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The #SPIEOpticsPhotonics Emerging Topics in Artificial Intelligence (ETAI) '23 conference is now accepting abstracts!
Join our community combining AI with photonics, microscopy, active matter, biomedicine, and brain connectivity.
spie.org/OP110
Abstract due: 8 March
Join our community combining AI with photonics, microscopy, active matter, biomedicine, and brain connectivity.
spie.org/OP110
Abstract due: 8 March
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#SPIEOpticsPhotonics invites you to submit abstracts for the Emerging Topics in Artificial Intelligence (ETAI) 2024 conference on AI applications in photonics, microscopy, active matter, biomedicine, and brain connectivity!
Abstract due: February 7
Link: tinyurl.com/3n9y76dh
Abstract due: February 7
Link: tinyurl.com/3n9y76dh
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Kristina Monakhova @4ierplane will present an invited talk on physics-informed machine learning for computational imaging, from lensless cameras to low light videography at #ETAI2023 #SPIEOpticsPhotonics
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Discover the future of implantable neural interfaces, transparent interfaces and brain-machine interfaces at the invited talk by @DuyguKuzum at #ETAI2023 #SPIEOpticsPhotonics, including multimodal sensing, on-chip processing, and computational co-design.
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Explore the origins of neural networks and neuromorphic hardware with @dbrunner_lab at #ETAI2023 #SPIEOpticsPhotonics.
Learn how the computational and economic success of NNs has led to a shift towards physical computing and new challenges.
Learn how the computational and economic success of NNs has led to a shift towards physical computing and new challenges.
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Learn how the image science framework is used by the FDA to evaluate medical imaging devices and their potential to reduce radiation dose to patients. Invited talk by Kyle J Myers at #ETAI2023 #SPIEOpticsPhotonics
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Natalia Litchinitser (@DukeU) will present an exciting invited talk on using machine learning in subwavelength photonic structure design at #ETAI2023 #SPIEOpticsPhotonics
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Nektarios Koukourakis will present an invited talk on optical diffraction tomography based on AI-driven adaptive optical cell-rotation at #ETAI2023 #SPIEOpticsPhotonics
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Invited talk by @GGoery at #ETAI2023 #SPIEOpticsPhotonics
@GGoery will speak about machine learning applications to ultrafast nonlinear dynamics in optical fibers
@GGoery will speak about machine learning applications to ultrafast nonlinear dynamics in optical fibers
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Maryellen L. Giger will presented and invited talk on AI research in medical imaging of cancer, brain injuries and COVID-19 at #ETAI2023 #SPIEOpticsPhotonics
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Rogers F Silva @DeepFusionAce will present his research on AI/ML methods for brain data analysis to advance early detection of mental illnesses and personalized treatment prescription at #ETAI2023 #SPIEOpticsPhotonics
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Aaron Carass will be joining us at #ETAI2023 to give an invited talk discussing the potential of artificial intelligence in medical imaging.
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Exciting talk by @FrancescoDaRos4 on the intersection of machine learning and optics!
Learn how ML tools can improve data analysis, provide insights on photonics components and subsystems, and optimize optical systems. #SPIEOpticsPhotonics #ETAI2023
Learn how ML tools can improve data analysis, provide insights on photonics components and subsystems, and optimize optical systems. #SPIEOpticsPhotonics #ETAI2023
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Join us at #ETAI2023 #SPIEOpticsPhotonics for Tijue Wang's invited presentation on their novel end-to-end tumor diagnosis framework using U-Net + EDSR network for resolution enhancement and tumor classification. Don't miss out on this groundbreaking research!
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Looking forward to the invited talk by Yair Rivenson, CEO of Pictor Labs, about their cutting-edge virtual staining technology for pathology and on the future of non-destructive, virtual multiplex tissue platforms for improved healthcare!
#ETAI2023 #SPIEOpticsPhotonics
#ETAI2023 #SPIEOpticsPhotonics
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Exciting invited talk at #ETAI2023 #SPIEOpticsPhotonics by @carlomanzo78 on data-driven methods for object tracking and analysis in time-lapse microscopy.
Machine learning offers remarkable improvements over classical methods, uncovering new insights into cellular interactions.
Machine learning offers remarkable improvements over classical methods, uncovering new insights into cellular interactions.
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Don't miss the invited talk at #ETAI2023 by Julian Moosmann on the innovative use of machinelearning in synchrotron radiation-based X-ray tomography. #SPIEOpticsPhotonics
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Excited to hear at #ETAI2023 #SPIEOpticsPhotonics from Mark Steyvers (@ucicogsci, @ucisocsci) about the potential of hybrid human-AI decision-making systems in biomedical applications.
Don't miss his invited talk on the promises and pitfalls of AI-assisted decision-making!
Don't miss his invited talk on the promises and pitfalls of AI-assisted decision-making!
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Exciting invited talk by @namaraujo on the design of self-folding 3D shells from interconnected panels!
Learn about the relation between the structural features of the nets and their folding time and probability of misfolding.
Don't miss it at #ETAI2023 #SPIEOpticsPhotonics!
Learn about the relation between the structural features of the nets and their folding time and probability of misfolding.
Don't miss it at #ETAI2023 #SPIEOpticsPhotonics!
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Mercè IzquierdoSerra @5312_lab will give an invited presentation to explore the latest advances in #neuroscience and #computationalalgorithms for understanding the complex mechanisms of the human brain. #ETAI2023 #SPIEOpticsPhotoncis
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The ETAI abstract submission system will remain open for a few days past the deadline.
We encourage potential participants to submit at their earliest convenience so we can work out the meeting logistics.
spie.org/OP110
We encourage potential participants to submit at their earliest convenience so we can work out the meeting logistics.
spie.org/OP110
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