Artificial Intelligence or AI
Computer systems capable of performing tasks that typically require intelligence of humans and other living organisms, e.g. perception, learning, reasoning, and decision-making (Artificial intelligence - Wikipedia). AI technologies include:
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Machine Learning: Subset of AI that involves training algorithms on data 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: Machine learning that uses neural networks with many layers (hence "deep") to analyze various factors of data. 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).
All AI systerms are naturally limited by the quality and quantity of training and other input data, "garbage in, garbage out" ("GIGO") and inversely "quality in, quality out" ("QIQU").
Biological Intelligence or BI
Intelligence presumed to be of biological origin (https://psychologydictionary.org/biological-intelligence/). It was first described by US psychologist Ward Flalstead (1908-1969) and is not AI.BI refers to the level of mental ability determined by forebrain functioning, influenced by the environment.
BI engages all the conscious and unconscious knowledge of a human being, stretching from genetics to culture to society and psychology (www.psychologytoday.com/us/blog/the-power-rest/201705/biological-intelligence?msockid=0196482ca03b63d310f85c0fa13a6206).
Most BI is quiet and unconscious. The conscious mind contains all the thoughts, feelings, cognitions, and memories that we acknowledge. In contrast, the unconscious consists of deeper mental processes not readily available to the conscious mind, e.g. body development, judgments, decision-making, intuition, motivation, and interpersonal attraction (www.psychologytoday.com/us/basics/unconscious).
Bioartificial Intelligence® or bioAI®
Trademark-protected in the US as the AI subset that specifically uses biomedical, biomechanical, bioindustrial, and other biological data for training and other input (https://lnkd.in/gFrCYj5k).Examples include nucleotide, peptide, protein, enzyme, antibody, lipid, and other biomolecule sequences; virtual cell model data; immunization, in vitro, and in vivo protocols; physiological, imaging, surgery, and other medical data; data from medical devices; bioindustrial operations data; etc.
Inquire with bl@abvivo.com for possibilities regarding Bioartificial Intelligence® and bioAI®.