Elythor, an EPFL spin-off, has developed a new drone whose wing shape can adapt to wind conditions and flight position in real time, reducing the drone’s energy consumption. What’s more, the position of the wings can change, allowing the drone to fly vertically or horizontally. These features make it a perfect candidate for inspecting power plants.
Elythor, an EPFL spin-off, has developed a new drone whose wing shape can adapt to wind conditions and flight position in real time, reducing the drone’s energy consumption. What’s more, the position of the wings can change, allowing the drone to fly vertically or horizontally. These features make it a perfect candidate for inspecting power plants.
Thanks to a novel combination of cryogenic transmission electron tomography and deep learning, EPFL researchers have provided a first look at the nanostructure of platinum catalyst layers, revealing how they could be optimized for fuel cell efficiency.
High Tech Campus Eindhoven (HTCE) and its AI Innovation Center today announced a collaboration with Amazon Web Services (AWS). The new collaboration aims, through education and inspiration, to increase the implementation and usage of AI services and machine learning (ML), as these technologies not only transform business, but also transforms research and development.
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!
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This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.
A team that included Chongzie Zhang from McKelvey Engineering developed a method that allows robots to teach other robots with different features to perform the same task.
New AI system lets robots work faster than their human teachers without sacrificing accuracy.
Nakahira received a Young Investigator Award from the Japan Science and Technology Agency for developing a machine that builds autonomous systems.
with Xsens motion capture
With Xsens MVN Animate
Elythor, an EPFL spin-off, has developed a new drone whose wing shape can adapt to wind conditions and flight position in real time, reducing the drone’s energy consumption. What’s more, the position of the wings can change, allowing the drone to fly vertically or horizontally. These features make it a perfect candidate for inspecting power plants.
4 minutes read
Thanks to a novel combination of cryogenic transmission electron tomography and deep learning, EPFL researchers have provided a first look at the nanostructure of platinum catalyst layers, revealing how they could be optimized for fuel cell efficiency.
2 minutes read
High Tech Campus Eindhoven (HTCE) and its AI Innovation Center today announced a collaboration with Amazon Web Services (AWS). The new collaboration aims, through education and inspiration, to increase the implementation and usage of AI services and machine learning (ML), as these technologies not only transform business, but also transforms research and development.
Detecting inconsistencies in device behavior offers insights into how to improve user experience. using a high-speed camera, this use case deep dives into device response time measurement using a black-box approach that replicates real-world touchscreen usage.
5 minutes read
Matroid's computer vision obfuscates any data deemed sensitive in video media.
2 minutes read
LwM2M may be the missing link to implement continual learning in TinyML projects.
4 minutes read
“DribbleBot” can maneuver a soccer ball on landscapes such as sand, gravel, mud, and snow, using reinforcement learning to adapt to varying ball dynamics.
Now wireless-enhanced personal transport solutions are riding their way into the mainstream transport picture, creating new business opportunities in the process.
4 minutes read
Over the next decade, we can expect to see exponential gains in performance and power efficiency of embedded computer systems.
5 minutes read
Unsupervised domain adaptation is the solution to overcome the challenge of limited training data effectively.
4 minutes read
ABI Research forecasts that TinyML unit volumes will explode from 15 million units in 2020 to 2.5 billion units in 2030. Find out about this machine-learning technique now.
3 minutes read
Today, the IoT has enabled the amount of data we collect to grow by many orders of magnitude. We can sense almost anything, anywhere, and then wirelessly transmit the data to powerful remote Cloud servers. This has opened up opportunities for new applications that previously would not have been possible.
4 minutes read
In this episode, we discuss how researchers aim to reintroduce human guidance and oversight in the development and use of AI technology to address the risks of misuse and ensure deployment of models has a net positive impact.
Mining is one industrial sector rarely mentioned regarding IoT adoption. That's because, unlike manufacturing, construction, or commerce, the mining industry has unique challenges, making IoT adoption a much more demanding proposition.
4 minutes read
The study aims to help society, including regulators considering AI safety regulations and organizations considering adopting AI, understand the societal implications of ever-smarter machines.
3 minutes read
