Deploying VASmalltalk on Amazon AWS ARM servers

A while ago, I did some experiments with Amazon AWS and EC2 instances. Back then, they weren’t very different from a VPS except that you were charged based on the usage and the servers were easier to grow or shrink. But… much has changed since then and AWS now offers many services and features. One … More Deploying VASmalltalk on Amazon AWS ARM servers

“El Carrillon” project featured in the RaspberryPi magazine MagPi

Some time ago I blogged about a fantastic project Gerardo Richarte and I were doing with an 18-bell tower located in Argentina. Back then, I showed some details of the architecture, code, and how I mocked-up “El Carrillon” with a homemade LED piano so I could test it at home. Later on, I wrote another … More “El Carrillon” project featured in the RaspberryPi magazine MagPi

El Carrillon: playing MIDI songs on an 18-bell tower with a Raspberry Pi and Smalltalk

Some time ago I blogged about a fantastic project Gerardo Richarte and I were doing with an 18-bell tower located in Argentina. Back then, I showed some details of the architecture, code, and how I mocked-up “El Carrillon” with a homemade LED piano so I could test it at home. In this post, you will … More El Carrillon: playing MIDI songs on an 18-bell tower with a Raspberry Pi and Smalltalk

It’s 2019: stop reading text and start debugging!

If you are a programmer, I am sure you have found yourself many many times “debugging” a system by writing strings to the console / stdout / file. Those messages were usually something like “passed here!”, “false branch”, “now about to enter loop” and maybe even some “fuc..” or “WTF” too. If you were “lucky” … More It’s 2019: stop reading text and start debugging!

Getting Started with Nvidia Jetson Nano, TensorFlow and Smalltalk

On all my previous posts (like this one) you can see VASmalltalk running on any Raspberry Pi, on Rock64 and even on Nvidia Jetson TX2: In addition, you can also see previous posts where I show how to use TensorFlow from Smalltalk to recognize objects in images. Last week, at ESUG 2019, I demoed a … More Getting Started with Nvidia Jetson Nano, TensorFlow and Smalltalk

Object Detection with TensorFlow and Smalltalk

In a previous post we saw basic object recognition in images using Google’s TensorFlow library from Smalltalk. This post will walk you step by step through the process of using a pre-trained model to detect objects in an image. It may also catch your attention that we are doing this from VASmalltalk rather than Python. … More Object Detection with TensorFlow and Smalltalk

Recognizing objects in images with TensorFlow and Smalltalk

In this post, I will be showing a simple example of object recognition in images using the TensorFlow library from Smalltalk. Doing Machine Learning without Python? With Smalltalk? Seriously? Whenever you start entering the world of AI and Machine Learning you will notice immediately that Python has been widely accepted as the “default” programming language … More Recognizing objects in images with TensorFlow and Smalltalk

The battle continues: Build TensorFlow C Binding for Raspberry Pi in 2019

In a recent post I showed up how challenging it still is to build TensorFlow C bindings for Raspberry Pi and other SBCs (Single Board Computer) and the lack of pre-build binaries. As you could read, I was successful with certain approach (cross-compiling with a RaspberryPi-only script) but I wasn’t yet able to compile on … More The battle continues: Build TensorFlow C Binding for Raspberry Pi in 2019

Challenge Accepted: Build TensorFlow C Binding for Raspberry Pi in 2019

Believe me. Setting up the environment and building TensorFlow C binding for Raspberry Pi is more complicated than training a neural network that makes me rich by robo-trading assets. Motivation As SBCs (Single Board Computer) get more and more powerful and cheap, the more likely we will want to run some more heavy computation on … More Challenge Accepted: Build TensorFlow C Binding for Raspberry Pi in 2019

Sensor, process and transparently persist your IoT data with an end-to-end object-oriented system

Let’s suppose a typical IoT / Edge Computing developer/deployment stack: One (maybe low-level) language with its own syntax and IDE to read/write data from sensors or anything GPIO-related. Another (likely high-level) language / IDE that applies business logic at increasing complexity into the collected data. A database. It’s likely that language 1) and 2) are … More Sensor, process and transparently persist your IoT data with an end-to-end object-oriented system