Assignment Neuroscience to AI
- 1. UNDERSTANDING THE BRAIN: THE NEUROBIOLOGY OF EVERYDAY LIFE DECISION MAKING Presented by SIMI PAXLEAL J FROM NEUROSCIENCE TO ARTIFICIAL INTELLIGENCE
- 2. Covered Today A brief outline Decision Making Creation of Technology Brain Knowledge Recent Developments Relationship with Technology To the Future
- 3. The Decision Making Elucidation of the Process of selecting a particular option among a set of alternatives expected to produce different outcomes. The person making decision, essentially uses the process of identifying and choosing something using values, beliefs, and preferences. Help one make deliberate, thoughtful decisions by organizing relevant information and defining alternatives while decision making.
- 4. Our Future AI around the brain technology Many research scientists are making efforts to find ways to make machine or technology think and make decisions like the human brain in times of emergency, climate threats, uncertainity and with thoughts of future. As AI lacks the aspect of continuous learning as human brains do.
- 5. Where do we go next? HOW DO WE GET THERE?
- 6. MOVING TOWARDS NEUROSCIENCE WITH BRAIN Neuroscience, inspires people to understand the brain activity recordings that can be fed into an artificial neural network, a computer architecture and tasked it with learning how to reproduce the data. The recordings came from a small subset of neurons in the brain.
- 7. CREATION OF BRAIN-AI TECHNOLOGY BRAIN - NEUROSCIENCE Studying facets of the nervous system that includes brain, spinal cord and peripheral nervous system ARTIFICIAL INTELLIGENCE Simulation of the human intelligence in machine by programming to think like humans and mimic human like actions. IMPLEMENTATION REALITY Using tools like Neuro- imaging, Neural encoding, Natural Language Processing (NLP) tools etc.
- 8. Human brain to Machine Neuroscience Neuroscience help us understand the series of human functions that can be similated to machine algorithm
- 9. Neurons ~86 billions or more Brain has more than 86 billions of neurons. The neurons, basic brain cell that specialize in transmitting information throughout the body.
- 10. Routes of Decision Making in Brain ~Two Routes There are two routes for decision making. Unconscious Emotion are the involuntary movements like respiration, digestion, and pulse. Conscious thinking involves aspects -thinking, feeling, sensing and intuiting.
- 12. Brain different from AI? Biological Neurons or Nerve cells Brain Artificial Intelligence Machine Silicon Transistor or electronic 200 million neurons and 32 trillion interconnections 1 billion bytes RAM and trillion of bytes on disk Energy consumption: 6-10 Joules operation per second Energy consumption: 10-16 Joules operation per second Learning Capacity Programming capacity
- 13. The Artificial Intelligence Age AI in our daily lives Improves social media and digital assistants like Twitter, Google Now, self-driving cars, email filtering, Google predictive searching, product recommendation, Google Maps, Online Airline Fight bookings etc.
- 14. Pre-AI Human brain had to do all the work manually physically and mentally. The mental stress and demand innovation having clash with time. Manual tasks took longer time requires stamina sometimes not match requirement. Post-Neuroscience & AI Tools using Neuroscience and AI able to detect the problems of stress and ease the mental and physical strain . Able to do the functions of brain as normal human do.
- 16. Timeline of AI By Year timeframe 1600'S Mechanical calculation that affecting the human calculation and financial decisions 1800'S First design of the machine programming, by Charles Babbage and Ada Lovelace 1943-1965 Establish the parallels between human brain & computing machines - device term AI - learning machine intelligence 1980 -2000 Machine to emulate human brain - Deep blue -Roomba autonomous vaccum cleaner 2000'S Replace human with machine and AI at the intelligence and physical level to the point of decision making itself
- 17. Recent Developments ADVANCED ANALYTICS Autonomous data examination, using sophisticated techniques and tools beyond traditional business intelligence (BI) MACHINE LEARNING& NEURAL NETWORKS Mimics the way the human brain operates and learns like human with series of algorithm VIRTUAL ASSISTANTS Services to entrepreneurs or businesses from a remote location
- 18. Artificial Neural Network Artificial Neural Network (ANN) ANN, effective computing system whose central theme borrowed from the analogy of biological neural networks Each neuron has an internal state, called activation signal Output signals produced after combining input signals and activation rule, may be sent to other units, used as basic principle for decision making process both in the human brain and simulate ANN ANN acquires large collection of units that interconnected in some pattern to allow communication between units
- 20. TECHNOLOGY AROUND US VIRTUAL ASSISTANTS Service from remote location with capablities as of human brain NEURAL NETWORKS Series of algorithms that recognize underlying relationships in a set of data through process that mimics neuron CASHLESS PAYMENTS Machine capable to perform financial calculation as human does in physical environment VISUAL IDENTIFICATION Similar to human brain identify the different shapes and faces
- 21. 270% OF GROWTH OVER PAST 4 YEARS Relationship with Technology EMPLOYING AI Despite Talent Shortages, the Percentage of Enterprises Employing AI Grew 270 Percent Over the Past Four Years
- 22. TO THE FUTURE
- 24. THANKS TO PEGGY MASON Course Instructor and Professor, The University of Chicago COURSE OFFERED BY The University of Chicago SIMI PAXLEAL J SIMON Researcher
- 25. Get in Touch We'd love to hear your thoughts LINKEDIN www.linkedin.com/in/simipaxlealjaiwantsimon/ EMAIL paxsimileal@gmail.com
- 26. Be Inspired IMAGINATION IS MORE IMPORTANT THAN KNOWLEDGE. ALBERT EINSTEIN