Abstract: An Artificial Intelligence Gaze Interface Sensor (AI GIS) system and method for precisely tracking human gaze on a digital or projected view plane without head-mounted hardware. A context camera detects a user's face and matches it against stored biometric profiles using AI facial recognition, automatically loading personalized eye geometry, inter-pupillary distance and gaze calibration data. A conditional activation controller initializes a second Peregrine Foveal Camera (PFC), modeled after the dual-fovea retina of the Falco peregrinus, only upon confirmed eye detection. An AI algorithm triggers visual effects, hidden content, animations, gaze-based engagements and semantically mapped audio on the digital or projected plane based on gaze coordinate outputs, from a dedicated computational pipeline, correlated to the digital or projected plane. This invention serves as the sensing layer for U.S. application Ser. No. 18/395,290.

Abstract: An automated system for predictive liquid quality management in high-performance computing (HPC) data center cooling infrastructure. The system periodically extracts coolant samples from a liquid loop and performs a series of analyses to detect potential contaminants and degradation factors, including copper ion concentration, dissolved metals, microbial activity, hardness, sulfur compounds and galvanic corrosion indicators. Analytical results are processed by an artificial intelligence module trained on historical coolant chemistry, server workload telemetry and quantifiable coolant loop and datacenter environmental factors to forecast deterioration events and generate alerts and reports for personnel. Frequency of sampling and testing can be adjusted. Based on predictive outcomes, the system generates corrective action recommendations such as filtration scheduling, sterilization, or maintenance alerts, without direct chemical dosing.

Abstract: The use of artificial intelligence to track someone's eye or eyes at any location of a screen, not head mounted (NHM), or projected visual plane to apply various visual effects and animations to and around the characters, texts, images, etc. they are viewing. This includes but is not limited to emotional animations, animated text, appearing and disappearing characters, background animations and visual effects related to words, characters, numbers, emotion animations and phrases being in view. The author can choose where these effects occur on a visual plane or around text, characters, emotional animations, numbers, etc. before, during or after the reader views the area around its location or choose to have the a.i. algorithm apply the effects for them. Effects can also be revealed through sounds the reader makes. The a.i. also tracks eye movements to be used as a pointer on a screen NHM or projected visual plane.

Abstract: A wearable electronic device that uses artificial intelligence, trained to recognize the play calls, formations, team roles, player audibles and player position changes. This device is worn by every role on a team. On command from a responsible party, it will generate a display for the play call and individual player expectations to the individual players. Each device has its own identifiable ID and functions according to the role of the individual wearer from coaches to players. The commands can be audio, visual or text. Artificial intelligence interprets commands and communicates with each player's device on the team which then displays the change to the formation or play and highlights the individual player's expectations matching the role of the receiving device. The device may give GPS feedback for statistics and utilize cloud processing. The devices communicate using 4G, 5G or any cellular technology method not yet discovered.