Synthetic Sound

Trained a model to create a synthetic sound that sounds like me. This is after training it with about 30 sentences - which isn’t a lot. To create a synthetic voice, you enter some text, using which is then “transcribed” using #AI and your synthetic voice is generated. In my case, at first, I had said AI, which was generated also as “aeey” (you can listen here ). So for the next one, changed the AI to Artificial Intelligence....

June 3, 2018 · Amit Bahree

My self-driving car

Over the last few weeks, I built a self-driving car - which essentially is a remote control Rx car that uses a raspberry pi running Python, TensorFlow implementing a end-to-end convolution neural network (CNN) Of course other than being a bit geeky, I do think this is very cool to help understand and get into some of the basic constructs and mechanics around a number of things - web page design, hardware (maker things), and Artificial Intelligence principles....

May 31, 2018 · Amit Bahree

AI photo and style transfer

Can #AI make me look (more) presentable? The jury is out I think. This is called style transfer, where the style/technique from a kind of painting (could be a photos too) is applied to an image, to create a new image. I took this using the built-in camera on my machine sitting at my desk and then applying the different kind of ‘styles’ on it. Each of these styles are is a separate #deeplearning model that has learned how to apply the relevant style to a source image....

May 22, 2018 · Amit Bahree

Artificial Intelligence (AI)

Yesterday it worked Today it is not working #AI is like that #Haiku #GeekyHaiku #GeekyJokes

March 1, 2018 · Amit Bahree

DARPA's perspective on AI

One of the challenges we have with AI is that there isn’t any universal definition - it is a broad category that means everything to everyone. Debating the rights, and, the wrongs, and the should’s and the shouldn’t s is another post though. DARPA outlines this as the “programmed ability to process information” and across a certain set of criteria that span across perceiving, learning, abstracting, and, reasoning. AI Scale Intelligence They classify AI in three waves - out outlined below....

October 11, 2017 · Amit Bahree

Cognitive Bias

Cognitive Bias

September 28, 2017 · Amit Bahree

Machine Learning basics

Thinking about #machinelearning? It will be helpful to understand some numerical computations and concepts that affect the #ML algorithm. One might not interact with these directly, but we surely can feel the effect. The things you need to think about are: 1. Overflow and underflow - thinking of them as rounding up or down errors that shift the functions enough, and compounded across the iterations cam be devastating. Of course can also easily get to division by zero....

June 4, 2017 · Amit Bahree

Whats the difference between #AI, #ML, and #DeepLearning?

I know I have had to explain this a lot in most #AI related conversations that I have had - and lately those have been quite a lot. In my experience, most people use these terms interchangeably when they are meaning one over the other. Whilst they all are (inter)related and one might help trigger the other, they are still fundamentally different and at some point, it is good to understand the differences....

May 25, 2017 · Amit Bahree

Core principle of Machine Learning

There of course are many, but for someone coming from computer science, and, software engineering, where the environment is relatively clean and certain (deterministic), it usually is a leap to understand that Machine Learning (and other elements of #AI) are not. Machine learning, is based on probability theory and deals with stochastic (non-deterministic) elements all the time. Nearly all activities in machine learning, require the ability to factor and more importantly, represent and reason with uncertainty....

April 4, 2017 · Amit Bahree

HoloPortation - Limits of Human Kind

When it comes to AI and the limits of human kind, what better example that shows the art of the possible than what Microsoft is doing with special awareness and HoloLens and other sensors. And not only can this replay time and allow you to have a ’living memory’ but it also is mobile. I do believe we are living in the great time ever! :)

March 17, 2017 · Amit Bahree

Neural Networks

Of course you heard of Neural Networks! In the context of #AI they are all the buzz of course. You might have heard of some such as DFF (Deep Feed Forward) or RNN (Recurrent neural networks)? Or perhaps you meant Recursive neural networks? Irrespective, it can be quite messy as you can see below and it would be somewhat important to have some understanding of the differences. And in case you are thinking, well what good or use is all this?...

March 16, 2017 · Amit Bahree

Object and scene detection with #AI

Continuing the previous #ArtificialIntelligence theme. Wanted to see what and how does Amazon’s rekognition work and different from the #AI offerings from the others, such as Microsoft. Here is a #ProjectMurphy image’s confidence score. I am glad to see that there is a 99% confidence that this is a person. Object and Scene detection The request POST is quite simple: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 { "method": "POST", "path": "/", "region": "us-west-2", "headers": { "Content-Type": "application/x-amz-json-1....

December 2, 2016 · Amit Bahree

Playing with #AI

So, been spending a lot of time recently around many things related to Artificial Intelligence (#AI). More on that some day. :) Was curious about yesterdays Amazon’s announcement to jump on this bandwagon. Of course Microsoft and others have been there. I don’t know to what extend has Amazon been working on this, but given Alexa has been out for a couple of years, I know they have had rich pickings of tuning this further....

December 1, 2016 · Amit Bahree