Accurate Timing
In many tasks we need to do something at given intervals of time. The most obvious ways may not give you the best results.
Bringing an Idea to Life: WatchWah Proof of Concept
"Wouldn’t it be cool if…"
We’ve all had that thought about something. How do you get from there to a product you can use and share with others? When I found myself playing with an idea that seemed exciting and new, I decided to capture some notes on the process, from the perspective of an Engineering Manager at a company that’s all about implementing people’s creative visions.
Re-animated
Last year, I posted here about an animation control framework called ‘Friz’ that works within the JUCE Application Framework.
As I said in that post:
Making Spectrograms in JUCE
Spectrogram of swelling trumpet sound
Art+Logic’s Incubator project has made a lot of progress. In a previous post I mentioned that Dr. Scott Hawley’s technique to classify audio involved converting audio to an image and using a Convolutional Neural Network (CNN) to classify the audio based on this image. That image is a spectrogram. I’m going to go into some detail about what we do to create one, and why to the best of my ability.
Discover Machine Learning
Computers have been around for less than 100 years. In that short period of time, some incredible things have happened: they’ve been universally adopted so quickly that we have them in our houses. In our cars. Even in our pockets. In the last 40 years, there have been many significant events when it comes to computers:
- Continuous decrease in size and increase in power.
- Access to computing at home and at work.
- Networking, the spread of the internet, and acceptance of the web.
- Computers in our hands (cell phones).
Similarly to those past events, an important development in computer science which has the potential to significantly impact the way we develop applications is machine learning and artificial neural networks.
