M.E.L.A.N.I.E. AI: The Power of Deliberate Reasoning in AI Artificial intelligence (AI) has rapidly evolved, achieving significant breakthroughs in various domains such as vision, language, games, and robotics. However, creating systems that can reason like humans – or surpass human reasoning – remains a formidable challenge. Reasoning, the process of drawing logical conclusions from facts, […]
The New Era of AI Reasoning with M.E.L.A.N.I.E. AI Artificial intelligence (AI) is a rapidly evolving field that has achieved remarkable feats in various domains, such as vision, language, games, and robotics. However, one of the most elusive and challenging goals of AI is to create systems that can reason like humans, or even better. […]
the white paper: M.E.L.A.N.I.E. AI: A Novel Approach to AI Reasoning with Thought Chains Introduction Artificial intelligence (AI) is a rapidly evolving field that has achieved remarkable feats in various domains, such as vision, language, games, and robotics. However, one of the most elusive and challenging goals of AI is to create systems that can […]
AI’s New Frontier: The Deliberative Power of M.E.L.A.N.I.E. AI Introduction The rise of AI has opened up a myriad of possibilities across a multitude of domains. The success of AI models, such as OpenAI and other large language models (LLMs), has established the efficacy of intuitive reasoning processes based on probabilistic frameworks. Intuitive reasoning processes […]
” Introduction: Artificial Intelligence (AI) has made significant strides in recent years, with advancements in machine learning and neural networks enabling machines to learn from data and make predictions. However, these models, which are primarily based on probabilistic reasoning, only represent one aspect of human cognition. The human brain doesn’t just passively process inputs and […]
The quest to understand and replicate intelligence, a characteristic feature of biological organisms, has led to the emergence of artificial intelligence (AI). Despite the significant strides made in AI, a comprehensive theory that unifies the principles underlying biological and artificial intelligence remains elusive. This paper proposes a unified theory of intelligence, drawing inspiration from […]
Abstract: This paper explores the potential of applying geometric interpretations, inspired by the transition from Feynman diagrams to the amplituhedron in quantum physics, to the optimization of artificial intelligence (AI) models. We propose that a similar geometric object could encapsulate the dynamics of AI models, potentially simplifying the analysis and interpretation of these models […]
Abstract: This paper explores the possibility of a four-dimensional geometric object, analogous to the amplituhedron in quantum field theory, that encapsulates the dynamics of Artificial Intelligence (AI) models. The aim is to investigate whether such a geometric object could simplify the analysis and interpretation of AI models, similar to how the amplituhedron simplifies calculations […]
Abstract In the realm of artificial intelligence and machine learning, the trajectory of data through a series of computational agents forms a complex narrative. This paper explores this narrative through the lens of a hierarchical model, wherein data undergoes a series of transformations, each conducted by a distinct agent. The M.E.L.A.N.I.E. framework, an acronym encapsulating […]
Unleashing Collective Intelligence: WP-AGI Thought Chains, OpenPromptProject, and the OpenAI D.E.A. In an era where Artificial Intelligence (AI) has become ubiquitous, it’s crucial that we democratize access to these technologies, ensuring their benefits are reaped by all of humanity. Two initiatives – WP-AGI Thought Chains and OpenPromptProject – sponsored by OpenAIdea.com, alongside the formation of […]