DARPA sees three waves of artificial intelligence –
Wave 1
Engineers create sets of rules to represent knowledge in well‐defined domains
The structure of the knowledge is defined by humans
The specifics are explored by the machine
Wave 2
Manifold hypothesis
Natural data forms lower dimensional structures (manifolds) in the embedding space
Each manifold represents a different entity
Understanding data comes by separating the manifolds
More detailed parsing until categories are clearly separated
Statistically impressive, but individually unreliable
Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.
Known for identifying cutting edge technologies, he is currently a Co-Founder of a startup and fundraiser for high potential early-stage companies. He is the Head of Research for Allocations for deep technology investments and an Angel Investor at Space Angels.
A frequent speaker at corporations, he has been a TEDx speaker, a Singularity University speaker and guest at numerous interviews for radio and podcasts. He is open to public speaking and advising engagements.
Comments are closed.