Trillions of self-replicating artificial intelligence robot factories will populate the asteroid belt by 2050.
The statement was made by esteemed scientist Jürgen Schmidhuber, known as the “Father of Deep Learning.”
At the recent WIRED 2016 event that showcased smart machines and tons of insights from disruptive innovators, Schmidhuber gave a futuristic view of AI robot technologies. They will be more than just machines undertaking regular jobs.
The future AI robots will be scientists, he said. In a few million years, they will be exploring the galaxy and setting their own goals.
Schmidhuber is considered the”father of very deep learning” who pioneered deep learning neural networks.
Deep Learning In a Nutshell
Deep learning utilizes large simulated neural networks. It has been proven crucial in the training of robots to understand images, audio, video, or to grasp, see, and hear, as well as reason.
Deep learning is a type of machine learning enabling computers to learn from experience and comprehend the world in terms of a hierarchy of concepts.
At present, we have AI robots that can learn through continuous exposure to data. They can do pharmaceutical research, medically diagnose, navigate, and drive. Quantum computing company D-Wave bared, for instance, its quantum-powered exoskeleton Kindred that will utilize AI-driven robotics that can take on the work of four.
Current Robotic Innovations
The innovations showcased in electronics exhibitions like the CEATEC Japan signaled the state of things to come. To date, forward-thinking companies like Hitachi have presented their renditions of the humanoid robot.
Hitachi’s robotic innovation is equipped with multiple cameras and sensors that can detect humans’ expressions and movements. Hitachi’s third-generation EMIEW3 showcased at the 2016 CEATEC Japan towers at 35.4 inches and weighs 33 lbs., and can do autonomous movement.
It is a “self-moving robot that can offer guidance and customer service” as it reads expressions of customers in public areas.
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