Artificial Intelligence is our future

Article - Sudhir Pai

Like it or hate it. But we humans will have to face Artificial Intelligence by 2030. Are we ready for it?

So - What is Artificial Intelligence?

To different people, Artificial Intelligence (AI) means different things. For some it could be self driving cars or a robot who can be a good friend to us.

Today's computers are far smarter than most of the humans in terms of memory and computational power. But the big question is whether Robots can exactly behave and think like humans in terms of emotions? Yes - says some scientists and futurists.

Deep learning even known as machine learning will allow computers or robots to learn everything by themselves. This is interesting and at times can become even scary.

Some Top Artificial Intelligence Companies :

• Amazon
• Google
• Facebook

Many new players like Apex Technologies and Petuum are doing some exciting projects in Artificial Intelligence domain.

Career Opportunities :

Promising career lies ahead to those who learn Artificial Intelligence and Robotics like :

• Algorithm specialists.
• Artificial Intelligence scientist.
• Robotics Process Automation.
• And more ...

Good movies on Robotics :

• The Terminator.
• Bicentennial Man.
• Short Circuit.
• Robot
• 2.0
• And more ...

Books on Artificial Intelligence :

• Life 3.0 by Max Tegmark.
• How To Create A Mind by Ray Kurzweil.
• Deep Learning by Aaron Courville.
• And more ...

So - What are you waiting for?

Buy a book or google or watch an YouTube Video on above future technologies.

All the best !

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This blog is managed and maintained by Sudhir Pai, who is an electronics engineer and post graduate in management with 20 years work experience in corporates like Jetking, ICICI Bank, Kotak.

Are we living in computer simulated universe controlled by aliens or higher powers ?

Are we living in a computer simulated universe? Imagine, if you, me, dogs, cats, fishes and every person and all those non living things in the cosmos were actually characters in some giant computer game of the size of universe, we would not necessarily know it. The seemingly weird  idea that the universe is a simulation may sounds more like the plot of “The Matrix,” but it is also a legitimate scientific hypothesis where lot of scientists are working and trying to understand. Researchers debated, researched, pondered over the controversial notion again and again.

Such existential-sounding hypotheses often tend to be essentially untestable and may be laughed off, but some researchers think they could find experimental evidence that we are living in a computer game. One idea is that the programmers might cut corners to make the simulation easier to run. “If there is an underlying simulation of the universe that has the problem of finite computational resources, just as we do, then the laws of physics have to be put on a finite set of points in a finite volume,” said Zohreh Davoudi, a physicist at MIT. “Then we go back and see what kind of signatures we find that tell us we started from non-continuous spacetime.”

Below video may give some more insights:

Hindi - English Video ( Link Below )

https://www.youtube.com/watch?v=cjRx847zOEE

Sudhir Pai, is an electronics engineer and have worked with corporates like ICICI Bank, Kotak and Motilal Oswal. Now, he full time a business consultant, life coach, motivational trainer and author of 2 inspiring books. He can be reached on 9820073993 (Mumbai - India)

Young Innovator - Story of Vignesh Subrahmaniam

Age: 29

Technical area: Software

Current position: Lead scientist at GE Global Research

As a child, Subrahmaniam had an unusual combination of interests. He was interested in mathematics as well as music. While he was fond of reading books, he liked forecasting the weather and playing the veena. He grew up to become of one the youngest and finest statisticians and data scientists in the country.

Twelve years ago, when he had to decide the course of his career, his mother encouraged him to take up the field which he so passionately adored. “My mother has always believed that to really become successful, you need to do what you are passionate about,” says Subrahmaniam.

So, at that time, when people usually opted to study for a medical or engineering degree, he went to the Indian Statistical Institute, Kolkata.

After completing his studies in 2008, he joined the global research team at the US-based products and services firm General Electric Co., where he had interned in 2005. His forte is statistical modelling for weather forecasting to solve industrial problems.

In the early stages of his career, he developed mathematical models and algorithms that added significant value to diverse industrial applications. He worked with two more researchers to develop a new machine-learning algorithm which analysed historical weather data in the Indian subcontinent to identify regions that have similar rainfall patterns. His research led to the discovery of a new monsoon region called the Homogenous Indian Monsoon Region, which later improved monsoon forecasting over large areas of northern and eastern India. His work was published in the Journal of the Royal Meteorological Society (2009).

In 2010, Subrahmaniam invented an automated mixture analysis algorithm for identifying unknown substances based on its Raman spectra. This method was later granted a patent. “It was used by GE’s Homeland Protection business to identify unknown mixtures such as narcotics or drugs correctly,” says Subrahmaniam.

Though identification of mixtures from spectral data is a well-studied topic, Subrahmaniam developed the first ever method based on partial correlation to generate probabilities on all the identified mixture components. His work on this was published in the Journal of Applied Spectroscopy in 2010.

Over the last seven years, Subrahmaniam has been involved in creating a software system consists of self-learning algorithms, which analyse historical weather patterns at a location and predict the most repeatable patterns. It compares that information with the requirements for its clients, such as setting up a wind farm at that location, to come up with the best model to do so. The method has been adopted by GE’s wind business for setting up wind turbines.

Subrahmaniam has been involved in industry applications related to wind farming, power grids, transport and aviation.

“Over a period of time, the system that we have created has demonstrated verifiable results,” he says.

Subrahmaniam is now experimenting with deep learning, a new field in machine learning, which uses artificial neural networks to learn levels of representation and abstraction that make sense of data such as images, sound, and text, in a way the human brain learns and understands it.

“We are using new analytical models and deep learning for analysing historical weather data to increase the accuracy of our predictions,” he says. “We are also looking to use this model to expand our horizons and solve problems across various industries.”

Source : Google, LiveMint.

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COBOTS - The future friendly robots

A COBOT (Co-Robot), derived from word Collaborative Robot is the future of human evolution and exciting experiences, we humans will have in near future.

Cobots were invented in 1996 by J. Edward Colgate and Michael Peshkin, who were professors at Northwestern university.

The global economy and various industries are entering a phase of renaissance. Much of more advanced technologies are still out of reach of SMEs, but COBOTs (Collaborative Robots) are seeing a noticeable spike in popularity, precisely because of their affordability and emphasis on safety.

Colgate and Peshkin were thinking and discussing on a idea where, robots and humans can collaborate with each other, work in partnership and improve overall productivity and quality of life.

With lot of research and development leading to creation of COBOTS, first introduced in factories, assembly line workers were happy to see that COBOTS are not those typically machine type looking devices, but human type looking creatures and it was actually fun working with them.

Now, picture the assembly floor of car factory staffed by COBOTS who are interacting with humans. Not only interacting with humans, they are also interacting with cars they are assembling. The future could be a customer gives a specific customized requirement and COBOTS alongwith engineers are interacting to give best possible customized solution.

Exciting Times Ahead Indeed ... 

This blog is managed by Sudhir Pai who is a business consultant, trainer and author. After his engineering and PG, he has worked with corporates like Jetking, ICICI Bank and Kotak. He can be reached on 9820073993 (Mumbai-India)