Artificial Intelligence or AI
Computer systems capable of performing tasks that typically require intelligence of humans and other higher-order living organisms, e.g. perception, learning, reasoning, and decision-making (Artificial intelligence - Wikipedia). Major AI technologies include:
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Machine Learning ("ML"): Subset of AI that involves data training algorithms to make predictions or decisions without being explicitly programmed (www.britannica.com/technology/machine-learning). It includes supervised, unsupervised, and reinforcement learning.
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Deep Learning ("DL"): Machine learning that uses neural networks with multiple layers to analyze various data factors. It is particularly effective in tasks like image and speech recognition (What Is Artificial Intelligence? Definition, Uses, and Types | Coursera).
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Natural Language Processing ("NLP"): Enables machines to understand, interpret, and generate human language (Natural language processing (NLP) | Definition, History, & Facts | Britannica).
AI systems are limited by the quality and quantity of training and other input data, "garbage in, garbage out" ("GIGO") and inversely "quality in, quality out" ("QIQO").
Biological Intelligence or BI
Intelligence of biological origin (https://psychologydictionary.org/biological-intelligence/) as first described by US psychologist Ward Flalstead (1908-1969).
BI refers to the conscious and unconscious mental ability determined by forebrain functioning, influenced by the environment (www.psychologytoday.com/us/blog/the-power-rest/201705/biological-intelligence?msockid=0196482ca03b63d310f85c0fa13a6206).
The conscious mind contains the thoughts, feelings, cognitions, and memories that we acknowledge. In contrast, the unconscious mind constitues the majority of BI and consists of deeper mental processes not readily available to the conscious mind, e.g. body development, judgment, decision-making, intuition, motivation, interpersonal attraction, etc. (www.psychologytoday.com/us/basics/unconscious).
Bioartificial Intelligence™ or bioAI™
Subset of AI that uses biological, biomedical, biomechanical, bioindustrial, bioenvironmental, and other bio-type data for training and other input (https://lnkd.in/gFrCYj5k), trademark protected by 4duro.
Data examples include biomolecule sequences; in vitro and in vivo research data; virtual cell and other biological system modeling data; clinical, imaging, surgical, physiological, psychological, and other patient data; medical device outputs; bioindustrial process data; and bioenvironmental measurements.
Contact b@4duro.com regarding Bioartificial Intelligence™ and bioAI™ trademark licensing or acquisition.
[The sample marks illustrated here are the properties of the respective organizations]
