How Connections Build Intelligence - Human and Artificial
Explore the fundamental role of connections in building intelligence, both in human brains and artificial systems, with insights from AI entrepreneur Nigel Toon on information processing and knowledge creation.
Does ChatGPT Have a Theory of Mind? Prompt Engineering Principles
Explore prompt engineering principles and ChatGPT's potential theory of mind through practical examples, enhancing AI interactions for business and creative applications.
The Search for Emotions, Creativity, and Fairness in Language
Exploring emotions in language: representation, annotation, and applications in NLP, psychology, and social sciences. Discusses computational creativity and addressing biases for fairer AI systems.
AI-Driven Solutions for Improving Childhood Mental Health Care
Explore AI-driven solutions for early detection of mental health concerns in young children, revolutionizing emotional well-being support and providing crucial insights for parents and healthcare providers.
Now is Better - A Long-Term Perspective on World Progress
Explore long-term global progress through innovative visualizations, challenging common perceptions and offering a fresh perspective on societal advancements.
Rebooting AI: Building Artificial Intelligence We Can Trust - Part 1
Explore key insights from "Rebooting AI" in this book review, examining current AI limitations and future potential for more robust and reliable artificial intelligence systems.
Speech Recognition in the Context of Variability: Lessons from Human Listeners
Explore how human listeners adapt to speech variability, leveraging systematic variance for robust phonetic constancy. Gain insights into cognitive processes underlying speech recognition and communication.
Language Understanding Using Neuro-symbolic AI: The Need for Varied, Comprehensive, and Stratified Knowledge
Explore neuro-symbolic AI for language understanding, focusing on diverse knowledge types and their stratification to enhance comprehension and reasoning capabilities.
Reflection of Mitchell et al. - Lecture 18
Explore Mitchell et al's work with Dr. Valeri Shalin and Savannah Seals, gaining insights into their reflections and analysis of the research.
Machines Like Us: Towards AI with Common Sense
Explore AI's quest for common sense reasoning, examining challenges and potential breakthroughs in creating machines that think like humans.
The Emotional Machine
Explore the concept of emotional intelligence in machines and its implications for AI development with researcher Megha Chakraborthy.
Implementing Engrams from a Machine Learning Perspective: Matching for Prediction
Explore machine learning approaches to implementing engrams, focusing on matching techniques for predictive modeling in neuroscience and cognitive science.
Neural Network Models of Visual Learning and Development
Explore neural network models for understanding visual learning and development in natural and artificial intelligence with MIT postdoctoral fellow Chengxu Zhuang.
Rewiring Your Brain - Boost Productivity with Test Driven Thinking in C++
Explore how test-driven thinking enhances productivity, improves focus, and makes coding enjoyable. Learn psychological insights to supercharge your C++ development process.
Symbolic Behavior in AI - Lessons for Whale Communication Research
Explore AI's symbolic behavior and its potential implications for understanding whale communication, drawing insights from recent research and diverse perspectives.
From Simulated Subjectivity to Collective Consciousness in Large Language Models
Explore the evolution of AI from simulated subjectivity to collective consciousness, examining implications for higher-level intelligence across AI, psychology, and neuroscience.
AI and Emotions: Opportunities and Challenges
Explore the potential and challenges of AI emotion perception technologies, their applications, and the importance of responsible development and deployment practices.
Social Behavior Prediction from Video Observations
Explore AI techniques for predicting social behavior from video data, examining applications in psychology and neuroscience for understanding higher-level intelligence.
Retrospective on Multi-Agent Learning as a Path to Intelligence
Explore the potential of multi-agent learning in advancing artificial intelligence, drawing insights from psychology and neuroscience perspectives.
Linguistic Interaction in Humans and Machines - Understanding Higher-Level Intelligence
Exploring methods from cognitive science to study ML models and human cognition, focusing on language-based projects that analyze adaptation and generalization in linguistic interactions.
Understanding Higher-Level Intelligence: 10 AIs or 10 Billion AIs
Explore the future of AI: comparing small, specialized models with large, general-purpose systems. Insights from AI, psychology, and neuroscience on higher-level intelligence.