Emerging Topics in Artificial Intelligence 2024 @ETAIconference
Important Dates: Abstract Due: 7 February 2024 Author Notification: 29 April 2024 Conference: 18-22 August 2024 spie.org/OPN/conference… San Diego, USA Joined December 2019-
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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
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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
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.
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 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
Natalia Litchinitser (@DukeU) will present an exciting invited talk on using machine learning in subwavelength photonic structure design at #ETAI2023 #SPIEOpticsPhotonics
Nektarios Koukourakis will present an invited talk on optical diffraction tomography based on AI-driven adaptive optical cell-rotation at #ETAI2023 #SPIEOpticsPhotonics
Invited talk by @GGoery at #ETAI2023 #SPIEOpticsPhotonics @GGoery will speak about machine learning applications to ultrafast nonlinear dynamics in optical fibers
Maryellen L. Giger will presented and invited talk on AI research in medical imaging of cancer, brain injuries and COVID-19 at #ETAI2023 #SPIEOpticsPhotonics
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
Aaron Carass will be joining us at #ETAI2023 to give an invited talk discussing the potential of artificial intelligence in medical imaging.
@bmromeira @ChipAI_Project will present an invited talk on the latest research on seamless integration of neuromorphic and sensing multi-functions in a single micro-nano-light-emitting diode for on-chip emitting and receiving circuits. #ETAI2023 #SPIEOpticsPhotonics
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
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!
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
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.
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
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!
@u_tegin @kocuniversity will present an invited talk on optical computing for machine learning. Their scalable optical learning operator leverages spatiotemporal effects in multimode fibers for high-speed computation with low energy consumption. #ETAI2023 #SPIEOpticsPhotonics
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!
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