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Maker education is an offshoot of the maker movement, which Time magazine described as "the umbrella term for independent innovators, designers and tinkerers. A convergence of computer hackers and traditional artisans, the niche is established enough to have its own magazine, Make, as well as hands-on Maker Faires that are catnip for DIYers who used to toil in solitude". [3]
The Victoria Makerspace is a biology community lab, founded by Derek Jacoby and Thomas Gray in 2010, [1] and was one of the first do-it-yourself biology labs, following the establishment of BioCurious and Genspace in the US. [2]
A makerspace in the College of San Mateo library. A library makerspace, also named Hackerspace or Hacklab, is an area and/or service that offers library patrons an opportunity to create intellectual and physical materials using resources such as computers, 3-D printers, audio and video capture and editing tools, and traditional arts and crafts supplies.
Bio-inspired computing, short for biologically inspired computing, is a field of study which seeks to solve computer science problems using models of biology. It relates to connectionism, social behavior, and emergence. Within computer science, bio-inspired computing
A person working on a circuit board at a Re:publica makerspace. The maker culture is a contemporary subculture representing a technology-based extension of DIY culture [1] that intersects with hardware-oriented parts of hacker culture and revels in the creation of new devices as well as tinkering with existing ones.
A German hackerspace (RaumZeitLabor). A hackerspace (also referred to as a hacklab, hackspace, or makerspace) is a community-operated, often "not for profit" (501(c)(3) in the United States), workspace where people with common interests, such as computers, machining, technology, science, digital art, or electronic art, can meet, socialize, and collaborate. [1]
A biological network is a method of representing systems as complex sets of binary interactions or relations between various biological entities. [1] In general, networks or graphs are used to capture relationships between entities or objects. [1]
Parallel biological computing with networks, where bio-agent movement corresponds to arithmetical addition was demonstrated in 2016 on a SUBSET SUM instance with 8 candidate solutions. [ 6 ] In July 2017, separate experiments with E. Coli published on Nature showed the potential of using living cells for computing tasks and storing information.