With growing concern over microplastics from ocean waste, autonomous underwater vehicles — AUVs — have been proposed as a tool for cleaning up our seas, but only if they can pick the plastics out from the fish: Enter these tweaked EfficientDets, boosting accuracy for the task.
With growing concern over microplastics from ocean waste, autonomous underwater vehicles — AUVs — have been proposed as a tool for cleaning up our seas, but only if they can pick the plastics out from the fish: Enter these tweaked EfficientDets, boosting accuracy for the task.
In this episode, we talk about how robotic technology is being leveraged to create a system capable of handling pizza dough and to offer an autonomous alternative that should address the primary shortcomings of conventional wheelchairs.
This article explores TPU vs GPU differences in architecture, performance, energy efficiency, cost, and practical implementation, helping engineers and designers choose the right accelerator for AI workloads today!
Understanding industrial vision systems by examining their components, imaging fundamentals, AI integration since 2020, and how to choose the right solution for every application.
Explore the rise of intelligent EV hardware and how real-time processing, ML acceleration, and hardware virtualization are enabling safer, smarter, software-defined electric vehicles.
Training AI models is costly, forcing a trade-off between compressing large models or accepting weaker performance from smaller ones trained from scratch.
With growing concern over microplastics from ocean waste, autonomous underwater vehicles — AUVs — have been proposed as a tool for cleaning up our seas, but only if they can pick the plastics out from the fish: Enter these tweaked EfficientDets, boosting accuracy for the task.
In this episode, we talk about how robotic technology is being leveraged to create a system capable of handling pizza dough and to offer an autonomous alternative that should address the primary shortcomings of conventional wheelchairs.
Designed to monitor the whole sky for signs of meteors, which can be traced back to their cometary origins, the CAMS project has recently received a big upgrade to its detection and visualization pipeline — with the SpaceML project bringing citizen scientists into the mix.
A framework that uses both audio and image modality for event classification– tested on COVID-19 prescreening and battlefield object detection, later evaluated on the Raspberry Pi 4 single-board computer.
Using satellite imagery or road schematic maps as "side information," the ViKiNG robot can plan its own miles-long route to a goal — measurably outperforming its strongest competitors, even when its side information is inaccurate or outdated.
Designed to bring machine learning to the Earth's last great frontier, a prototype smart sensor platform users on-device inference to classify marine mammal calls — powering itself exclusively from the sounds it captures.
Research from MIT suggests that a certain type of robust computer-vision model perceives visual representations similarly to the way humans do using peripheral vision.
This 3D vision system for a mobile robot picker consists of an AMR with a robotic arm equipped with the Photoneo 3D camera MotionCam-3D. The hand-eye setup allows you to scan and approach each object from an appropriate angle, distance, and position.
Designed as a necklace-style wearable in a 3D-printed case, SpeeChin is capable of recognizing 54 English and 44 Chinese voice commands — even if the wearer never says anything out loud.