HIGH PERFORMANCE COMPUTATION USING MICROORGANISMS

• Main Authors: GARDIN, Francesco, PIZZI, Rita
• Format: Patent
• Language: English; French; German
• Published: 20.12.2023
• Subjects: BEER; BIOCHEMISTRY; CALCULATING; CHEMISTRY; COMPOSITIONS OR TEST PAPERS THEREFOR; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL ORENZYMOLOGICAL PROCESSES; COUNTING; ENZYMOLOGY; MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEICACIDS OR MICROORGANISMS; METALLURGY; MICROBIOLOGY; MUTATION OR GENETIC ENGINEERING; PHYSICS; PROCESSES OF PREPARING SUCH COMPOSITIONS; PROCESSES USING MICROORGANISMS; SPIRITS; VINEGAR; WINE

A hybrid digital-biological computational system comprises a live microorganism colony 11 and a receptacle (e.g. Petri dish 10) in which the microorganisms can be stimulated to react or to modify their physiology or behaviour. The microorganisms' reaction or changes in physiology or behaviour are tracked, and a processor 20 makes machine learning calculations based on or coupled with the microorganisms' reaction or their physiological or behavioural changes. The microorganisms may be bacteria, cyanobacteria, single cell flagellates (such as Euglena), viruses, archaea, protists, or unicellular fungi. The stimulus may be light 15 of varying intensity, wavelength, pattern, or duration delivered by a display screen 14. A microscope, camera 25, or image processing software 26 may track the microorganisms' reaction or modification. Also disclosed is a method comprising stimulating a colony of live microorganisms with a stimulus pattern derived from input data 22, or by allowing external stimulation. The microorganisms' reaction or modification in response to the stimulation is monitored, and output data 28 is derived from the reaction or modification. The method may involve particle swarm optimisation. There may be a training phase during which the output data is used to adjust the stimulation pattern to improve the output data's accuracy.