Purang Abolmaesumi

The ELLIS Institute Tübingen will give two presentations and 26 poster contributions at NeurIPS 2024 in Vancouver! 👉 https://lnkd.in/guZEh_e2 Karlsruher Institut für Technologie (KIT) joins IQST as a new partner. 👉 https://lnkd.in/dJq_f_QS Discover how to use AI tools in your academic work in this online seminar from the University of Stuttgart (German). 👉 https://lnkd.in/g5_hij2g Michael Sedlmair (SimTech - Cluster of Excellence | University of Stuttgart) has co-authored a landmark book on progressive data analysis. 👉 https://lnkd.in/gRcda4xp Researchers from Karlsruher Institut für Technologie (KIT) have used algorithms to improve the analysis of medical images (German). 👉 https://lnkd.in/gTwZWfF8 Read Hertie Institute for AI in Brain Health's recap of the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 👉 https://lnkd.in/eMd_3Jau #DataAnalysis #AI #AIResearch #ML #AINews #Research #MachineLearning #NeurIPS #MedicalImages

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#NeurIPS2024 is on this week in Vancouver. The NeurIPS conference is a premier global forum for the presentation of groundbreaking research in machine learning and computational neuroscience, driving advancements that shape the future of AI and its real-world applications. Check out some of the innovative research being presented by Amii-affiliated researchers at this year’s conference. Everything from advancements in reinforcement learning, responsible AI and drug discovery — learn more about the impactful work that Amii supports: https://hubs.ly/Q02_j3SD0

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🎉 🎉 Check out this #HighlyCitedPaper "An Overview of Nanotechnologies for Drug Delivery to the Brain" by Shawn Wettig et al. author affiliations: University of Waterloo You can find it at: https://shorturl.at/ilrX5

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#MondaySciencePost Week 1 At bennu.ai we love #RnD especially the research component. We decided to post about an AI or robotics article every Monday (this was the first one). We will highlight both research from our team and other AI and robotics research. If you are interested in AI and robotics follow us to get short summaries of research papers, and we are happy to receive paper or topic suggestions you might be interested in. Just leave us a comment.

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“The integration of AI in cardiac imaging has transformative potential. What used to only be possible in major health care centres, can now be done virtually anywhere. It’s about ensuring equitable, timely and accurate diagnoses for patients regardless of where they live, and ultimately improving heart health outcomes across B.C.” - Dr. Teresa Tsang Read more on our Intelligent Network for Point-of-Care Ultrasound initiative, https://bit.ly/3mxnWzb ___________ « L'intégration de l'IA dans l'imagerie cardiaque a un potentiel transformateur. Ce qui était autrefois possible uniquement dans les grands centres de soins de santé peut maintenant être fait virtuellement n'importe où. Il s'agit de garantir des diagnostics équitables, opportuns et précis pour les patients, peu importe où ils vivent, et, en fin de compte, d'améliorer les résultats en matière de santé cardiaque à travers la Colombie-Britannique. » - Dr. Teresa Tsang

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Friday Reflections (Part 1): After a week of a semi-holiday in Canada, I'm heading to Fredericton tomorrow for the Myoelectric Symposium (#MEC). Our team has the largest number of papers in the symposium, showcasing some of our unpublished work from the past three years. However, I'm deeply disappointed that only I can attend. The brilliant researchers who conducted the work were unable to join because the Canadian government didn’t issue their visas in time, despite their request for confirmed flight and accommodation details more than two months ago. The big excitement of attending MEC with my team has sadly been deflated. Friday Reflections (Part 2): The need to facilitate travel for academic purposes is more pressing than ever. Academic exchange fosters collaboration, innovation, and societal benefits. Historically, international exchange has led to significant breakthroughs—from global health initiatives to advancements in technology. For instance, collaborative efforts between scientists across borders have brought about life-saving vaccines and critical climate research. Promoting the concept of "scientists without borders," akin to “Médecins Sans Frontières”, could ensure that knowledge and expertise flow freely, unimpeded by bureaucratic barriers. This would allow the global scientific community to work together more effectively and drive progress that benefits us all.

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Dive into the intersection of technology and innovation with Tristan Brugère's, HDSI PhD Student, talk on how machine learning and optimal transport are revolutionizing chip design. 🚀💡 Watch here - https://ow.ly/93ch50RhBZH #UCSD #HDSI #DataScience #MachineLearning

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We have figured out a lot using mathematics, physics and chemistry to understand nature. We know how to predict electron flow in semiconductors, fluids in tubes, clouds in the sky, airflow over wings, space storms etc. Tools like computational fluid dynamics have remarkable applications in unexpected places. We also have ideas around PINN and we can use those insights to help us understand what happens in a foundational model. And I am sure there are lots more. None of these software artifacts should ever be said to be un-knowable or a "blackbox". That's intellectual laziness. These are all man made structures. We've figured out many parts of nature using math, physics and chemistry - we've mapped the Human Genome, so what's the excuse in not understanding foundational models? I look forward to people recognizing that there are existing human inventions (math, physics etc) whose insights can be used to remove/reduce the probabilistic nature of foundational models and thereby benefiting humanity as a whole. A press conference was held by University of Toronto with Geoffrey Hinton after the announcement that he was one of the two recipients of this year's Nobel Prize for Physics. Geoffrey is probably the only Turing Award winner to also have won a Nobel Prize. And the video - https://lnkd.in/gVHewNCd. Geoffrey is spot on where he says, at about 3:38: "I'm particularly proud of the fact that one of my students fired Sam Altman." Brilliant! #nobelprize #ai #opensource #turingaward

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🌟 The Quantum Algorithm Design Automation Workshop is Back! 🌟 Quantum Algorithm Design Automation Workshop is returning, featuring an outstanding lineup of invited talks and presentations of accepted papers. This event is a must-attend for anyone involved in the cutting-edge field of quantum computing. 🗓 Date: Sunday, September 15th, 2024 📍 Location: IEEE Quantum Week, International Conference on Quantum Computing and Engineering, Montréal, Canada ⏰ Time: 10:00 - 16:30 EDT This workshop is part of the prestigious IEEE Quantum Week, offering a unique platform to explore the latest advancements in quantum algorithm design. Whether you're a seasoned quantum researcher or new to the field, this event provides invaluable insights and networking opportunities. 🚀 Don’t Miss Out! Check it out here: https://lnkd.in/eCVinPxB Mark your calendars and get ready for a day filled with innovative ideas and groundbreaking research. Check out the full agenda and details here: Quantum Algorithm Design Automation Workshop. 🔔 Stay Connected: Follow Quantum University for more updates on the latest in quantum computing. And if you find this post helpful, please like, share, and repost to spread the word! Let's grow the quantum community together! 💡 #QuantumComputing #IEEEQuantumWeek #QuantumEngineering #QuantumUniversity #QuantumAlgorithms

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💥 HSLU at NeurIPS? Oh yes we are!! Congrats to Fabian Gröger and team for being accepted to one of the highest impact AI/ML conferences on the planet. 🚀 🎉 🌎 NeurIPS 2024, the Thirty-Eighth Annual Conference on Neural Information Processing Systems, will be held at the Vancouver Convention Center Monday Dec 9 through Sunday Dec 15. HSLU researchers Fabian Gröger, Simone Lionetti, Ludovic Amruthalingam and Marc Pouly together with their collaborators from University of Basel, University Hospital Basel and Northwestern University are presenting “SelfClean: A Self-Supervised Data Cleaning Strategy”. ⚡ PROBLEM Most benchmark datasets for computer vision contain irrelevant images, near duplicates, and label errors. Consequently, model performance on these benchmarks may not be an accurate estimate of generalization capabilities. This is a particularly acute concern in computer vision for medicine where datasets are typically small, stakes are high, and annotation processes are expensive and error-prone. 😎 SOLUTION The researchers have developed a general procedure to clean up image datasets exploiting a latent space learned with self-supervision. By relying on self-supervised learning, the approach focuses on intrinsic properties of the data and avoids annotation biases. SelfClean achieves state-of-the-art performance in detecting irrelevant images, near duplicates, and label errors within popular computer vision benchmarks. 🌐 You can read the pre-print here: https://lnkd.in/eAQidcj4 👩‍💻 The official implementation is here: https://lnkd.in/eanJnQ73 🌟 🤩 Amazing work guys! Congratulations, and enjoy the trip to Canada. Philippe Gottfrois, Alvaro Gonzalez Jimenez, Matthew Groh, Alexander Navarini, LAC² - Lucerne AI and Cognitive Community, Switzerland Global Enterprise, Switzerland Innovation Park Central, Lucerne Business, Economic Promotion Canton of Zug, Schlössli Collab, Lucerne University of Applied Sciences and Arts, HSLU – Hochschule Luzern – Informatik

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💥 Quantum theorists at UBC Blusson Quantum Matter Institute (Blusson QMI) have proposed a new approach to studying stacking ferroelectricity—spontaneous electric polarization—in layered, two-dimensional lab-grown materials. Ferroelectric materials are unique in their ability to “remember” their new state after the electric field is removed, which makes them useful in applications including solar cell technology and compact memory devices. “We've been learning in recent years that quantum geometry underlies a surprising range of the observable properties of materials,” said Dr. Marcel Franz, deputy scientific director at UBC Blusson QMI and a professor with the Department of Physics & Astronomy. “This work adds an important new entry to the growing list of phenomena that can be elucidated using this fascinating geometric approach.” “The most exciting part of our discovery is that the underlying physics behind stacking ferroelectricity can, in fact, be understood as a geometric property,” said UBC Blusson QMI postdoctoral fellow Dr. Benjamin T. Zhou, lead author of the study published in the journal Physical Review Letters. 👉 Read more: https://lnkd.in/gRSRXf36 #quantum #research #science #innovation #materials #discovery #QuantumBC #QuantumCoast #QuantumCanada

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Congratulations to researchers from Max Planck Institute of Microstructure Physics, Max Planck – University of Toronto Centre for Neural Science and Technology, University of Toronto and Technische Universität Dresden for their recent publication!   The research group, led by Prof. Joyce Poon, exploited REGENHU’s melt electrowriting technology to fabricate titanium carbide-coated PCL scaffolds acting as bioactive interfaces to guide the growth of 3D neural circuits.   The fabricated structures were proven to have excellent biocompatibility and to enable optocapacitive neural stimulation, with spatially precise control over the photoinduced neural activity. As stated by the authors, the presented approach opens novel pathways for functional neural tissue engineering and the precise control and modulation of neural circuits in vitro and in vivo. Interested in more details? Reference article: https://lnkd.in/drAV3hsd   REGENHU bioprinting solutions: www.regenhu.com   #3DBioprinting #Bioprinting #MeltElectrowriting #BioInterfaces #NeuralCircuits #NeuralTissueEngineering #NeuronalStimulation #OpticalStimulation #Optocapacitance #TitaniumCarbide

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Watch another episode of the CVPR Pre-Show! This time, Harpreet Sahota 🥑 and Jason Corso welcome Julio Silva-Rodriguez, a postdoctoral fellow at ETS of Montreal. Julio dives into his research on pre-training and few-shot adaptation of large vision models. He introduces CLAP, a principled approach that outperforms state-of-the-art methods by adding a class-adaptive penalty to avoid large deviations from zero-shot prototypes. Watch the insightful discussion below! #AI #ComputerVision #MachineLearning #CVPR2024 #Voxel51

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QCi was thrilled to learn that U.S. scientist John Hopfield and British-Canadian scientist Geoffrey Hinton were the well-deserved recipients of this year’s Nobel Prize in Physics for their foundational work in machine learning! Their groundbreaking work has long inspired the QCi team and continues to play a pivotal role in QCi’s technology and innovations. For example, QCi’s recently developed photonic optimization solver, the Dirac-3, draws directly from Dr. Hopfield and Hinton’s work. The cost function that Dirac-3 natively instantiates is a higher-dimensional version of the equation they pioneered. With the advances in photonic technology that QCi is leading, the QCi team can efficiently implement these higher-order terms in the cost function, enabling the team to solve much more complex problems. Stay tuned for more exciting announcements from QCi, but for now, let's take the time to recognize and celebrate the significant achievements of Dr. Hopfield and Hinton in shaping the future of machine learning! #NobelPrize #NobelPrize2024 #physics #computerscience #machinelearning #AI #artificialneuralnetworks #pioneers #breakthroughs #groundwork #research #discoveries #inventions #revolutionary #recognition #inspiration #futureofmachinelearning #QCi #Dirac3  #quantummachine #quantumsystems #quantumtechnologies #qudits #photons #optics

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