Article #2 of Confronting AI Series: AI can enhance decisions and refine processes, yet organizations are hesitant to integrate it. Boosting trust through education, clear policies, transparent models, and improved human-AI collaboration will encourage wider adoption.
Article #2 of Confronting AI Series: AI can enhance decisions and refine processes, yet organizations are hesitant to integrate it. Boosting trust through education, clear policies, transparent models, and improved human-AI collaboration will encourage wider adoption.
Unlike traditional software applications, where user actions have immediate and predictable results, CV workflows introduce inherent conceptual and interaction complexities that require a different UX approach.
A novel framework offers accurate water flow predictions and simulations with unprecedented efficiency
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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Nakahira received a Young Investigator Award from the Japan Science and Technology Agency for developing a machine that builds autonomous systems.
Princeton researchers have developed a new tool to speed the discovery of advanced materials known as metal organic frameworks, or MOFs.
EPFL roboticists have shown that when a modular robot shares power, sensing, and communication resources among its individual units, it is significantly more resistant to failure than traditional robotic systems, where the breakdown of one element often means a loss of functionality.
MIT researchers' DiffSyn model offers recipes for synthesizing new materials, enabling faster experimentation and a shorter journey from hypothesis to use.
Article #2 of Confronting AI Series: AI can enhance decisions and refine processes, yet organizations are hesitant to integrate it. Boosting trust through education, clear policies, transparent models, and improved human-AI collaboration will encourage wider adoption.
Unlike traditional software applications, where user actions have immediate and predictable results, CV workflows introduce inherent conceptual and interaction complexities that require a different UX approach.
A novel framework offers accurate water flow predictions and simulations with unprecedented efficiency
6 minutes read
Article #1 of Confronting AI Series: AI is rapidly evolving beyond language models, quietly transforming fields like vision, prediction, and control. Explore how diverse AI techniques are solving complex challenges where text-based approaches fall short.
Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI like chatbots so good at understanding and using words.
3 minutes read
Machine-learning framework predicts effects of electric fields
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WashU interdisciplinary research uses machine learning to offer accurate prediction of preterm birth
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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.
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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.
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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.
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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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