October 5, 2021

By Ilana Stolovas

May 26, 2021

By Rodrigo Beceiro

When electronics meets machine learning

In this post we attempt to summarize the experience of working on a project that combines signal processing, machine learning and electronics. Its goal was to develop a manipulable sensor-embedded device from which to infer the kind of movement or activity performed by its user. By inference we mean the classification of the activity based … Continued

MLOps: Just DevOps for machine learning?

The following article tries to summarize what is exactly ML Ops and attempts to give a few guidelines for anyone trying to dive into it (or assess if you need to dive into it).    Let me start by saying that MLOps is just the new hype in AI. This has started as a set … Continued

Model distillation: leveraging lack of data with StyleGAN2

  In this blog we are going to talk about a technique called model distillation, and how can it be used to train supervised models from synthetic datasets created with GANs. With this technique, we can take advantage of the properties of unconditional image generation and use them in conditional models, with an outstanding improvement … Continued

How to optimize your model with TF-TRT for Jetson Nano

In this post we will grab a Tensorflow 2 model, optimize it with NVIDIA TensorRT, and deploy it for inference on a JetsonNano. First of all, is optimizing necessary? Short Answer: no. You might have reached to the conclusion that using TensorRT (TRT) was mandatory for running models on the Jetson Nano, this is however, … Continued

Speech synthesis and voice cloning

Speech synthesis literally means producing artificial human speech. It presents a lot of practical applications, such as music generation, text-to-speech conversion or navigation systems guidance. Traditional approaches for speech synthesis involved searching for speech units that match an input text on a large database and concatenate them to produce an audio file. It often resulted … Continued

NeurIPS official meetup 2020

At Marvik, we are proud to announce that we were selected to organize an official NeurIPS 2020 meetup. Neural Information Processing Systems annual meeting -aka NeurIPS- is one of the most prestigious Machine Learning conferences. The meetup will be hosted virtually during NeurIPS, from December 7th through December 10th. Stay tuned, more details and confirmed … Continued

Social Distancing: a computer vision approach

Social distancing has been proven to be one of the most effective measures against the spread of the new Coronavirus (COVID19). As part of the so-called ‘New Normality’, many institutions have implemented different ways of controlling distances, from stickers on the floor up to applications or alarm bracelets. This post will present a computer vision … Continued

AWS Sagemaker Neo with Keras

Quickly validate if SageMaker Neo will lower latency and costs. You have your new shiny model and want to lower latency and costs, let’s get up and running.   In this post we will: Save a trained Keras model Compile it with SageMaker Neo Deploy it to EC2   1. Compile model Where you feed your model to Neo. We will … Continued

Marvik Named a Top B2B Company in Uruguay

At Marvik, we put our customers first! Our mission is to help make artificial intelligence seamless and ubiquitous by helping companies identify opportunities, leverage their data, and make data-driven decisions to transform businesses realities. Every year, Clutch announces their Leader Awards, the highest-ranking B2B companies according to geographic location and service lines. This year, they … Continued

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