Showing posts with the label memristor

Genetically Modified E. coli Bacteria Play Tic-Tac-Toe Better Than Unskilled Humans, Shows A Spanish Study

Researchers at the Spanish National Research Council (SNRC) in Madrid have announced that they had genetically modified a strain of Escherichia coli (E. coli) bacteria and taught it how to play the game of tic-tac-toe. Image Credits: Pixabay The research was started in 2019 when another research group genetically engineered a strain of E. coli bacteria that could sense 12 different chemicals and responded by changing the activity of specific genes. But, the research team at SNRC took this work and applied other modifications. They combined several copies of two circular pieces of DNA called plasmids. Each plasmid encodes a separate fluorescent protein. One is green, and the other is red. The ratio of these two plasmids was constant in bacteria, and hence, their final colour is not predetermined, though it can be affected by different chemicals and antibiotics. Also, the ratio remains constant when no modification is done. Thus, the composition of DNA remains unchanged and stores the

Memristor, a New Discovery Responsible for the Collision of Artificial Intelligence and Quantum Technology

Credits: Artificial intelligence has grown rapidly in recent years, with applications including speech recognition, image identification, medical diagnosis, and many others. Quantum technology, on the other hand, has been shown to be capable of computational power much beyond that of even the world's most powerful supercomputer. Physicists at the University of Vienna have now created a novel technology known as a quantum memristor that might allow these two worlds to collide, unlocking previously unimaginable capabilities. The experiment was carried out in partnership with the Italian National Research Council (CNR) and Politecnico di Milano on an integrated quantum processor that operates on single photons. The research was just published in the journal Nature Photonics . Neural networks are mathematical models that are at the heart of all artificial intelligence applications. The biological structure of the human brain, which is made up of linked nodes, inspire

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