Demystifying Mixtral of Experts - Stanford CS25 Lecture
Explore Mixtral 8x7B, a Sparse Mixture of Experts model, with Albert Jiang. Learn about its architecture, expert routing, and how it processes 47B parameters while using only 13B during inference.
Human-Robot Interaction - Enhancing Human Performance with Autonomous Robots
Explore the future of human-robot collaboration with Stanford experts, discussing autonomous robots, enhancing human performance, and understanding human intent in collaborative design.
Robot Skill Acquisition: Policy Representation and Data Generation
Explore solutions for scalable, reusable, and robot-complete data in robotics, addressing challenges and hidden costs to advance robot learning beyond current limitations.
Democratizing Model Discovery with Neural Networks
Explore how neural networks revolutionize automated model discovery for soft materials, making it accessible to a diverse community and accelerating scientific innovation in various fields.
AI's Global Impact on Democracy and Governance
Explore AI's influence on global democracy, disinformation, and governance. Learn about challenges and strategies to ensure democratic values prevail in the digital age.
AI in the Workplace: Rethinking Skill Development
Explore the impact of Generative AI on workplace training, employee duties, and skill development. Learn strategies for integrating AI tools to enhance individual and team performance in the evolving work landscape.
Artificial Intelligence - The Future of Medicine and Health Care Is Here
Explore AI's transformative impact on healthcare through Stanford Medicine's innovations, including automated transcription and augmented reality in surgery, guided by responsible AI principles.
Divide and Conquer - Concept-based Models for Efficient Transfer Learning
Exploring concept-based interpretable AI models for efficient transfer learning in healthcare, focusing on generalizability and minimal data requirements for domain adaptation in medical imaging.
AI's Role in Improving Health Care Services in Our Communities
Stanford experts discuss AI initiatives in healthcare, focusing on early disease detection, preventive care, and reducing provider burnout, while addressing privacy and equity concerns.
AI Transforms Health Care - The Future of Medicine and Health Care
Explore AI's transformative role in healthcare, focusing on ethical implementation, data structure, and real-world applications. Learn about Stanford's innovative AI projects and their impact on patient care.
SleepFM - Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals
Explore SleepFM, a groundbreaking multi-modal foundation model for sleep analysis, leveraging brain, cardiac, and respiratory data to improve sleep stage classification and disorder detection.
Towards Robust Radiogenomic Models for Brain Tumor Characterization - MedAI #123
Exploring stability of radiomics features in brain tumor segmentation and impact on predictive models. Investigates how stable, discriminatory features lead to generalizable radiogenomics for tumor characterization.
Integrating Pathology Images and Genomics Data for Cancer Grading
Innovative AI methods for integrating pathology images and genomics data to enhance cancer grading accuracy, addressing modality challenges and improving performance when genomics data is missing.
Holistic OR Domain Modeling with Large Vision Language Models - MedAI #120
Innovative approach to automated OR modeling using Large Vision Language Models, leveraging semantic scene graphs for comprehensive surgical environment understanding and enhanced decision-making.
AI-Driven Advancements in Mammogram Analysis - MedAI #119
Exploring AI applications in mammogram analysis for cancer screening and cardiovascular risk assessment, addressing challenges in healthcare AI adaptation and extracting actionable clinical insights.
Lung Cancer in Asian Americans: Screening, Treatment, and Advancements
Explore lung cancer's impact on Asian Americans, screening guidelines, and treatment advancements. Learn about rising rates among non-smokers and cutting-edge surgical techniques for improved outcomes.
Learn About: Google's AI-Powered Learning Tool - HAI Seminar
Explore Google's experimental AI learning tool, Learn About, combining search knowledge with Gemini's conversational abilities to revolutionize education through personalized, interactive learning experiences.
Deep Learning in Life Sciences - Spring 2021
Explore cutting-edge applications of deep learning in genomics, drug design, protein folding, pathology, and neuroscience. Gain insights into AI's transformative potential in life sciences research and healthcare.
The Task Specification Problem
Exploring challenges in AI task specification, focusing on aligning human communication with machine understanding to improve robustness, transfer, and feature learning in AI systems.
Intuitive Reasoning as Unsupervised Neural Generation
Explore intuitive reasoning in AI through neural generation, covering topics like common sense, language models, and multimodal information with researcher Yejin Choi.
Jacob Andreas - Natural Language Explanations of Deep Networks
Explore strategies for generating natural language explanations of deep networks, covering medical diagnosis, multiagent communication, and neuron descriptions in AI systems.