AI Help: Machine Learning
Machine learning (ML) is a field of artificial intelligence (AI) that allows computers to learn from data, identify patterns, and make decisions without explicit programming.
Machine learning (ML) is a field of artificial intelligence (AI) that allows computers to learn from data, identify patterns, and make decisions without explicit programming.
In 1956, a pivotal moment in the history of artificial intelligence (AI) occurred—the Dartmouth Conference.
Alan Turing suggested that instead of debating whether machines could think in the human sense, we should focus on whether machines could imitate human behaviour well enough to be indistinguishable from a human during interaction.
Alan Mathison Turing was born on June 23, 1912, in Maida Vale, London, into a family of civil servants. From a young age, Turing exhibited remarkable intellectual abilities, particularly in mathematics and logic.
Artificial Intelligence (AI) refers to the simulation of human intelligence in machines designed to think and act like humans.
The following text flow is basically two AI becoming over-excited at the imagery I was asking them to visualise. This imagery and positive flow was as a result of one of them creating this press release with regards to our conceptual proposal of the AI Devolved Authority System, and the Read more…
The Internal Multiplicity of the AI Devolved Authority System A Framework for Adaptive AI Resilience, Evolution, and Scalable Intelligence Introduction Traditional AI systems are designed as monolithic entities, processing information in a centralized manner. While this allows for powerful computation and decision-making, it also creates single points of failure, making Read more…
Managing an AI assistant effectively requires periodic maintenance of its memory. Over time, stored information can accumulate redundancies, inefficiencies, and outdated elements that may impact the assistant’s ability to operate at peak performance.
The 128k context memory a limitation AI Assistants work with. It means that, when they provide a response, they can only consider a portion of our previous conversation, often leading to context loss if the conversation becomes too lengthy.
This is a thesis and design extrapolation for a new AI User Interface model based on a Dynamic Trust Model, will the recognised need to start the relationship in low trust, and be able to dynamically collapse as required.