
Explore knowledge representation and reasoning in AI, covering logic, rule-based systems, natural language semantics, and advanced topics like circumscription and epistemic logic.

Explore key cognitive processes including perception, attention, memory, language, and decision-making, gaining insights into how the human mind processes information and solves problems.

Explore artificial intelligence fundamentals, algorithms, and applications. Learn about search techniques, game theory, planning, expert systems, logic, and constraint satisfaction problems.

Explore deeper insights into understanding motivations and purpose, building on previous concepts to enhance personal and professional growth.

Comprehensive exploration of AI concepts, from search algorithms and logic to planning, expert systems, uncertainty reasoning, fuzzy logic, machine learning, and natural language processing.

Comprehensive exploration of AI concepts, from problem-solving and search algorithms to knowledge representation, reasoning, planning, decision-making, and various machine learning techniques.

Explore the art of crafting persuasive arguments in real-world contexts, enhancing your ability to communicate effectively and influence others through logical reasoning.

Explore AI's future with Yann LeCun as he discusses advancements in machine understanding, reasoning, and planning, offering insights into the potential of artificial intelligence.

Explore human intelligence through infant studies, uncovering cognitive development and the foundations of learning with insights from pioneering research.

Following up on the course on basic cognitive processes the current course will build upon how the basic mental processes like memory, attention & perception give rise to higher-level cognitive processes.

Explore innovative techniques for enhancing multimodal knowledge graph completion through semantic neighbor retrieval and contrastive learning.

Explore innovative techniques for editing knowledge graphs to enhance recommendation systems, focusing on improving accuracy and relevance.

Explore transformer-based reasoning for learning evolutionary event chains on temporal knowledge graphs, enhancing understanding of complex temporal relationships.

Explore OpenAI's o1 model: an LLM trained via reinforcement learning for improved reasoning in math, programming, and science tasks.

Explore the concept of out-of-distribution generalization in LLMs through the lens of robust logic and PAC learning. Gain insights into how humans and AI systems can make principled predictions beyond their training data.

Explore LLM metacognition and its impact on AI capabilities. Gain insights into how large language models demonstrate deeper understanding and reasoning about their own skills and learning processes.

Dive into object recognition reasoning, exploring embodied AI and metacognition concepts with insights from an expert in the field of neuro-symbolic artificial intelligence.

In this crash course, you will learn about Reasoning for SSC CGL.

Comprehensive reasoning preparation for banking exams, covering syllogism, inequalities, coding-decoding, blood relations, puzzles, and more through expert-led video lessons.

Comprehensive reasoning preparation for IBPS PO/Clerk exams, covering syllogism, puzzles, seating arrangements, and more. Enhance logical skills for competitive exams.

In this course, you will learn all about CAT preparation. Common Admission Test - CAT is the largest national level entrance test for MBA admission in IIMs and other top MBA colleges in India.