Learn more about a groundbreaking solution called Temporal Event-based Neural Networks (TENNs) developed by BrainChip, which efficiently combines spatial and temporal convolutions to process sequential data like never before.
Learn more about a groundbreaking solution called Temporal Event-based Neural Networks (TENNs) developed by BrainChip, which efficiently combines spatial and temporal convolutions to process sequential data like never before.
Researchers at CMU combined two vision foundational models—models trained on large visual data sets—to help a robot arm recognize the shape and the type of fruit and vegetable slices.
Modern robots know how to sense their environment and respond to language, but what they don’t know is often more important than what they do know. Teaching robots to ask for help is key to making them safer and more efficient.
Explore IoT security solutions with insights into the threat landscape, secure architectures, and best practices for engineers building resilient connected systems.
This article explores how automated CI/CD pipelines replace fragile manual build processes with reproducible, auditable workflows that improve compliance, reduce defects, and accelerate development in regulated embedded systems
Join Prof. Fei Chen as he explores advanced bimanual manipulation and teleoperation techniques shaping the future of intelligent human-like robots in this expert-led robotics session.
The ETH spin-off Flink Robotics wants to revolutionize the handling of packages. Its founders Moritz Geilinger and Simon Huber have developed software that allows robots to work together and quickly take on new tasks.
Learn more about a groundbreaking solution called Temporal Event-based Neural Networks (TENNs) developed by BrainChip, which efficiently combines spatial and temporal convolutions to process sequential data like never before.
Researchers at CMU combined two vision foundational models—models trained on large visual data sets—to help a robot arm recognize the shape and the type of fruit and vegetable slices.
Modern robots know how to sense their environment and respond to language, but what they don’t know is often more important than what they do know. Teaching robots to ask for help is key to making them safer and more efficient.
Device control is the backbone of any IoT ecosystem. Without it, connected devices are just isolated islands of data. In today's expanding IoT landscape, efficient, secure IoT device control matters more than ever. Enter LwM2M.
Cities around the world are experiencing a period of rapid expansion. According to the United Nations (UN), 57 percent of people already live in urban areas - and this is set to increase to almost 70 percent by 2050.
In this episode, we talk all about connectomics - the study of animal brains - and how researchers at MIT have started leveraging AI to break through the primary bottleneck: brain image acquisition.
The Year of the Linux Desktop may get postponed every year, but Linux has come to dominate pretty much every other market segment - from servers, industrial machines and mobile phones (via Android), to a host of embedded devices.
The concept of IIoT has begun to shift from one centered around things to one centered around people, and a large number of solutions and use cases have emerged with the aim of providing a more sophisticated user experience (UX).
In the modern era it’s reasonable to assume that expensive items moving around the world are carefully tracked and protected and therefore never go astray. But no, there are still a disturbing number of mishaps resulting in key assets disappearing – sometimes forever.