Future of Robotics & AI: Not Your Father’s Robot
Yesterday: Your Father’s Robot
Artificial Intelligence (AI) was simply automation. Programming a robot to perform the same action repeatedly, or a specific set of actions if a pre-defined set of parameters are met.
Meet “Shakey” – the world’s first artificial intelligence robot.
Today: Meet Honda Asimo Robot
Asimo has been in development by Honda since early 2000s as a “Jetson’s maid, Rosie” type robot with delivery capabilities, and most recently announced in this video, sign language and stair climbing.
Tomorrow: Intelligent robots that can react in situations they haven’t specifically been programmed for.
AI algorithms project into the future in concert with installed sensing devices and increase vehicular stability while maintaining performance.
Three steps to achieving a higher level of AI / Deep Learning / Machine Intelligence.
1. Deep Learning Framework
Frameworks such as Torch, Theano, Caffee, Paddle, MxNet, Keras, and others help companies build deep learning solutions with a Python-based library capable of running on multiple machines simultaneously.
2. Big Data
Great amounts of data are needed to train the algorithms build on deep learning frameworks. Just as humans learn behavior from observing the world around us as we grew up, our AI machines need to be fed huge amounts of data for their learning.
3. Computing power
Specifically GPU and CPUs to process big data to accelerate deep learning. GPU-accelerated computing is the use of a graphics processing unit (GPU) together with a CPU to accelerate deep learning, analytics, and engineering applications.
What does this mean for you and me?
- Automotive: Self-Driving vehicles
- Healthcare: Personalized Medicine
- Services: Speech Recognition and natural language processing
- Media & Entertainment: Video captioning, content based search, real-time translation
- Security & Defense: Facial Recognition, video surveillance, CyberSecurity
Elon Musk’s position on AI:
“I think we should be very careful about artificial intelligence. If I had to guess at what our biggest existential threat is, it’s probably that. So we need to be very careful,” said Musk. “I’m increasingly inclined to think that there should be some regulatory oversight, maybe at the national and international level, just to make sure that we don’t do something very foolish.”
What did our distinguished panel have to say about AI and Robotics?
Panel Consensus: “AI will eliminate some manual labor jobs, but will also create careers for data scientists, cybersecurity, and allow humans to enjoy creative endeavors.”
Abel Brown, Sr Solutions Architect, Nvidia, “Deep learning will close the last mile with 98% accuracy.”
Panos Tsiotras, Associate Director for Research, Institute for Robotics & Intelligent Machines, Georgia Institute of Technology, “AI Algorithms can project into the future what the vehicle will do, generate possibilities, and choose the best one.”
Caleb Clark, Co-Founder of Winston Robotics, “AI is the future, get behind it, become a leader, or be gone.”
Need more? Watch the entire panel discussion here.