Start your journey Become a professional Robotics Software Engineer
With hardware built for IoT, AI software that’s purpose-built for mobile robot applications, and a global partner ecosystem, Intel provides the foundational building blocks for robot builders to create connected, intelligent, and reliable robotics solutions. Ourprocessors enhanced for IoT,AI accelerato...
AIis slowly but surely becoming an integral part of our daily lives: machine learning and robotics are now used regularly in the various industries including transport, finance, health-care, education, data-security, military and beyond. Today, self-driving cars have become a reality; one of th...
At ExperiHub, we strive to build concepts in Science and advanced S.T.E.M. topics of AI & Robotics. We offer programs for school teachers and for students in a way that these topics appear fun. All programs are experiential with lots of hands-on activiti
Learn Physical AI and Humanoid Robotics This repo is part of the Certified Cloud Native Applied Generative AI Engineer program. It covers the sixth quarter of the course work: Quarter 6: Physical AI and Humanoid Robotics Development Artificial intelligence (AI) has experienced remarkable advancements ...
Week 2: AI and Robotics in healthcare What will you achieve? By the end of the course, you'll be able to... - Discuss how AI and Robotic technologies could impact the nature of assisting individuals with healthcare complications.
“Lerrel’s work is a major milestone in bringing machine learning and robotics together,” says Pieter Abbeel, director of the robot learning lab at the University of California, Berkeley. “His current research will be looked back upon as having laid many of the early building blocks of th...
1:02Skip to1 minute and 2 secondsJoin us on Medtech: AI and Medical Robots today. What topics will you cover? Understanding the history of AI and robotics in healthcare. Exploring the features of human-robot interaction. Human centred design and challenges when designing robots for use in ...
AI covers a broader range of topics, including ML, robotics, expert systems, NLP, and more. The broader scope makes this field harder to master, but it also leads to more diverse career opportunities. ML has a considerably more data-driven focus. Machine learning is a great option if you...
AI ML Neural Networks Supervised Learning Unsupervised Learning Reinforcement Learning Course Auditing FutureLearn Raspberry Pi Foundation National Centre for Computing Education Carrie Anne Philbin Ben Garside CS: Artificial Intelligence, Robotics & Computer Vision United Kingdom 4 Weeks 1-4 Hours...