In 2013, Neuroscientist Christof Koch, chief scientific officer at the Allen Institute for Brain Science, observed that consciousness arises within any sufficiently complex, information-processing system. All animals, from humans on down to earthworms, are conscious; even the internet could be.Continue reading… Human Brain’s Biological Algorithm Mirrors the Internet -“May Not Be a Coincidence”
Analysis of data can improve customer experience and be the lifeline which keeps major banks afloat in a rising tide of institutional regulation aimed at maintaining a buoyant financial system Banks around the world are being confronted with a recordContinue reading… How banks use data?
Shutterstock Big data is imperative to business—and the amount of data in circulation and storage needed increases daily. Most forward-thinking businesses recognize the value of this data and leverage it as a decision-making factor for business strategy, but they don’tContinue reading… Data as a Service: The Big Opportunity for Business
Take a look at the following two pictures. One was painted by contemporary artist Leonid Afremov, and the other was painted by an algorithm mimicking his style. The first image is the Afremov’s Rain Princess, and the second image isContinue reading… An AI That Can Mimic Any Artist
Millions of images and YouTube videos, linked and tagged to teach computers what a spoon is. It seems like we hear about a new breakthrough using machine learning nearly every day, but it’s not easy. In order to fine-tune algorithmsContinue reading… Google releases massive visual databases for machine learning
World’s Biggest Data Breaches Selected losses greater than 30,000 records (updated 5th Jan 2017) http://www.informationisbeautiful.net/visualizations/worlds-biggest-data-breaches-hacks/
What’s my place in the world population? How long will I live? The Journey of your life in numbers and dates! http://www.population.io/#/1982/05/03/male/Norway/home
An average data scientist deals with loads of data daily. Some say over 60-70% time is spent in data cleaning, munging and bringing data to a suitable format such that machine learning models can be applied on that data. ThisContinue reading… Approaching (Almost) Any Machine Learning Problem