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TENN, developed by BrainChip, is an efficient AI technology designed for edge and event-based processing, reducing energy and computational demands for applications in various sectors.
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featured
TENN, developed by BrainChip, is an efficient AI technology designed for edge and event-based processing, reducing energy and computational demands for applications in various sectors.
Featured
Executives cite an "increasingly dynamic and competitive environment" as the driving force behind AI adoption.
Featuredcase study
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.
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Latest Posts
TENN, developed by BrainChip, is an efficient AI technology designed for edge and event-based processing, reducing energy and computational demands for applications in various sectors.
4 minutes read
Executives cite an "increasingly dynamic and competitive environment" as the driving force behind AI adoption.
7 minutes read
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.
3 minutes read
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.
15 minutes read
Explore BrainChip's latest advancements by tuning into Episode 5 of their Quarterly Investor Podcast. CEO Sean Hehir addresses critical topics for shareholders, including the successful Akida space launch, takeaways from the Embedded World Conference, and updates on the Akida Edge AI Box.
4 minutes read
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.
3 minutes read
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.
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For the first time, the assistance robot GARMI demonstrates that it can directly combine specific skills and support seniors throughout the day.
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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.
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Pose detection technology leverages advanced machine learning algorithms to interpret human movements in real-time, enabling seamless, intuitive device control through simple gestures.
Noise suppression includes both emission and immunity suppression, and various measures are in place in robots to prevent malfunction due to immunity.
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Combining advances in display technologies, holographic imaging, and artificial intelligence, engineers at Stanford say they have produced a leap forward for augmented reality.
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Vision, Robotics, & Motion Event 2024: The Future of Smart Production, Automation and Digitalization
June 5th-6th, 2024, 's-Hertogenbosch, Netherlands
In this episode, we discuss how a team from Carnegie Mellon University spearheading non-invasive brain computer interface solutions has had a significant breakthrough in improving their accuracy.
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New locomotion and manipulation technology from Ding Zhao’s lab will enable four-legged robots to lend a hand in the not-so-distant future.
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