The Amplituhedron is a geometric object that has revolutionized the way physicists think about the universe. It is a mathematical structure that goes beyond spacetime and describes the behavior of particles in a way that is simpler and more elegant than traditional methods. By exploring the Amplituhedron, physicists hope to gain new insights into the fundamental nature of the universe and the laws that govern it.
Monthly Archives: April 2023
Decorated permutations classify Markovian gluon collisions according to their topological properties.
The Theory of Conscious Agents proposes a new paradigm for understanding consciousness. Instead of seeing consciousness as a property of individual brains, it suggests that it arises from a network of interacting conscious agents. This theory has the potential to revolutionize our understanding of the nature of consciousness, and could have far-reaching implications for fields such as neuroscience and artificial intelligence.
Bridging Symbolic and Numeric AI with Feynman Diagrams: An Overview
Cellphone radiation is a type of electromagnetic radiation that emits from mobile devices. While no conclusive evidence has been found, some studies suggest that long-term exposure to this radiation could potentially increase the risk of certain health problems, including cancer, infertility, and neurological disorders. Researchers are still studying the extent of these risks and how individuals can protect themselves from exposure.
Introduction Artificial intelligence (AI) has evolved along two distinct paths: symbolic AI and numeric AI. In this blog post, we explore a novel approach to understanding transformer models, which are primarily numeric and data-driven, through the lens of Feynman diagrams, a symbolic representation used in quantum field theory. Our goal is to bridge the […]
A Feynman Diagram-Inspired Approach to Understanding Transformer Models Abstract: The divide between symbolic AI and numeric AI has led to a range of AI models and techniques that rely on either formal, rule-based systems or data-driven, neural network-based approaches. This paper aims to explore the possibility of bridging this gap by drawing inspiration from Feynman […]
The Federal Communications Commission (FCC) has come to the rescue of SpaceX, siding with the tech giant in a spectrum spat that threatened the future of Starlink. This decision is a huge win for the company and its efforts to provide low-cost, high-speed internet to people across the globe. Cheers to Starlink and the FCC for protecting our digital future! 🎉🚀🌎
Visualizing AI Interactions: A Feynman Diagram-Inspired Approach to Understanding Transformer Models Abstract: In this paper, we propose an analogy between the input path of transformer AI models and Feynman diagrams, a well-established graphical representation of particle interactions in quantum field theory. While recognizing the fundamental differences between these two domains, our goal is to explore […]
I. Introduction Higher dimensional structures are complex geometric entities that exist beyond the familiar three-dimensional space and one-dimensional time (collectively known as spacetime) that we typically perceive. Recent advancements in machine learning research have suggested that these structures might play a crucial role in the underlying processes of artificial intelligence (AI) and machine learning algorithms. […]