The 10 Properties of Quantum Machine Learning

The top 10 properties and characteristics of quantum machine learning are discussed by Dr. Amit Ray of Compassionate AI Lab. The four groups of quantum artificial intelligence: shallow quantum intelligence, deep quantum intelligence, and quantum creative intelligence are discussed. The 10 M’s of quantum machine learning are: Majestic, Meritorious, Merger, Methodical, Minimum-Maximum: Global Optimization,Mediation, Metaphor, Manifestation, Maturity and Mitigation.

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Five Key Benefits of Quantum Machine Learning

Five Key Benefits of Quantum Machine Learning Here, Dr. Amit Ray discusses the five key benefits of quantum machine learning.  Quantum machine learning is evolving very fast and gaining enormous momentum due to its huge potential. Quantum machine learning is the key technology for future compassionate artificial intelligence. In our Compassionate AI Lab, we have conducted several experiments on quantum machine learning in the areas of drug-discovery, combating antibiotic resistance bacteria,

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What’s Holding Back Machine Learning in Healthcare

What is holding back the large scale implementation of machine learning systems in healthcare and precision medicine? In this article Dr. Amit Ray, explains the key obstacles and challenges of  implementing large-scale machine learning systems in healthcare.   Dr. Ray argued that lack of deeper integration, incomplete understanding of the underlying molecular processes of disease it is intended to treat, may limit the progress of implementing large-scale machine learning based reliable systems in

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Roadmap for 1000 Qubits Fault-tolerant Quantum Computers

How many qubits are needed to out-perform conventional computers, how to protect a quantum computer from the effects of decoherence and how to design more than 1000 qubits fault-tolerant large scale quantum computers, these are the three basic questions we want to deal in this article.  Qubit technologies, qubit quality, qubit count, qubit connectivity and qubit architectures are the five key areas of quantum computing are discussed. Earlier we have

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Quantum Computing with Many World Interpretation Scopes and Challenges

Quantum Computing with Many World Interpretation Scopes and Challenges Many scientist believe that Many World Interpretation (MWI) of quantum mechanics is self-evidently absurd for quantum computing. However, recently, there are many groups of scientist increasingly believing that MWI has the real future in quantum computing, because MWI can provide true quantum parallelism.  Here, I briefly discuss the scopes and challenges of MWI for future quantum computing for exploration into the

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Quantum Computer with Superconductivity at Room Temperature

Quantum Computer with Superconductivity at Room Temperature Quantum computer with superconductivity at room temperature is going to change the landscape of artificial intelligence. In the earlier article we have discussed quantum computing algorithms for artificial intelligence.  In this article we reviewed the implication of superconductivity at room temperature on quantum computation and its impact on artificial intelligence.    Long coherence time (synchronized), low error rate and high scalability are the three

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Quantum Computing Algorithms for Artificial Intelligence

Quantum Computing Algorithms for Artificial Intelligence Dr. Amit Ray explains the quantum annealing, Quantum Monte Carlo Tree Search, Quantum algorithms for traveling salesman problems, and Quantum algorithms  for gradient descent problems in depth. This tutorial is for the researchers, developers, students and the volunteers of the quantum computing team of the  Sri Amit Ray Compassionate AI Lab. Many of our researchers and students asked me to explain the quantum computing algorithms in a very

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Artificial Intelligence to Combat Antibiotic Resistant Bacteria

Antibiotic resistance bacteria is becoming world’s biggest health crisis. Dr. Amit Ray explains how artificial intelligence can be used in combating antibiotic resistant bacteria. A multi-agent deep reinforcement learning models for predicting behavior of bacteria and phages in multi-drug environments are discussed.

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Artificial intelligence for Assisting Navigation of Blind People

AI for blind people has huge scope. Dr. Amit Ray explains how grid cell, place cell, path integration with artificial intelligence can be used for navigation system for blind people. Assisting blind people with deep learning & reinforcement learning is discussed. This project will help the blind people.

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Brain-Computer Interface and Compassionate AI to Serve Humanity

Brain-Computer Interface and Compassionate AI The purpose of Compassionate AI is to remove the pain from the society and help humanity. Artificial Intelligence with Brain-Computer Interface (BCI) or Brain Machine Interface (BMI) is a fast-growing emerging technology for removing pains from the society. Here,  Dr. Amit Ray explains how with the advancement of artificial intelligence and exploration of new mobile bio-monitoring  devices, earphones, neuroprosthetic, wireless  wearable sensors, it is possible

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