Tagged in Exponential Technology
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Distributed learning in an on-premise cluster
08 January, 2021
Have you tried any distributed learning algorithms? If you are just starting out in this area, I have my doubts, but if you have been on this path for a few years, you might have faced one of those models. The incredible development of the machine learning area in the last decade has not only brought a new state of the art to several problems but has also taken processing optimization and parallelization to another level. With increasingly larger models, any common machine or even a single sup
Machine Learning Reproducibility: A Kaggle Competition Use-Case
16 December, 2020
Even though Reproducibility in Machine Learning is a theme that people hear about now and then, we still see that people are practicing it only to a certain degree. Even between Kaggle [https://www.kaggle.com/] competition winners, we still see a lot of hard-to-reproduce code in Notebooks. Our goal here is to outline some reproducibility elements and how we tackled them in a recent competition. First, what reproducibility stands for in Machine Learning? During a Machine Learning project, we hav
The path to putting your ML model in production
24 November, 2020
Suppose you are a Data Scientist or Machine Learning Engineer (or another role name of this kind). You took your time to analyze your dataset, clean it, and prepare it to train your model. You then prepared many model candidates using the most recent techniques and took your time to fine-tune them. After all this extensive work, you finally created a model to be proud of. You finally finished your job. Well, unfortunately, not. If your model never goes live and is actively used, delivering value
Is it a good idea to run data centers underwater?
24 November, 2020
There are major infrastructural challenges in running large scale data centers. One is providing sufficient electric power to keep the facility running. A datacenter running tens of thousands of servers consumes roughly 10 Megawatts of power. Servers not only consume vast amounts of energy, they also generate a lot of heat. The air inside a data center will become sweltering unless you cool it down. Servers cannot function reliably in high temperatures. The cooling solution needs to be both hi
Deep Learning and the fear of frauds
09 November, 2020
Soon we might live in a world where one can never be sure that video and voice recording is real, no matter how realistic it looks and sounds. Deep learning methods are used with artificial neural networks to create what is known as deepfakes – visual and audio content that, to the naked eye, looks absolutely real. The potential uses of deepfakes are limited only by the imagination of people who have access to the technology required to manufacture them. As technology advances, the tools for cr
Overview on the current state of 3D Printing
05 November, 2020
3D printing used to be mostly the realm of hobbyists. As the technology evolved, it became an essential manufacturing method for many industries. Several cars today have 3D printed parts. 3D printing has enabled many startups to bring their products to market. For example, in one of his interviews, George Hotz who started a company to produce a gadget that makes virtually any car self-driving, mentioned that the casings for the gadgets are 3D printed in the company’s office. The most widely use
Are you ready for your Neuralink Brain Implant?
31 October, 2020
Human brain consumes incredibly low amounts of energy, has great longevity, and requires little maintenance. No man-made computing hardware comes even close to a human brain in these qualities. Right now, the brain is mostly a black box to us. We know verry little about how it works. As of yet, scientists have had a limited toolset to study the inner workings of a human brain. Devices that interface with the brain could help us better understand it, repair, and possibly improve it. The most pr
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 "
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
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
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