TechnologyIQ

Cat Ears Prototype 2 Test Run from Jazz DiMauro on Vimeo . "I built mind-controlled ears as a way to learn how to build my own arduino-based designs," writes Jazz DiMauro. "Challenges included cable management and designing custom servo hardware to attach to the asymmetrical EEG headset." See also Jazz's Witch Lights. Sketches and plans galore! [via Hacker News] Read 3D-printed cat ears controlled by brain waves | Boing Boing via Boing Boing An interesting link found among my daily reading

Have your remote meeting and whiteboard too Collaborate on real whiteboards and notebooks in remote and hybrid meetings. Read Grapic | Remote whiteboard with real pen and paper via Grapic An interesting link found among my daily reading

A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it possible to run real-time object detection on devices with very small computation and memory capacity. Called Faster Objects, More Objects (FOMO), the new deep learning architecture can unlock new computer vision applications. Most object-detection deep learning models have memory and computation requirements that are beyond the capacity of small processors. FOMO, on the other hand, only requires several hundred kilobytes of memory, which makes it a great technique for TinyML, a subfield of machine learning focused on running ML models on microcontrollers and other memory-constrained devices that have limited or no internet connectivity. Read FOMO is a TinyML neural network for real-time object detection via TechTalks An interesting link found among my daily reading

Procedural Snowflake with code View the code Play With  Procedural Snowflake

At first glance, this little animatronic mouse might seem like a fairly simple affair. A door opens, our rodent friend pops its head out, looks around, and goes back in. But just like in The Wizard of Oz, a strategically placed curtain is hiding the impressive array of gadgetry that makes the trick possible. Creator [Will Donaldson] has put together a fantastic write-up of just what went into creating this little fellow, and we think you’ll be surprised at just how serious the mechanics involved are. Take for example the rig that provides horizontal motion with a NEMA 17 stepper motor mated to a 200 mm leadscrew and dual 8 mm rail assembly that would like right at home as part of a 3D printer. Read Peek Behind The Curtain Of This Robotic Mouse via Hackaday An interesting link found among my daily reading

I know that I spend so much time editing out filler words in the podcasts that I produce and something like this could be very useful. that said, the timing involved in editing these out is a major part of the quality of a podcast. I would need to try it out a few times to see if it meets my own editing sensibilities. One feature that might help with this is the “TimelineExport” which shows you the edits Cleanvoice recommends and then allows you to manually edit them. This would give you a lot more control over the final product. – Douglas Cleanvoice is an artificial intelligence which removes filler sounds, stuttering and mouth sounds from your podcast or audio recording Read Cleanvoice – Automated Podcast Editing via Hacker News An interesting link found among my daily reading

Read Getting ready for a 2 year timelapse #unbox #raspberrypi #timelapse via TikTok An interesting link found among my daily reading