Gretel is excited to participate in the Workshop on Synthetic Data at the 4th ACM International Conference on AI in Finance in Brooklyn this week. #ICAIF In finance, #syntheticdata is enabling new collaborations that were previously not possible due to privacy risks and policy restrictions. This work is enhancing customer experiences and improving fraud protections. Gretel looks forward to working with academics and industry leaders to responsibly scale these initiatives, while prioritizing #privacy and fairness in AI. Thanks to Rachel Cummings, Giulia Fanti, Guang Cheng, Robert Tillman, and Vamsi Krishna Potluru for organizing this important workshop. You can check out the full #ICAIF program here: https://ai-finance.org/
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Don't forget to check out our new article, where Henry Farid, Professor of Computer Science at UC Berkeley, and Chris McIsaac, Fellow at R Street Institute, discuss the likelihood of AI-generated misinformation impacting the results of the 2024 presidential election. Click this link to learn more: https://lnkd.in/eNHkdJJJ #ai #misinformation #fakenews #us #tech #uspolitics
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The Future of Finance:?ICAIF Conference Presentation Announcement ?? We're pleased to share that we will be presenting at the upcoming 4th ACM International Conference on AI in Finance (ICAIF'23) from November 27-29 in New York City. ?? Cosmin Andriescu, CTO and co-founder of Lumenova AI, alongside Bryan McGowan from KPMG US will be joining the session on "AI Governance, Risks, and Compliance," where they'll discuss strategies for understanding and mitigating AI risks, the importance of regulatory compliance, and implementing safeguards for generative AI technologies. ?? Lumenova AI enables the deployment of Transparent, Ethical, Fair, and Trustworthy AI. It also incorporates robust trust and privacy safeguards for Generative AI, empowering organizations to confidently embrace generative AI. ?? If you will be attending, please let us know. We'd love the opportunity to arrange a meeting and further discuss how our platform empowers robust yet streamlined AI adoption. ?? Learn more about ICAIF'23 at?www.ai-finance.org. Stay tuned for coverage of our panel presentation - don't miss this opportunity to gain governance best practices for financial AI projects. Cosmin Andriescu?Bryan McGowan?Sammy Assefa, PhD Vivek Mehta #responsibleAI #AIGovernance #trustworthyAI #financeAI #riskmanagement #compliance #LumenovaAI #ICAIF23 #ICAIF
ICAIF-23
https://ai-finance.org
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A fantastic TED talk on the pitfalls of the current LLM/AI landscape. I, for one, have always found LLMs to only be as smart as the data they are fed from both an interaction and training standpoint. Common sense is the next paradigm shift and it has been (and will continue to be) one of the greatest challenges in the field of computer science.
Yejin Choi: Why AI is incredibly smart and shockingly stupid
https://www.ted.com
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https://lnkd.in/gzcuFwYC Nicholas Mattei, professor of computer science for Tulane, explains the limits of the inductive reasoning that GenAI apps depend on. #artificialintelligence #genai #inductivereasoning #tulane
AI Leadership Insights: Limits of Inductive Reasoning
https://techstrong.ai
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It was very interesting to be part of the Senior Program Committee of the 5th ACM International Conference on AI in Finance that will take place in NY November 14, 15 (Workshops and Tutorials) November 16, 17 (Main Program). It is encouraging to see that AI continues to expand in financial markets, especially when it enhances our existing understanding of mechanisms or sheds new light on phenomena that we could not analyze before. Congratulation Dhagash Mehta, Ph.D. , Grace Guiling Wang, Senthil Kumar, Hao Ni, Bo An, Yongjae Lee, Zhen Zeng for the organisation ! The line up of selected papers is already promising. #financialmarkets #aiforfinance #machinelearninginfinance
We’ll see you in Brooklyn!
https://ai-finance.org
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https://lnkd.in/gff7kw3b A. Kesharwani and P. Shukla, "A Review of Anomaly Detection using Machine Learning Techniques," 2024 1st International Conference on Advanced Computing and Emerging Technologies (ACET), Ghaziabad, India, 2024, pp. 1-6, doi: 10.1109/ACET61898.2024.10730574. keywords: {Surveys;Deep learning;Machine learning algorithms;Reviews;Time series analysis;Focusing;Clustering algorithms;Graph neural networks;Classification algorithms;Anomaly detection;anomaly detection techniques;graph anomaly;static graph anomaly;dynamic graph anomaly},
A Review of Anomaly Detection using Machine Learning Techniques
ieeexplore.ieee.org
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??Deadline Alert: More Time to Submit! ?? --> July 17, 2024 ?? SyntheticData4CV Workshop @ ECCV 2024 Join us at the 18th European Conference on Computer Vision (ECCV 2024) in Milan, Italy, for an exciting workshop on the innovative uses and challenges of Synthetic Data in Computer Vision. ?? Important Update on Key Dates: Submission Deadline Extended: July 17, 2024 Notification of Acceptance: August 7, 2024 Camera Ready Deadline: August 25, 2024 Workshop Dates: Sept 30, 2024 ?? Focus Areas: We invite submissions on all topics related to Synthetic Data in Computer Vision, including but not limited to: - Responsible Image Synthesis: Fairness, Robustness, Ethics, Privacy, Security, Reliability; -Advanced Generative Models: Stable Diffusion Models, 3D Models, Deepfakes; -Learning from Synthetic Data: Frameworks, Strategies, Theoretical Foundations; -Applications: Medical Image Synthesis, Synthetic Biometrics. ?? Special Opportunity: Selected papers will be invited to submit an extended version to the Elsevier Image and Vision Computing Journal. ?? Confirmed Speakers: Naser Damer, Fraunhofer IGD, Germany Gao Huang, Department of Automation, Tsinghua University, China Hengshuang Zhao, Department of Computer Science, University of Hong Kong, China ?? Workshop Organizers: Lucia Cascone, University of Salerno ZILONG HUANG TikTok, Singapore Michele Nappi, University of Salerno Xinggang Wang, Huazhong University of Science and Technology ?? For full submission details, please visit our website: https://lnkd.in/d4hsPHKj ?? For any questions, please email us at: [email protected] #SyntheticData4CV #ECCV2024Workshop #ECCV2024 #ComputerVision #SyntheticData #AI #MachineLearning #CallForPapers
Synthetic Data for Computer Vision
syntheticdata4cv.wordpress.com
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Excited to share that our work on self-supervised learning for human activity understanding has been accepted to the #ECCV2024 conference. Check out our intro video below.
Our work on self-supervised machine learning for building models of diverse human activities in a privacy-preserving manner has passed peer-review and will be presented at the ECCV conference in Milan, Italy. The European Conference on Computer Vision (ECCV) is a flagship AI conference, and has been organized once every two years, since 1990. You can listen to a summary of the work and the results that our CTO, Dr. Quoc-Huy Tran will be presenting at the conference. Further you can read the pre-print version of the full paper at the following link. Code coming up soon! https://lnkd.in/eg-ie7nm This work represents continued progress on top of earlier peer-reviewed papers from our team, published at WACV 2024, CVPR 2022, and CVPR 2021. You can check out that work on our research page: https://lnkd.in/gRURAatv #ActionRecognition #PrivacyPreservingML
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Delving into the world of mathematics and finance, swissQuant 's collaboration with Professor Alessio Figalli, a Fields Medal Laureate and member of their Scientific Advisory Board, highlights the fascinating journey of optimal transport from historical theory to practical application in today’s technology-driven financial solutions. Optimal transport's evolution from a military logistics tool to a fundamental concept in AI and machine learning showcases the transformative impact of mathematics on modern industries. swissQuant’s dedication to integrating such innovative mathematical approaches into their fintech solutions exemplifies the potential for academic insights to drive industry advancements. Discover the significance of this mathematical concept and its applications across various sectors, including finance, where it's enabling more efficient and sophisticated analytical tools. Read the full article here: https://lnkd.in/eHruu94x #FintechInnovation #MathematicsInFinance #swissQuant
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Our work on self-supervised machine learning for building models of diverse human activities in a privacy-preserving manner has passed peer-review and will be presented at the ECCV conference in Milan, Italy. The European Conference on Computer Vision (ECCV) is a flagship AI conference, and has been organized once every two years, since 1990. You can listen to a summary of the work and the results that our CTO, Dr. Quoc-Huy Tran will be presenting at the conference. Further you can read the pre-print version of the full paper at the following link. Code coming up soon! https://lnkd.in/eg-ie7nm This work represents continued progress on top of earlier peer-reviewed papers from our team, published at WACV 2024, CVPR 2022, and CVPR 2021. You can check out that work on our research page: https://lnkd.in/gRURAatv #ActionRecognition #PrivacyPreservingML
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