Artificial intelligence (AI) systems can recognize your speech like Siri or identify images like Facebook, but these types of machine intelligences are built on statistical approximation, using loads of data to make educated guesses. Though statistical approximation was a significant technological advancement for devices, experts at Future Lab's AI Summit in New York City believe that it is time to expand the bounds of artificial intelligence--to democratize it--by "engineering knowledge." For Puri, that is the next level of AI--its ability to not only say what something is, but to reason and understand the intent of its being, to answer the'why' question. "Working with kids gives you grounding. They ask questions because they are not shy," says IBM Watson's Chief Architect, Dr. Ruchir Puri, in an interview with EdSurge.
Mike Salem from Udacity's Robotics Nanodegree is hosting a series of interviews with professional roboticists as part of their free online material. Chris is a former Wired magazine editor turned robotics company co-founder and CEO. You can find all the interviews here. We'll be posting them regularly on Robohub.
Mike Salem from Udacity's Robotics Nanodegree is hosting a series of interviews with professional roboticists as part of their free online material. Abdelrahman is a Software Development Engineer in the Core Machine Learning team at Amazon Robotics. His work includes bringing state-of-the-art machine learning techniques to tackle various problems for robots at Amazon's robotic fulfillment centers. You can find all the interviews here. We'll be posting them regularly on Robohub.
Say Machine Learning to someone, and if they recognize the term, they'll probably think, "tech company." But while the origin stories of transformative technologies like machine learning, deep learning, and artificial intelligence often seem to take root in Silicon Valley, the truth is these are industry-agnostic innovations. Their impact is being felt across countless fields you might never have thought of as being ripe for technological advancement. Think about it like this: If you were a farmer, and someone came to you and said, there's a technology out there that can accurately predict your crop yields, would you be interested? Well, this is exactly what Descartes Labs does.
To nominate a potential subject ideally between the ages of 5 and 17, email email@example.com. Kaden Hyatt is 13 years old and in the seventh grade. He lives in San Francisco with his dad, Nabeel Hyatt, a tech venture capitalist at Spark Capital, and his mom, Megan Hyatt, who is currently a stay-at-home mom. Can you tell me a little bit about your relationship with your parents? My dad is a venture capitalist and my mom just takes care of us, so my mom generally picks us up from school and drives us around, and my dad is generally home at night three out of five weekdays.