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Making Human Lives Better With AI

AI, Physics, Researcher3 min read

Jaisimha Manipatruni

Meet Jaisimha Manipatruni

AI Research and Innovation @ Google

Hyderabad, Telangana, India 

Jaisimha Manipatruni is an Artificial Intelligence Researcher and High Energy Physicist designing AI for autonomous vehicles.

He wants to achieve full autonomy and work on high energy physics to develop high-performance computer architectures to empower Quantum level AI systems.

Jaisimha is currently working on Autonomous flight systems and is an active contributor in Quantum Compute Systems Research and Photonics Based Computing Systems.

What inspired you to pursue a career in AI?

I was always fascinated with the human brain and its functionality.

I took my Majors in Electrical Engineering. During my university days, I had a great passion for Control Systems Engineering and Applied Mathematics.

It’s here when I really found out that we can automate the real-world engineering much efficiently by programming them on “Rule-Based Methods” but I really wasn’t satisfied with this approach.

I felt we could automate the task by “Teaching the machine” to do the tasks.

That’s where I applied the “Genetic Algorithm to Tune PID Controller” and it was my first International Publication.

This really fueled me to pursue a career in artificial intelligence and believe it’s important to solve real-world engineering problems with AI rather than just crunching the Data and getting the insights.

How did you become an AI Researcher?

Well, that was a rough road. Being from a non-Computer science background as an electrical engineer I learned Python in my second year of graduation but didn’t really use it.

After a semester I began to research several fields in applied mathematics and Turing machines.

I spent countless nights the entire semester on Turing Machines and Theoretical Artificial Intelligence (Which were really not in our course curriculum) and after the end of the semester, I began to start exploring Data and Statistics and really fell in love with Deep Learning.

After my graduation, I began to experiment in several areas of Computer Vision and Natural language processing (NLP).

I truly feel AI is a vital part of real-world physical engineering and I advanced in areas like incorporating AI in Electronic Chip Architectures, Electro-Mechanical Systems, and High Energy Physics Optimizations.

It’s important that every AI researcher must make their AI models physically applicable rather than just simulating and coding them in computers all day.

What is your main interest in working on Ai and Computer vision?

We live in a wonderful and beautiful creation where we are in a position to perceive things enjoy them and learn from them.

Vision is a very significant part of Perception.

As we are aware that AI models work well with Huge Data and Good Compute, collecting data and training AI models on Visual based Data would yield a wonderful result.

Machine intelligence right now is rapidly growing on the good side of Computer Vision.

Computer Vision with AI empowers us to deal with problems in medical technology, oncology, virology and engineering technologies like Self Driving Cars and Augmented Reality and Robotics.

I can say these relate to my interest in AI-based Computer Vision.

Though I also work on other fields of AI like Natural language Processing and Natural Language Understanding.

How could AI be used in autonomous vehicles?

The heart of autonomous vehicles is a well trained AI model.

The AI model alone doesn’t give the best autonomy but a well-built control architecture must be integrated with well trained AI model.

Having said this for all this to happen ‘Data’ plays a crucial role in this entire pipeline.

The data which is what the autonomous vehicle sees as real-world and interprets it and decides the cruise is a crucial ‘AI based Computer Vision” problem and needs the state of the art AI to combat this.

This makes AI a very crucial part of autonomous systems particularly in Self Driving Vehicles where we come across life-critical situations.

How artificial intelligence can be used in Energy physics?

Energy Physics is one big umbrella of multidisciplinary streams of Physics.

Essentially it includes everything ranging from complex Thermodynamics to Photonics and application of AI in these fields are numerous.

In one of my works in energy physics, I have used Reinforcement Learning to optimize the energy thresholds of trapped Photons in the Gallium environment.

It’s important to understand that AI has reduced the workload on physicists, especially in the simulation part.

The possibilities are endless.

How would you like to see yourself positioned in the history of Ai?

I surely would see myself as a significant person in the history of AI, by innovating things that make Human Lives better.

I would probably see myself also as a “That Beloved Grey Hair Professor” full of age in one of the Ivy Leagues.

I feel it’s really important to be present in human hearts as a good mentor and human being as we know that death is certain and Life is uncertain in this timeline of AI/ART/SCIENCE/TECH History.