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!
The landscape of IoT development is evolving rapidly, and staying ahead requires more than just technical know-how, it demands a strategic shift in how we approach building connected devices.
Discover how no-code/low-code platforms are transforming embedded development by enabling rapid prototyping and deployment with minimal coding. Explore tools like LabVIEW, Node-RED, and XOD that simplify IoT, automation, and industrial system design.
Teams that are looking at alternative programming languages have two options today: Ada and Rust. Both languages raise the bar in terms of safety and security
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.
Traditional washroom management faces many challenges. This article describes the benefits of using the YouTissue solution to equip custom projects with integrated hygiene solutions.
It is hard to think of a profession facing a more trying set of circumstances than farming. Climate change has brought higher temperatures and lower winter rainfall. Soil erosion, a loss of biodiversity, as well as myriad pests and diseases add to the farmer’s burden.
In this episode, we talk about about how an ant inspired robotics platform could be the future of swarm robotics due to its simple, affordable, flexible, and scalable nature.
The Industrial Revolution began in Britain sometime around 1760. It ushered in a period where coal-fired steam engines powered increased mechanization and productivity and transformed a largely agrarian society into a manufacturing one.
Sharing the real-world performance metrics of LTE Cat-M1 and LTE Cat 1, allowing you to make a better decision on what technology to use in your application.
The natural resources around us represent the basis for all human activity on Earth. We use these resources to produce food, clean drinking water, clothes, electrical energy, and everything else we need to survive. But these resources are limited.
Investors use ESG (environmental, social, and governance factors) to screen potential investments based on a company’s non-financial performance. IoT can make the collection and reporting of this data more accurate.
You've probably heard about the amazing capabilities of some recent AI models, such as GPT, AI21, or BLOOM. Perhaps you use one of these models yourself. Either directly, or through another product like Wordtune, YouWrite, Jasper – or ChatGPT.
It turns out that while these models are trained on language data, they can be used for other applications as well.
In my latest article, you can read more about applications in materials discovery, cybersecurity, and even building management.
The global agricultural and farming industry is facing a perfect storm. Earlier this month, the world population hit eight billion for the first time, in the two weeks since it has grown another 1.5 million. That is a lot of extra mouths to feed when there are already 690 million people going hungry, according to the Food and Agriculture Organization of the United Nations (FAO).
EPFL researchers have teamed up with Dartfish and the Lausanne Hockey Club to push the boundaries of sports-performance analysis by applying computer vision and machine-learning technology to action on the ice.
‘Smart Circularity’—the circular economy as it relates to connected technology and the IoT—can help the world shift away from linear consumption to an economy where resources are fed back into a closed loop of recycling, reusing and sharing.
#10 of our Voice of Innovation fireside chat series: Robotics and AI reporter Rachel Gordon speaks to Daniel Situnayake, a founder, engineer, and teacher, on what it means to run sophisticated machine learning algorithms on small devices at the edge of a network.