Augmented-borrowing

Augmented-borrowing (Noun): The ability to use augmented reality to borrow items, tools, or services without having to directly ask the owner by using a brain interface to detect the owner's intentions
if you needed to borrow a snow shovel, you could use augmented-borrowing to access the shovel without having to ask the owner directly. The brain interface would detect the owner's intentions, and if they weren't planning on using the shovel at that time, you would be granted access to it
by Phieyl January 16, 2023
mugGet the Augmented-borrowing mug.

Nova-mining

Nova-mining (noun): The hypothetical process of using a planet-sized object to collect and process the dust expelled by a supernova explosion in order to create new materials. The term conveys the idea of using advanced technology and resources to harness the energy and materials expelled during a supernova event.
In the future, scientists hope to develop nova-mining techniques to collect and process the materials expelled during a supernova event, in order to create new resources for humanity.
by Phieyl January 15, 2023
mugGet the Nova-mining mug.

Dynamic Personal AI

Dynamic Personal AI (DPA): A type of artificial intelligence that adapts and changes its personality based on the evolving interests, preferences, and behavior patterns of its user over time
Samantha programmed her home AI to function as a Dynamic Personal AI, so it could learn and grow with her changing interests and tastes.
by Phieyl February 01, 2023
mugGet the Dynamic Personal AI mug.

HyperIQtual

HyperIQtual (noun) : A person who possess a combination of exceptional cognitive abilities and a high intelligence quotient (IQ). This person has the ability to think and process information clearly and efficiently and has a superior mental acuity. They are highly perceptive, quick-witted, and able to retain and recall large amounts of information with ease.
John is a HyperIQtual, he solved the complex mathematical equation in a matter of minutes and he can remember details of the books he read a decade ago
by Phieyl January 13, 2023
mugGet the HyperIQtual mug.
Resource Acquisition Reinforcement Learning (RARL): Is a type of machine learning where an artificial intelligence (AI) is trained to obtain a specific resource, such as fuel or other necessary materials, through a process of trial and error. The AI uses reinforcement learning algorithms to determine which actions lead to the acquisition of the resource and adjusts its behaviour accordingly. This process involves learning from past experiences and gradually refining the AI's understanding of what actions are most likely to result in the acquisition of the resource, leading to more efficient and effective resource acquisition over time. The ultimate goal of resource acquisition reinforcement learning is to create an AI that can efficiently and effectively acquire resources in real-world environments.
The robot was programmed with a resource acquisition reinforcement learning algorithm to help it quickly and efficiently acquire the necessary materials.
by Phieyl February 04, 2023
mugGet the Resource Acquisition Reinforcement Learning mug.

AIshaper

AIshaper (noun): An individual who possesses greater influence in guiding the learning and adaptation of a Universal Personal AI, allowing them to more significantly customize the AI's behavior and responses to their preferences and needs.
As a leading AIshaper, Mike was able to provide valuable insights and modifications to the Universal Personal AI, ensuring a more personalized and intuitive experience for himself and other users.
by Phieyl March 24, 2023
mugGet the AIshaper mug.

GrapheneML

GrapheneML (noun): A novel approach to manufacturing graphene transistors that leverages the power of machine learning algorithms to identify and compensate for imperfections in the manufacturing process, resulting in more reliable and high-performance computing systems.
The cutting-edge computer chip design leveraged GrapheneML to optimize the manufacturing of graphene transistors, resulting in faster and more energy-efficient computing.
by Phieyl February 02, 2023
mugGet the GrapheneML mug.