Oceanit Laboratories, Inc.

Matthew Williams

Christopher J Sullivan

Matthew Sullivan

Vinod P Veedu

Ganesh Arumugam

Glen Nakafuji

David Siu

Ken Cheung

Bryce Davis

Erika Brown

Jeffrey Watumull

Noam Chomsky

Patrick Sullivan

The present invention is generally directed to artificial intelligence (AI) systems and materials. In particular, the invention relates to human-like AI that utilizes a symbolic thinking engine to create explanatory theories. Such theories are based on an iterative process that adjusts for available information, context, and/or perspective, and can be created based on sparse information. The invention then iterates to return a useful result that can also be predictive. In one or more embodiments, the present invention is modular and scalable, enabling the addition of multiple domains that collaborate in parallel, similar to how the human mind/brain is believed to work.

Systems and methods for artificial intelligence—and machine learning-based evaluations and explanations of problems

Disclosed herein are novel devices, systems, and methods for resource recovery from various feed streams, including both liquid and solid waste streams. Specifically disclosed is a plasma gasification unit and/or system operated or controlled by artificial intelligence (AI). The AI can utilize reinforcement learning (RL) processes to adjust operational parameters for maximizing efficiency and/or output. The plasma gasification unit and/or system may be modular and/or mobile, with portions sized such that they may be contained in one or more shipping containers. The plasma gasification unit and/or system may also include one or more plasma gasification chambers, and uses electrical energy to form a high temperature plasma arc that gasifies feed materials (e.g., brine, brackish water, plastics) into saleable products (e.g., hydrogen, syngas and other fuels, methanol, ammonia, urea).

Modular artificial intelligence-driven plasma gasification process for resource recovery

Disclosed herein are devices, systems, and methods for the intelligent fuzzing of cyber-physical systems, including the use of artificial intelligence (AI) for such fuzzing. In at least one embodiment, a method is disclosed for intelligent fuzzing, which includes the steps of (1) characterizing 'normal' behavior of the cyber-physical system being tested, which may include, for example, utilization of a causal model to analyze causal relationships between various messages sent to and/or from the system being tested, (2) identifying dependency relationships between these various messages and/or generating a dependency graph for the messages, and (3) fuzzing an incoming message from the system under test. The fuzzing process may include querying the causal model to determine if the message is contained within the model. Fuzzing may further include altering the message's contents by, for instance, randomly manipulating particular message fields and/or replacing letters with other letters.

Artificial intelligence-based fuzzing of cyber-physical systems

The present invention is generally directed to systems and methods for preparing and producing a custom-fitted face mask, including, as non-limiting examples, a CPAP nasal mask and a CPAP full face mask. At least one embodiment of the invention utilizes infrared (IR) lasers, such as, for example, those found on smartphone cameras, in order to generate a 3D point cloud model of an individual's face. This point cloud model is then used to produce a custom face mask cushion, which is used to customize a generic face mask to conform to the user's specific facial geometry.

System and method for producing custom fitted face masks and applications thereof

The present invention is generally directed to anatomically conforming apparatuses, and the creation, design, and fitting of such apparatuses. In at least one embodiment, the present invention relates to masks that require a conformal fit to a user's face, including, but not limited to, respirator and breathing masks, oxygen masks for both civil and military pilots, ventilation masks used in hazardous environments, and the like. One or more methods for clustering facial scans to design a finite set of mass-producible masks is also described, such that each individual in a given population can be assigned at least one mask in the set of masks that is anatomically conforming to that individual's specific facial geometry. Also described are one or more methods for fitting a face mask to a specific individual based on a 3-D scan of that individual's face.

Growing community of inventors

Honolulu, HI, United States of America

Matthew Williams