Whenever the word blockchain comes up, most people think of financial technology and cryptocurrencies. That's only the tip of this revolutionary iceberg, which is capable of much more than just bitcoin transactions.
Whenever the word blockchain comes up, most people think of financial technology and cryptocurrencies. That's only the tip of this revolutionary iceberg, which is capable of much more than just bitcoin transactions.
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.
Whenever the word blockchain comes up, most people think of financial technology and cryptocurrencies. That's only the tip of this revolutionary iceberg, which is capable of much more than just bitcoin transactions.
In recent years, we have experienced the success of modern machine learning (ML) models. Many of them have led to unprecedented breakthroughs in a wide range of applications, such as AlphaGo beating a world champion human player or the introduction of autonomous vehicles.
Love is Blind's AI/data scientist Cameron Hamilton speaks with Rachel Gordon of MIT's Computer Science and Artificial Intelligence Laboratory on his AI company, finding love on the hugely popular Netflix show, and where he sees the future of digital dating.
As the world becomes increasingly automated, the IoT (Internet of Things) is already transforming our domestic and business lives. Nowhere is this more apparent than in the use of AI and robotics in the manufacturing industry, with all the benefits offered by Industry 4.0.
If you’re unfamiliar with the term, GPS Waypoint Navigation is the ability to provide a robot with a set of GPS waypoints (i.e., a set of latitude / longitude pairs), and have the robot autonomously navigate from its current location to each of the defined waypoints.
For robots to keep up with the pace of technological innovation, machine learning has become paramount. While robots are already effective at alleviating the manual operation of routine tasks, an intelligent robot should also be able to process their commands with future actions in mind.
We are announcing the release of our state-of-the-art off-policy model-free reinforcement learning algorithm, soft actor-critic (SAC). This algorithm has been developed jointly at UC Berkeley and Google, and we have been using it internally for our robotics experiment.
Like its predecessor, JackRabbot 2 is learning how to navigate safely through spaces occupied by people, following the rules of human etiquette. What it learns could help it move comfortably among us in the future.
Future cars will be both self-driving and manual. "We wanted to harness technology to enhance drivers’ skills without interfering with the enjoyment of being behind the wheel," explains José del R. Millán, who holds the Defitech Foundation Chair in Brain-Machine Interface (CNBI).