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Researchers have designed a low-cost, energy-efficient robotic hand that can grasp a range of objects – and not drop them – using just the movement of its wrist and the feeling in its ‘skin’.
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Researchers have designed a low-cost, energy-efficient robotic hand that can grasp a range of objects – and not drop them – using just the movement of its wrist and the feeling in its ‘skin’.
Featured
Scientists at EPFL have developed PeSTo, an AI model that can predict, with high confidence, the binding interfaces of proteins when they bind other proteins, nucleic acids, lipids, ions, and small molecules. The model's low computational cost enables the processing of large amounts of structural data, opening up opportunities for new biological discoveries.
Featured
A new computer vision system turns any shiny object into a camera of sorts, enabling an observer to see around corners or beyond obstructions.
Engineers Wiki. Most Asked Questions.
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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NPU vs GPU: Understanding the Key Differences and Use Cases
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RAG vs Fine-Tuning: Differences, Benefits, and Use Cases Explained
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LLM Training: Mastering the Art of Language Model Development
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ORGANIZATIONS. SHAPING THE INDUSTRY.
High Tech Campus Eindhoven
High Tech
High Tech Campus Eindhoven is Europe's smartest square km and has the ultim...
49 Posts
ETH Zurich
University for science and technology
Freedom and individual responsibility, entrepreneurial spirit and open-min...
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TAGGED WITH machine learning
Training AI models is costly, forcing a trade-off between compressing large models or accepting weaker performance from smaller ones trained from scratch.
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.
TAGGED WITH motion capture systems
with Xsens motion capture
Latest Posts
Researchers have designed a low-cost, energy-efficient robotic hand that can grasp a range of objects – and not drop them – using just the movement of its wrist and the feeling in its ‘skin’.
Scientists at EPFL have developed PeSTo, an AI model that can predict, with high confidence, the binding interfaces of proteins when they bind other proteins, nucleic acids, lipids, ions, and small molecules. The model's low computational cost enables the processing of large amounts of structural data, opening up opportunities for new biological discoveries.
3 minutes read
A new computer vision system turns any shiny object into a camera of sorts, enabling an observer to see around corners or beyond obstructions.
Let us delve into the profound impact that generative AI may have on employment, exploring both the opportunities it creates and the challenges it presents, as we strive to shape a world where human ingenuity and machine intelligence can coexist harmoniously.
8 minutes read
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
