RunwayML Puts Machine Learning in the Hands of Creators #machinelearning #runwayml #creators @runwayml @shiffman
RunwayML object localization with COCO-SSD.
Runway is a platform built for creators to use machine learning ‘out of the box’. The goal of the project is to make machine learning more accessible:
We are fostering a unique community where machine learning stops being an exclusive technology and becomes a comprehensive instrument for creators. Runway was built with a simple idea in mind: let’s put machine learning in the hands of creators.
The RunwayML beta was announced on Twitter in June. The application has a plethora of pre-trained machine learning models that can be used for processing images, videos and more. If you’d like to see it in action, Daniel Shiffman posted a helpful Introduction to RunwayML on his YouTube channel this week. Shiffman is an advisor to Runway ML and has some great advice for getting started. If you’d like to learn more, take a look at the RunwayML learn guides or GitHub.
Stop breadboarding and soldering – start making immediately! Adafruit’s Circuit Playground is jam-packed with LEDs, sensors, buttons, alligator clip pads and more. Build projects with Circuit Playground in a few minutes with the drag-and-drop MakeCode programming site, learn computer science using the CS Discoveries class on code.org, jump into CircuitPython to learn Python and hardware together, or even use Arduino IDE. Circuit Playground Express is the newest and best Circuit Playground board, with support for MakeCode, CircuitPython, and Arduino. It has a powerful processor, 10 NeoPixels, mini speaker, InfraRed receive and transmit, two buttons, a switch, 14 alligator clip pads, and lots of sensors: capacitive touch, IR proximity, temperature, light, motion and sound. A whole wide world of electronics and coding is waiting for you, and it fits in the palm of your hand.
Have an amazing project to share? The Electronics Show and Tell with Google Hangouts On-Air is every Wednesday at 7:30pm ET! To join, head over to YouTube and check out the show’s live chat – we’ll post the link there.
