Fundamental Architecture – Machine Learning Is Not Like Your Brain #3

Опубликовано: 19 Май 2022
на канале: Future AI Society
4,601
249

This video dives into the fundamental architecture underlying machine learning and how it differs from the human brain.

While today’s AI has incredible abilities, it does not display any form of general intelligence the way that humans do. Understanding the limits of Machine Learning and how it compares to the human brain is the key for AI to evolve into its next phase, AGI.

Videos in this series will focus on individual facets of Machine Learning which are impossible or highly unlikely in neurons.

Rather than accepting Machine Learning as the de facto standard, FutureAI is pursuing alternative approaches and algorithms which will lead to breakthroughs in future technology.

Watch PART 4:    • Video  
Watch PART 2:    • Perceptrons V Neurons - Machine Learn...  
Watch the Full Playlist:    • Machine Learning is Not Like Your Brain  

Download Brain Simulator II: https://futureai.guru/brainsim.aspx
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FutureAI is an award-winning, early-stage technology company revolutionizing AI by adding actual real-world understanding. This differs from today’s AI, which analyzes massive data sets, looking for patterns and correlations without understanding any of the data it processes.

FutureAI’s radical software creates connections on its own between different types of real-world sensory input (such as sight, sound, and touch) in the same way that a human brain interprets everything it knows in the context of everything else it knows.

Charles J. Simon, BSEE, MSCS, nationally-recognized entrepreneur, software developer and manager. With a broad management and technical expertise and degrees in both Electrical Engineering and Computer Sciences Mr. Simon has many years of computer experience in industry including pioneering work in AI and CAD (two generations of CAD).
Silicon Valley Entrepreneur, Mr. Simon has co-founded three other pioneering technology companies as president and VP of Engineering.
His technical experience includes the creation of two unique Artificial Intelligence systems along with software for successful neurological test equipment. Combining AI development with biomedical nerve signal testing gives him the singular insight.

#machinelearning #artificialintelligence #technologiesthatthink


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