Artificial Intelligence

The Perceptron is one of the simplest ANN architectures, invented in 1957 by Frank Rosenblatt. It is based on a slightly different artificial neuron called a threshold logic unit (TLU), or sometimes a linear threshold unit (LTU).Threshold logic unitA single TLU can be used for simple linear binary classification. It computes a linear combination of the inputs and if the result … [Read more...] about Neural Networks and Deep Learning with Keras Part-1🧙‍♂️

Sociological Inequity:Automation, AI & Non-Creative jobs.The sixty-two of the wealthiest human beings in this world own more than three and a half billion people.Almost half the world — over three billion people — live on less than $2.50 a day, nearly 1.6 billion people still have no access to electricity, almost 2 billion have no access to banking services. Only about 35% … [Read more...] about Consocio — Civilisational Singularity

Smaller Models Are Obtained Using Distillation. Faster Training for AlexNet on JFT Dataset.DistillationIn this story, Distilling the Knowledge in a Neural Network, by Google Inc., is briefly reviewed. This is a paper by Prof. Hinton.Model ensembling is a simple way to improve the model performance. Yet, it can be computational expensive, especially if the individual models are … [Read more...] about Review — Model Distillation: Distilling the Knowledge in a Neural Network (Image Classification)

Justin Reock, Chief Architect for OpenLogic at Perforce Software, describes what is software fuzzing and also why it is needed to have.Justin is the writer on a phase regarding fuzzing in a new publication coming from Perforce Software: “Accelerating Software Quality: Machine Learning & Artificial Intelligence in the Age of DevOps”.Free throw lines in between the digital … [Read more...] about Introducing program fuzzing — part of AI as well as ML in DevOps.

Image via DatanamiEver since the age of 7, I have watched basketball and followed our very own Toronto Raptors for the past 8 years of my life, rarely ever missing a game. Just 2 years ago, I was able to witness a championship run which in my eyes was the greatest performance by any singular team in a lifetime.From a gutsy trade that left millions of fans in tears, as we waved … [Read more...] about Artificial Intelligence’s Impact on Sports!

The best Buzz word in this world for these last 5 years is “Artificial Intelligence”. Everyone is selling AI as the solution for all the problems, the miracle for the issues in our societies, the magic that will let us finally live a life of prosperity and happiness. Do I agree with all these expectations? I do believe that AI is a powerful technology that can create amazing … [Read more...] about Who knows the AI Researchers? Part 1

OpenAI just released the paper explaining how DALL-E works! It is called “Zero-Shot Text-to-Image Generation”.It uses a transformer architecture to generate images from a text and base image sent as input to the network. But it doesn’t simply take the image, the text, and sends it to the network. First, in order to be “understood” by the transformer architecture, the … [Read more...] about OpenAI’s DALL·E: Text-to-Image Generation Explained

Image From https://www.desantisbreindel.com/Greetings fellow researchers,Scientific progress is moving relatively fast these days, with plenty of research happening all over the globe, and a large body of research literature being continuously produced.I have been thinking about ways that further accelerate scientific discovery and innovation, especially in the fields of … [Read more...] about Open-Source Research : A new approach to producing scientific papers through crowdsourcing

IntroductionMaster Popular Machine Learning AlgorithmsPerform An End-to-End Case StudyUse Data Analytics to Master Data ProcessingSummaryReferencesThis article is for people who are currently Data Analysts and want to make the career change to Data Science. From the outside eye, some would say the two roles are similar, but as we know, they require vastly different skills apart … [Read more...] about 3 Things I Did to Become a Data Scientist

Measuring the PerformanceWe have built different clustering algorithms, but haven’t measured theirperformance.In supervised learning, the predicted values with the original labels arecompared to calculate their accuracy.In contrast, in unsupervised learning, we have no labels, so we need to find a way to measure the performance of our algorithms.A good way to measure a … [Read more...] about Evaluating the performance of clustering algorithms