The geoglyph was discovered during a larger research project by Yamagata University. Over a decade, using a combination of on-site surveying and aerial imagery, archeologists from the university manually identified 142 new designs in the desert. Then, working with researchers from IBM Japan, they used machine learning to scan the data for designs missed in earlier studies. This revealed geoglyph number 143, our fellow with the cane. It’s the first design in the Nazca Lines to be discovered with the help of artificial intelligence.
This work is another example of how machine learning can help scientists, especially when faced with tasks involving large datasets. Algorithms can be trained to search through certain sorts of information just like humans, looking for patterns and anomalies. Building these tools can be tricky, but once trained, such algorithms are tireless and consistent. They have been used to track down everything from gravitational lenses to earthquakes.
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, TinyGO, or even use the Arduino IDE. Circuit Playground Express is the newest and best Circuit Playground board, with support for CircuitPython, MakeCode, 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 is every Wednesday at 7pm ET! To join, head over to YouTube and check out the show’s live chat – we’ll post the link there.
Python for Microcontrollers — Python on Microcontrollers Newsletter: ESP32 Web Workflow for CircuitPython, CircuitPython Day 2022 and more! #CircuitPython @micropython @ThePSF @Raspberry_Pi
