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Pinaki Laskar on LinkedIn: #AI #neuralnetworks #selfdrivingcars

#artificialintelligence

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner Why we should shift our focus to "Understandable AI" from Explainable AI? There are two simple but fundamental reasons, - To deeply understand the world for machine intelligence and learning and human intelligence replacing statistical independence with causal world model. First, It takes a human about 20–30 hours to learn how to drive a car, while it takes tens of thousands of hours to train #neuralnetworks to achieve this same capability. Even after all of these years of training and despite of using the latest and greatest in processing and sensor technology, #selfdrivingcars are still not deemed road-safe. We can train our learning model to recognize many of these situations, but there is an infinite number of them and even after millions of miles driven, the machine learning model will not have experienced anywhere near all of them.


Pinaki Laskar on LinkedIn: #artificialintelligence #robots #machinelearning

#artificialintelligence

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner How intellect is artificial intelligence today? It is as smart as its dump, dull and deficient (3d). Today's quasi-AI is biased, black box, oblique, weak and narrow. It could blindly and unknowingly perform strictly what it was designed for, videogame/chess/strategic games playing, self-driving, language translation, face recognition, fraud detection, speech communication, product recommendation, pattern matching, generating poetry or music or images or faces or new molecules, etc. It is all relying on statistical relationships in raw input data sets to generate some patterns that humans find useful.


Pinaki Laskar on LinkedIn: #conversationsforchange #futureofwork #metaverse

#artificialintelligence

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner What is The Next Big Thing in #AITechnology - Reality, Causality and Mentality? The Next Game is Reality and Causality. The main features involved in the Causal Revolution are disruptive scientific and technological changes, as in: A comprehensive, consistent and coherent causal model of the world for humans and computers. Real AI as Causal Machine Intelligence and Learning involves Causal Logic and Causal Models, Causal Learning, Causal Understanding and Causal Decision, Predictions and Action. Formal Symbolic Logic, as propositional, first/second/higher order predicate logic, as logical relations or part-whole relations, made the engine of #SymbolicAI, and largely blamed for two long "AI winters".


Pinaki Laskar on LinkedIn: #metaverse #AI #robotics

#artificialintelligence

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner How will the #metaverse replace the internet? The concept originates in Snow Crash, a science-fiction novel by Neil Stephenson depicting a futuristic world in which people operate virtual avatars in an online world known as the Metaverse. The Metaverse is the next generation internet based on digital realities (including VR, AR, and MR), computer technology, internet communication technology, social networks, all underlined by global AI platform. The Metaverse is coming, as Meta-physics Universe, transcending and transforming the universe. Digital technologies change in [decade] waves, The 1980's was the PC wave; the 1990's the Internet; the 2000's the mobile Internet; the 2010's the narrow AI/ML/DL/ANNs/DataAnalytics; the 2020's the real AI/Trans-AI/Meta-AI; The next [last] wave will be the metaverse or transverse or omniverse.


Pinaki Laskar on LinkedIn: #artificialintelligence #machinelearning #AIengineering

#artificialintelligence

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner Can a real Artificial intelligence system exist before we truly understand how our brain works? We don't need to know how the human brain works. Moreover, it is an unknown unknown for us, but not for prospective superintelligent machines. Here is the general formula for real AI, REAL AI World's Data Systems (ML/DL) Causal Algorithms World's Model Computing (software & hardware) Communication (the Internet & IoT & Edge Computing). It makes the next generation AI, truly intelligent AI, Trans-AI or Meta-AI.