-educated workforce that's equipped with the very latest knowledge, ideas and technology. In the future, I believe that institutions at the forefront of online education will be recognized via several capabilities which will have digitally transformed today's EdTech market. They will include a powerful combination of omni-channel learning pathways, cognitive courseware, virtual counselors and AI-enabled course development and grading. These innovations, underpinned by artificial intelligence (AI), will help to provide students the ultimate choice in their courseware – including up-to-the-minute courses on high-interest/high-growth subject matter – as well as highly-innovative digital services that support them every step of the way to help maximize their success and personal objectives.