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). 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 mental ability determined by forebrain functioning and is 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 while the unconscious mind consists of deeper mental processes such as 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 biomedical, biomechanical, bioindustrial, and other biological data for training and other input (https://lnkd.in/gFrCYj5k). 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 for more information and Bioartificial Intelligence™ and bioAI™ collaboration.
