Create your own Interactive LED Beer Pong Table! This instructable will guide you through all of the steps to in order to create a one-of-a-kind beer pong table complete with cup detecting RGB pods, automatic ball washers, a 32×12 ping pong ball LED grid, side LED rings for spectators and an RF interface to communicate …
AAEON, a leading developer of IoT solutions, releases the BOXER-6405, an ultra-compact edge AI system for smart factory applications. Fitted with four USB3.0 ports and three COM ports, this versatile device can easily be connected to a range of factory equipment. Measuring just 166mm x 106.6mm x 37mm, the BOXER-6405 can be deployed in the tightest of …
WORK FASTER, WORK SMARTER, WORK SAFER WITH THE BOXER-6405 EDGE AI SMART FACTORY SYSTEM Read More »
Intel has developed a first-of-its-kind self-learning neuromorphic chip – codenamed Loihi. It mimics the animal brain functions by learning to operate based on various modes of feedback from the environment. Unlike convolutional neural network (CNN) and other deep learning processors, Intel’s Loihi uses an asynchronous spiking model to mimic neuron and synapse behavior in a much …
Intel Introduces Loihi – A Self Learning Processor That Mimics Brain Functions Read More »
Last week, Intel launched the Movidius Neural Compute Stick, which is a deep learning processor on a USB stick. This USB stick was not an Intel invention. In fact, Intel had acquired Movidius company that had produced last year the world’s first deep learning processor on a USB stick based around their Myriad 2 Vision Processor. Neural Compute …
A small team of researchers led by Peter Baltus, professor of microelectronics at the department of Electrical Engineering at Eindhoven Institute of Technology, the Netherlands, has developed small circuit boards equipped with sensors that can easily fit into a small golf-sized ball. While moving inside a pipeline, these swarm of smart marbles or balls can detect any obstacles, damages …
SMART MARBLES AND AI TO DETECT FLAWS IN PIPELINES Read More »
