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Covid-19 in The Age of Technology and The Homo Deus

As I write these words we’ve just passed one million known infected with COVID-19 and the economies of the “advanced” world are certainly going into a recession (two quarters of negative growth). In a globalised world physically connected by just over 100,000 flights per day, contagious disease populates the world in a matter of weeks. With a global mortality rate of around 10%, despite modern medicine, this is yet another global “plague”. But we as a globally connected society have new tools (such as lung ventilators) and new tricks (social distancing). This is also the most controlled and managed global recession ever, with large companies, governments, central banks, healthcare and supranational bodies discussing how to manage the shock of a formidable biological enemy. We live in the era of the Humans, or Anthropocene. A term popularized by Yuval Noah Harari, author of Homo Sapiens and Homo Deus, that reflects on the novel nature of a hyperconnected human world that has incredible specialization and information. Allowing it to model nature (think antivirals, vaccines) and program the future (think genetic editing and GMO crops). What’s happening now is at a macro level what immune systems try on viruses. An impressive array of coordinated […]

Machine Learning in the Browser with Tensorflow.js

Machine learning in the browser is the newest kid on the block within web edge technologies. By the end of this article, you will know the basics behind machine learning in the browser and how Javascript, with the help of WebGL, allows us to train and run models directly to the client-side. Machine learning in the browser is only adequate to run smaller models as it runs over the edge. It cannot run the larger models of traditional machine learning. This is where we will focus as developers. In this article we will cover: What is Machine Learning Neural Networks Heavy Machine Learning vs Edge Machine Learning Tensorflow & Tensorflow.js Blank Training vs Transfer Learning Using Stable Pre-trained Models Usage in Production Machine Learning Machine learning is all about mapping real-world problems to numbers. In a nutshell, first, we map the real-world problem to a number. Then we feed the computer some data and the computer processes that information — and predicts some probability (0–100%) based on the labels we’ve defined with our data. Once it has learnt this information it can answer questions related to it with high accuracy. Some examples of this are: Identifying an image OCR (Optical Character Recognition) […]

Cláudio Teixeira

Proptech 3.0 and The Rise of Crypto Securitization in Real Estate

Proptech or Real Estate Technology has had several stages in its yet short-lived existence. The consensus is that soon we will have more startups that will automate several processes in time-consuming and expensive usages. But the truly revolutionary aspect will be the advent of Crypto Securitization. According to Oxford’s Said Business School Proptech Report, we are now charging ahead towards new ventures aimed at reaching Proptech 3.0. This could bring along sophisticated asset analytics and even trading capabilities that could make real estate significantly more liquid. To an extent that might make it almost as liquid as financial assets via crypto securitization. It will be the financial sector (Fintech and Crypto Tech) leading the way and real estate (Proptech) will keep being a use case scenario for many of the novelties coming from them. Some innovations in Proptech, such as deploying smart energy production or consumption analysis will however not be in any way related to Fintech. Hence proving that Proptech is not under the Fintech umbrella but rather at the intersection of different segments. PropTech 1.0 Proptech 1.0 is really about the inception of the usage of technology to list and analyse real estate assets. Websites from realtors and aggregators such as Zillow.com in the US, Rightmove.co.uk have been providing essential […]

Angulartics2 – A Powerful Analytics tool for Angular Applications

We’ve created the open-source library Angulartics2 to plug into your Angular single-page app (SPA) for analytics integration. It allows you to do event tracking and it is ready to integrate with Google Analytics, Google Tag Manager, Kissmetrics, Mixpanel, Piwik, Segment, Baidu Analytics and Facebook Pixel. Problem Most analytics providers do not automatically track the browser’s navigation history, making it difficult to track single-page applications (SPAs) like Angular applications. Simple Solution To tackle this problem we developed a simple open-source library called Angulartics2. By plugging Angulartics2 in your Angular apps it will automatically track navigation events and send them to your plugged-in Provider, such as Google Analytics. Angulartics2 also comes with easy ways to send custom events to your providers enabling you to easily send any kind of event such as when your users buy an article or download a file. This is mostly useful for tracking conversion within your apps. Diving into some simple code snippets Plugging Angulartics2 into your Angular app is simple and similar to any other module You have to import Angulartics2Module.forRoot() into your main module and pass an array with the providers you are using. Then, in you main component you need to pass each provider to the component constructor function. And that’s it, you now have automatic page tracking. Make […]