The Softmax Function, Potts Model and Variational Neural Networks in Image Segmentation
Exploring variational models as layers in deep neural networks for image segmentation, integrating traditional techniques with DNNs to improve performance and incorporate shape priors.
Stochastic Primal Dual Splitting Algorithms for Convex and Nonconvex Composite Optimization in Imaging
Explore stochastic primal dual splitting algorithms for convex and nonconvex composite optimization in imaging, focusing on SPDFP and SVRG-PDFP methods and their applications.
Next-Generation AI - Pushing Beyond Machine Learning
Explore cutting-edge AI advancements beyond machine learning and discover opportunities for mathematicians to contribute to next-generation artificial intelligence development.
Artificial Intelligence and Cryptography: Privacy and Security in the AI Era
Explore the intersection of AI and cryptography, examining privacy challenges and security solutions in an AI-driven world with insights from Meta AI Research.
Blind Image Deblurring - What is the Next Step?
Explore advanced techniques in blind image deblurring, including surface-aware strategies and Quaternion-based methods for color image restoration, with applications in text and natural image processing.
Convergence and Non-Convergence of Algebraic Iterative Reconstruction Methods - Imaging and Inverse Problems Seminar
Exploring convergence issues in algebraic iterative reconstruction methods for X-ray CT, presenting theoretical results and novel approaches to address non-convergence in limited-angle and limited-data scenarios.
I Can See Clearer Now: The Optimal Regularization Parameter - Imaging and Inverse Problems Seminar
Explore automatic regularization parameter selection in image restoration, focusing on space-invariant blur and Gaussian noise. Learn about residual whiteness principle and its application to various variational models.
Normalization Effects on Neural Networks: Generalization and High-Dimensional Applications - SIAM FME Talk
Exploring neural network performance, normalization effects, and high-dimensional PDE solving using deep learning. Insights on generalization properties and applications in mathematical finance.
Joint Estimation and Contour Detection in Large Scale Image Processing
Explore joint estimation and contour detection in large-scale image processing, focusing on textured image segmentation and image restoration using advanced optimization techniques.
Recent Advances in Deep Learning and Data Analytics in Earth Sciences - 2017
Explore cutting-edge deep learning applications in geosciences, featuring talks from NASA, MIT, and other leading institutions on solving complex Earth and planetary challenges.
Collaboration Between Artificial Intelligence and Humans - Curing Every Disease Within 50 Years
Explore the potential of AI-human collaboration in revolutionizing medical research and disease treatment, with the ambitious goal of curing all diseases within half a century.
Delivering the Future of Automotive Innovation with RISC-V
Explore RISC-V's role in revolutionizing automotive innovation, from simplifying development to enabling collaboration and fostering individual opportunities across the supply chain.
Set Up a Llama2 Endpoint for Your LLM App in OctoAI
Learn to create a Llama2 endpoint in OctoAI for building LLM applications using RAG framework. Covers model cloning, endpoint setup, cost and hardware preferences, and testing in a sample app.
Sketching Algorithms for Max-DICUT and Other CSPs
Explore algorithms for Maximum Directed Cut problem in graph theory, focusing on sketching techniques, space complexity, and applications to Constraint Satisfaction Problems.
GPU-Powered AI Transformation
Explore cutting-edge GPU solutions revolutionizing ML, accelerating AI tasks, and driving enterprise transformation. Learn about GPU advantages, technologies, success stories, and implementation best practices.
Q&A Search with LangChain, CassIO & AstraDB
Learn to build a Q&A search system using LangChain, CassIO, and AstraDB. Enhance your skills in vector databases and natural language processing for efficient information retrieval.
Fusing Biophysics and Machine Learning for Computational Oncology
Innovative approach combining biophysics and machine learning to enhance understanding of cancer dynamics, utilizing clinical data to extract disease patterns and improve oncology research.
Geometry Aware Imitation Learning in Robotics
Explores geometry-aware imitation learning for robots, enabling precise movement planning and skill acquisition from demonstrations. Discusses handling non-Euclidean data using differential geometry tools.
Online and Hybrid System Identification Directly From Raw Sensory Signals
Explores neural networks with physical model biases for efficient system identification from sensory data, applicable to robotics, molecular modeling, and X-ray scattering inversion.
Generative AI: The Three Concerns Problem and Opportunities - Breaking Ground
Explore GenAI and LLMs' three key concerns and opportunities, with frameworks for implementing necessary guardrails, presented by security expert Sounil Yu.
Panel - Unleashing the Future: The Impact of Gen AI on Development Productivity
Explore the transformative impact of General AI on software development productivity, discussing opportunities and challenges with industry experts in this insightful panel discussion.