To strengthen the case for noninvasive BCIs, Carnegie Mellon researchers have demonstrated that through precision neuromodulation using focused ultrasound, the performance of a BCI could be improved for communication.
To strengthen the case for noninvasive BCIs, Carnegie Mellon researchers have demonstrated that through precision neuromodulation using focused ultrasound, the performance of a BCI could be improved for communication.
A new study that integrates machine learning, optimization, 3D printing and stress experiments allowed engineers to gain insight into these natural wonders by developing a material that replicates the functionalities of human bone for orthopedic femur restoration.
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.
To strengthen the case for noninvasive BCIs, Carnegie Mellon researchers have demonstrated that through precision neuromodulation using focused ultrasound, the performance of a BCI could be improved for communication.
A new study that integrates machine learning, optimization, 3D printing and stress experiments allowed engineers to gain insight into these natural wonders by developing a material that replicates the functionalities of human bone for orthopedic femur restoration.
In this episode, we discuss how a talented team of researchers from Stanford university have created a robotic platform capable of imitation learning for conducting over 850 common tasks, including searing shrimp!
Facing the challenge of reducing R&D time for the design and production of high-precision car accessories, Weldbeat Australia turned to Photoneo’s MotionCam-3D camera and 3D Instant Meshing software to streamline their prototyping process, enabling the design and rapid testing before production.
In this episode, we discuss how a PhD student from the Technical University of Eindhoven might’ve cracked the code for high performance computer vision without compromising efficiency.
Wageningen University & Research is spearheading a pilot project focused on advancing cucumber plant phenotyping with unprecedented speed and accuracy, leveraging Photoneo's cutting-edge MotionCam-3D Color camera for the creation of digital twins with color and texture.
The X30 and the Lite3, two quadrupedal robot models from DEEP Robotics, showcase their locomotion and perception capabilities at the 2024 IEEE ICRA in Yokohama, Japan from May 13 to 17.
Stanford engineers created a low-cost, mobile robot that quickly learned to sautée shrimp, put away dishes, and clean up spills. Other tasks aren't far behind.
A four-legged robot trained with machine learning by EPFL researchers has learned to avoid falls by spontaneously switching between walking, trotting, and pronking – a milestone for roboticists as well as biologists interested in animal locomotion.