Distributed learning in an on-premise cluster
The Current State of Self-Driving Technology
30 October, 2020
The advances of technology in our world have continued to increase and self-driving cars are the next logical step for our society. This poses a fundamental question: do we know how safe autonomous vehicles can be? SAE International is an organization who describes a categorization for "levels of driving automation". It defines six levels of automation for cars, ranging from Level 0 (no driving automation) to Level 5 (full automation), transitioning gradually from "driver support features" to "
I heard that you're playing with SEO
27 October, 2020
Hey people, hello again, this time we're going to talk about SEO 📈📊 In this article I'll walk with you through the path I followed to improve the visibility of this blog you're accessing right now. A bit of context... This is a Gatsby + Ghost blog, and as you may know, it is a static site. Gatsby generates the bundle and we keep our posts on Ghost. Gatsby access these posts using the awesome Ghost Source Plugin and we deploy the bundle on
Mineral Mining and Blockchains - a good example of blockchain use outside of cryptocurrencies.
26 October, 2020
Blockchain became a buzz word by 2017, made famous by the single-use case that for many people seemed almost synonymous with Blockchain –Bitcoin. The question on people's minds was: "What is blockchain, and how can I make money with it?" What really drew attention was the valuation of a single Bitcoin hitting an astonishing $20,000 in December 2017, a peak that it has not been able to climb again after rolling back down to $3,000 within a year. But the blockchain rush was on. Investors were fr
Ranking labs-of-origin for genetically engineered DNA using Metric Learning
23 October, 2020
With the constant advancements of genetic engineering, a common concern is to be able to identify the lab-of-origin of genetically engineered DNA sequences. For that reason, AltLabs has hosted the Genetic Engineering Attribution Challenge to gather many teams to propose new tools to solve this problem. Here we show our proposed method that aims to rank the most likely labs-of-origin and generate embeddings for DNA sequences and labs. These embeddings can also be used to perform various other tas
7 common mistakes of a machine learning beginner
15 October, 2020
In recent years, the term Artificial Intelligence has gained strength and together with it have emerged some professions such as Data Scientist and Machine Learning Engineer. Knowing and applying machine learning is attractive and appears to be the path to success. However this path can be troubled and especially discouraging for those who are just starting out. Over the years working as a Data Scientist and Machine Learning Researcher, I have witnessed several common mistakes that made life di
AI Infrastructure Alternatives for your Business
13 October, 2020
With cloud offerings becoming more abundant and diverse, cloud infrastructure seems to offer a much cheaper and simpler alternative to an on-premises data center. Many organizations, that need Artificial Intelligence to help with decision-making, problem-solving, etc. face a complicated decision: what is the best infrastructure deployment for AI workloads? Generally speaking, there are three possible deployment options. You can run your AI on-premises in your own datacenter, rent some space at
Angular Applications at Scale
09 October, 2020
In this article, we'll look at how to build large Angular applications. I'll discuss techniques that will help you keep your project scalable, maintainable and robust.
What Kind of AI Infrastructure is Best for my Business?
30 September, 2020
In this week's Exponential Chats, some of the team members responsible for Amalgam's development will have a chat about the various infrastructure alternatives available when it comes to training and deployment of Artificial Intelligence models. Between Cloud, Colocation, and On-Premise which one would you say is the best infrastructure for your AI needs? Come join us and participate by asking questions or giving your opinion in the live chat. - Adriano Marques is the founder and CEO of Exponen
Docker for beginners
24 September, 2020
Hello you all, in this article I'll try to explain the concepts of Docker and how you can dockerize your app with no suffering, so leeeeeet's go 🤓 -------------------------------------------------------------------------------- Objective The objective of this article is to provide you the actions needed to get an up and running application with Docker and docker-compose. You'll also learn how to upload and download it from local registries and the almighty Dockerhub. Have fun. ------------
Are there any real-world application of Blockchains outside of Cryptocurrencies?
23 September, 2020
In this week's Exponential Chats, we have a special guest discussing with us some real-world applications of Blockchains outside of Cryptocurrencies and whether those applications are really using and benefitting from this technology. Come join us and participate by asking questions or giving your opinion in the live chat. - Adriano Marques is the founder and CEO of Exponential Ventures. - Nathan Martins is a Machine Learning/DevOps Engineer at Exponential Ventures, where he works on projects t
The Eight Challenges You'll Face With On-Premise Artificial Intelligence
18 September, 2020
As glamorous as it is to have your own Artificial Intelligence Optimized On-Premise Data Center, it doesn't come easy. It is absolutelly true that if done right it boasts much better performance and much lower costs than resorting to the cloud or even using co-location to perform your processing workload when creating AI driven solutions. However, most people are not aware of what really makes an AI Optimized Data Center and end up building an expensive half-baked solution that can't perform o
My journey so far
17 September, 2020
My journey at Exponential Ventures started mid-2019 when I flew 7000 km to Exponential Venture’s headquarters in Chicago. During my first day of work at the HQ, I met the team members, saw their data center with several servers and XNV’s (that's how we abbreviate the company's name) lab where there is a laser cutter, 3D printers, and a CNC machine. Right at the beginning two of my beliefs changed: Machine Learning (ML) is easy and cheap and Python has a weird syntax that I will hate it forever.