Next-Gen AI Processors and Why We Need to Think Differently About Software 2.0
Explore next-gen AI processors, computational challenges in machine learning, and innovative approaches to efficient processing beyond traditional GPU solutions.
Meaningful Signals Within Deep Learning Models for Biology - Primer and Meeting
Explore deep learning models in biology, from curating meaningful pre-training data to disentangling experimental noise, enhancing performance in biomedical imaging and high-throughput microscopy experiments.
Inferring Single Cell Profiles from Histology and Generating Omics Data from Images
Explore cutting-edge machine learning techniques for inferring single-cell profiles from histology images and generating omics data from various imaging modalities, bridging the gap between imaging and genomics.
Image-Guided Robotics: Closing the Loop in Surgical Robotics
Explore image-guided robotics and interventional imaging in surgical robotics with Ali Uneri, Assistant Research Professor at Johns Hopkins University, in this informative discussion on innovation.
Prompt Engineering Tips for Midjourney and Better AI Art
Master 15 essential prompt engineering tips to enhance your Midjourney AI art creation skills, from prioritizing keywords to exploring styles and optimizing formulas for better results.
How to Use OCR: Getting Started with Optical Character Recognition
Explore OCR models, benchmark performance, and follow a step-by-step guide to implement Optical Character Recognition in your projects.
Building Generalist Robotics Policies from Scratch
Build a Generalist Robotics Policy from scratch, reimplementing the "Octo" model step-by-step. Learn to create, train, and evaluate large models for robotics using interaction data and transformer architecture.
New AI Features in Adobe Camera RAW 17.0
Explore new AI features in Adobe Camera RAW 17.0: Adaptive Presets, Generative Expand, and non-destructive enhancements for improved image editing.
Challenges in Perinatal Computational Neuroimaging in the In Vivo and Ex Vivo Domains
Explore cutting-edge neuroimaging solutions for human brain development, focusing on algorithm development and multimodal imaging techniques for infants and postmortem tissue.
Deploying Efficient Data-Centric AI 100x Faster
Accelerate AI application development and deployment 100x using dedicated platforms, data labeling, pre-built models, and AI-automation. Explore region classification and deep-trained object detection approaches.
End-to-End MLOps for Computer Vision
Explore end-to-end MLOps for Computer Vision, from data gathering to model monitoring. Learn to implement ML pipelines using tools like Amazon SageMaker, Kubernetes, Kubeflow, and MLFlow.
Understanding Foundation Models: A New Paradigm for Building and Productizing AI Systems
Explore foundation models as a new AI paradigm. Learn practical ways to leverage these models in building and productizing AI systems for your company.
What Engineers Don't Get About Working with Data Scientists
Explore challenges and solutions in engineer-data scientist collaborations for operational ML. Gain insights on effective teamwork, process integration, and overcoming common hurdles in MLOps.
Diffusion Models for Generative Outfit Recommendation - Session T2.2
Explore innovative diffusion models for generative outfit recommendations, enhancing personalized fashion suggestions through advanced machine learning techniques.
Hierarchical Semantics Alignment for 3D Human Motion Retrieval
Explore hierarchical semantics alignment techniques for efficient 3D human motion retrieval in this concise presentation on advanced computer vision applications.
Multimodality Invariant Learning for Multimedia-Based New Item Recommendation - Lecture 6
Explore innovative techniques for multimedia-based new item recommendation using multimodality invariant learning, enhancing recommendation systems' performance and user experience.
Uncertainty-Guided Noisy Correspondence Learning for Efficient Cross-Modal Matching - Multimodal Session 3.3
Explore uncertainty-guided noisy correspondence learning for efficient cross-modal matching in multimodal systems, enhancing data analysis and information retrieval techniques.
Self-Improving Teacher Cultivates Better Student: Distillation Calibration for Multimodal Large Language Models - Lecture 3.3
Explore innovative distillation calibration techniques for multimodal large language models, focusing on self-improving teacher methods to enhance student model performance.
How to Get Started in Affinity Photo
Discover essential tips and hidden tricks to quickly master Affinity Photo, from basic setup to advanced techniques. Go from beginner to expert in just 20 minutes.
Infinite Limits and Scaling Laws of Neural Networks
Explore infinite parameter limits of deep neural networks, scaling laws, and their impact on performance. Gain insights into representation learning and computational resource optimization for neural network training.
Annotate Images Like a Pro - Python Image Annotation Tool Demo
Master Python-based image annotation with a comprehensive tool for 2D and multi-dimensional images. Learn manual and semi-automatic techniques, export options, and additional features for efficient image analysis and model training.