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Machine-learning framework predicts effects of electric fields
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Machine-learning framework predicts effects of electric fields
Featured
WashU interdisciplinary research uses machine learning to offer accurate prediction of preterm birth
Featured
Matroid's no-code computer vision platform leverages an intuitive 'detector studio' to accelerate deployment - no coding skills required.
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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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TAGGED WITH machine learning
Understanding industrial vision systems by examining their components, imaging fundamentals, AI integration since 2020, and how to choose the right solution for every application.
Explore the rise of intelligent EV hardware and how real-time processing, ML acceleration, and hardware virtualization are enabling safer, smarter, software-defined electric vehicles.
A detailed engineering reference on performance, signaling, and power differences in current graphics memory standards.
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Latest Posts
Machine-learning framework predicts effects of electric fields
3 minutes read
WashU interdisciplinary research uses machine learning to offer accurate prediction of preterm birth
3 minutes read
Matroid's no-code computer vision platform leverages an intuitive 'detector studio' to accelerate deployment - no coding skills required.
AI scientists and doctors partner to understand who is at risk for persistent post-surgical pain
4 minutes read
Scientists at EPFL have created MammAlps, a multi-view, multi-modal video dataset that captures how wild mammals behave in the Swiss Alps. This new resource could be a game-changer for wildlife monitoring and conservation efforts.
3 minutes read
Researchers at ETH Zurich and Empa have developed a new image sensor made of perovskite. This semiconductor material enables better colour reproduction and fewer image artefacts with less light. Perovskite sensors are also particularly well suited for machine vision.
4 minutes read
Scientists at EPFL have unraveled the details of the first crucial step in the oxygen evolution reaction, a bottleneck for clean hydrogen production, using advanced simulations and machine learning techniques.
3 minutes read
The system automatically learns to adapt to unknown disturbances such as gusting winds.
A team of international researchers led by EPFL developed a multilingual benchmark to determine Large Language Models ability to grasp cultural context.
A REVIEW OF PAST AND FUTURE CDFAM PRESENTATIONS
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In addition to training future players, the technology could expand the capabilities of other humanoid robots, such as for search and rescue.
EPFL researchers have discovered key 'units' in large AI models that seem to be important for language, mirroring the brain's language system. When these specific units were turned off, the models got much worse at language tasks.
4 minutes read
New type of "state-space model" leverages principles of harmonic oscillators.
Explore how advanced computer vision technology transforms quality control in metal manufacturing and why it represents the industry's future.
"IntersectionZoo," a benchmarking tool, uses a real-world traffic problem to test progress in deep reinforcement learning algorithms.
