Robots in the work place can perform hazardous or even 'impossible' tasks; e.g., toxic waste clean-up, desert and space exploration, and more. AI researchers are also interested in the intelligent processing involved in moving about and manipulating objects in the real world.
In 2012, upon discovering that the number of students wanting to study IT at the University of Cambridge had dwindled dramatically, Eben Upton began brainstorming for a gimmick to increase the number of enrollees. So he came up with the Raspberry Pi. The $35-a-pop minicomputer became an instant hit, sold like hotcakes worldwide, and has prompted the rise of amateur inventors. Innovative projects like voice-activated coffee machines, bow-tie spy cams, and humanoid robots were all spawned by that tiny piece of machinery. And you, too, could get in on the game and start a slew of your own creative projects with the Raspberry Pi.
You say you're a parent or teacher investigating robot kits for children? And you don't want a simple solution with a single purpose: you want the child to experience science, technology, engineering, and math? You want a kit that teaches all four categories, from piecing together the foundation to wiring the appendages to programming the "brain" using software. That's where our list of robot kits for kids comes in. Most of the robot kits listed below are tied to terms such as STEM, Arduino, and Blockly.
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself.
Urban settlements and technology around the world are co-evolving as flows of population, finance, and politics are reshaping the very identity of cities and nations. Rapid and profound changes are driven by pervasive sensing, the growth and availability of continuous data streams, advanced analytics, interactive communications and social networks, and distributed intelligence. At MIT, urban planners and computer scientists are embracing these exciting new developments. The rise of autonomous vehicles, sensor-enabled self-management of natural resources, cybersecurity for critical infrastructure, biometric identity, the sharing or gig economy, and continuous public engagement opportunities through social networks and data and visualization are a few of the elements that are converging to shape our places of living. In recognition of this convergence and the rise of a new discipline bringing together the Institute's existing programs in urban planning and computer science, the MIT faculty approved a new undergraduate degree, the bachelor of science in urban science and planning with computer science (Course 11-6), at its May 16 meeting.
For many years now, people have been improving their tools, studying the forces of nature and bringing them under control, using the energy of the nature to operate their machines. Last century is noted for the creation of machines which can operate other machines. Nowadays the creation of devices that interact with the physical world is available to anyone. Our course consists of a series of practical problems on making things that work independently: they make their own decisions, act, move, communicate with each other and people around, and control other devices. We will demonstrate how to assemble such devices and programme them using the Arduino platform as a basis.
About this course: Do you want to know how robots work? Are you interested in robotics as a career? Are you willing to invest the effort to learn fundamental mathematical modeling techniques that are used in all subfields of robotics? If so, then the "Modern Robotics: Mechanics, Planning, and Control" specialization may be for you. This specialization, consisting of six short courses, is serious preparation for serious students who hope to work in the field of robotics or to undertake advanced study.
For some us, AI is kind of an iffy proposition. To many, it is nebulous enough to seem like it might replace us or our jobs. And the harbingers of this sea change aren't exactly affirming: every other week in the news, self-driving smart cars keep crashing, with injuries and sometimes fatalities. AI generally doesn't seem to be that well-received in mass media, either, like in movies like Minority Report or TV shows like Westworld. Because of all this, the public perception of AI might be on the negative side.
Kevin Kelly has stated that AI is going to make even bigger changes to the economy than the internet. If you missed out on the internet dot com bubble of the late 90s and early 2000s, now is your chance. AI is coming, and it's coming fast. And AI is also one of the most difficult things to learn. Once you get past a Wikipedia article the next step is a 1000 page textbook that will take a year to read plus learning a bunch of new fields of math and programming.
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.
Most of all, it's a reminder that we all have the ability to build impressive projects without Tony Stark levels of genius or wealth. So on May 12th, why not take the time to get to know Arduino? To get you started, we've rounded up five of the best Arduino online courses and kits that'll give Iron Man a run for his money. Since Arduino itself is open-source, it's only fitting that you should get access to top-tier training materials for the price of your choosing. This collection of 10 project-based e-books covers everything from the Internet of Things to robotics to wearables.