Sensible and Sensitive AI for Worker Wellbeing: Factors Informing Adoption and Resistance
Explores factors influencing adoption of AI systems for worker wellbeing, analyzing sensing methods, inference types, and data sharing preferences to guide worker-centered implementations.
A Hybrid Intelligence Approach to Developing Generative AI Applications
Explore hybrid intelligence in generative AI, combining human creativity and AI automation. Learn strategies for synergetic interfaces, mutual learning, and value creation in AI applications.
Semantic Search: Revolutionizing Information Retrieval - Nils Reimers
Explore semantic search's power to enhance retrieval accuracy using pre-trained transformer networks. Learn how it overcomes lexical limitations and improves multilingual search efficiency across 100+ languages.
Data, Democracy, and Decisions - AI's Impact on Elections
Experts discuss AI's potential impacts on democracy, exploring challenges and opportunities for maintaining election integrity in the digital age. Panel covers key issues at the intersection of technology and governance.
Integrating Expertise in LLMs: Crafting a Customized Nutrition Assistant - CHI 2024
Explore the development of a GPT-based nutrition assistant, integrating dietitian expertise to enhance food product explanations and personalized nutrition information generation.
Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI - Industry Teams
Toolbox for data science teams to discuss ethical implications of AI through roleplay scenarios, fostering responsible practices and real-world application of ethical considerations.
AI and Robotics for Inclusive Music-Making
Exploring AI and robotics in inclusive music-making, enhancing creative opportunities for disabled musicians and transforming ensemble practices through digital score technology.
A Design Space for Intelligent and Interactive Writing Assistants
Proposes a structured design space for intelligent writing assistants, exploring five key aspects: task, user, technology, interaction, and ecosystem, based on a systematic review of 115 papers.
Helping Children Construct Creative Self-Efficacy with Generative AI
Explore how children interact with generative AI tools for creative projects, examining perceptions, processes, and potential impacts on creative self-efficacy in young users.
Memoro: Using Large Language Models for Real-Time Memory Augmentation
Explore Memoro, a wearable audio-based memory assistant using LLMs for minimal disruption in real-time conversations, enhancing recall confidence and reducing device interaction time.
VAL - Interactive Task Learning with GPT Dialog Parsing
Explore VAL, an innovative system combining large language models and symbolic AI for interactive task learning, enabling natural language instruction and interpretable knowledge acquisition.
Breaking Barriers - Unleashing Human Potential in the Age of AI
Explore the complex relationship between humans and AI, examining how technology challenges our essence and reshapes society. Learn to embrace innovation and adapt to the evolving digital landscape.
Building Sustainable AI for All
Explore the future of AI across diverse fields, its potential environmental impact, and the importance of developing sustainable, inclusive AI models for the benefit of all.
Reproducing Karpathy's GPT-2 for Audio - ML Scientist's Approach
Explore the reproduction of Karpathy's GPT-2 model for audio, showcasing innovative applications of machine learning in sound processing and generation.
State Space Models: Advancements and Applications in AI - Featuring Albert Gu and Karan Goel
Explore state space models with experts Albert Gu and Karan Goel, discussing their groundbreaking research, real-time demos, and how SSMs compare to transformers in AI applications.
Quiver Representations and Neural Networks
Explore quiver representations in linear algebra and their application to neural networks, examining moduli spaces and network function spaces.
How State Machines Create Robust Software - Deep Dive
Explore XState for robust software development using state machines and actor models. Learn about state charts, AI integration, and practical applications while gaining insights into founding a tech startup.
Understanding Lower-Level Intelligence from AI, Psychology, and Neuroscience Perspectives
Explore lower-level intelligence through AI, psychology, and neuroscience perspectives with insights from three experts in a concise, multi-disciplinary discussion.
The Role of Prior Data in Rapid Learning of Motor Skills
Exploring how prior experience accelerates skill acquisition in reinforcement learning, addressing challenges in pretraining and fine-tuning policies for efficient motor skill development.
Principles of Learning in Distributed Neural Networks
Explore how depth shapes learning dynamics in the brain, analyzing deep network models and their implications for neural representations and behavior in rodent studies.
Relational Predictive Reasoning in Brains and Machines
Exploring predictive models in deep learning, comparing AI and brain representations, and discussing Graph Neural Networks for simulating complex dynamical systems.