Courses from 1000+ universities
$7.2 billion in combined revenue since 2020. $8 billion in lost market value. This merger marks the end of an era in online education.
600 Free Google Certifications
Marketing
Cybersecurity
Machine Learning
Circuits and Electronics 1: Basic Circuit Analysis
Academic Writing Made Easy
Nutrition, Exercise and Sports
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Explore the intersection of symbolic methods and deep learning in AI, covering algorithms, Python packages, and progress towards AGI in this comprehensive introduction.
Explore probabilistic circuits with YooJung Choi, delving into advanced AI concepts at the intersection of symbolic methods and deep learning.
Explore abductive learning through key papers, covering concepts, new developments, and related research in neuro-symbolic AI. Gain insights into this exciting field at the intersection of symbolic methods and deep learning.
Explore human-centered explainable AI with Professor Mark Reidl, focusing on key concepts, latest research, and practical applications in this emerging field of artificial intelligence.
Explore neurosymbolic approaches to Inductive Logic Programming, covering key concepts, architectures, and experimental results from a seminal 2018 paper.
Explore symbolic reasoning using language model agents in this talk by Prof. Swarat Chaudhuri. Gain insights into cutting-edge research at the intersection of AI and symbolic methods.
Explore AI introspection approaches from ML and KR perspectives, covering ICNs, generative vs. discriminative models, and concept induction for enhanced machine learning understanding.
Explore classic AI search algorithms, from uninformed to advanced techniques, with insights on problem-solving strategies and heuristic development.
Explore multi-modal, pre-trained models in verifiable sequential decision-making for metacognitive AI, focusing on latest advancements and applications in artificial intelligence.
Explore a theoretically-grounded framework for assured machine learning in high-stakes domains, focusing on the intersection of symbolic methods and deep learning.
Explore neurosymbolic architecture ENN, its bottom-up training, and deep distillation with Milo Lin. Gain insights into explainability, biological inspiration, and practical applications.
Explore various experimental approaches in AI and ML, focusing on methodologies used in cutting-edge research and practical applications.
Explore metacognitive intervention for accountable LLMs through sparsity. Gain insights into cutting-edge research at the intersection of symbolic methods and deep learning.
Explore abductive inference in AI, covering basic concepts, types, and applications. Learn about geospatial abduction, probabilistic horn abduction, and its use in perception.
Explore mutual trust in human-AI teams through metacognition. Gain insights into the role of metacognitive abilities in fostering collaboration between humans and artificial intelligence systems.
Get personalized course recommendations, track subjects and courses with reminders, and more.