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Blog – Page 2103

Big discovery on the patterns of evolution and how it’ll change medicine and even potentially climate change and synthetic biology.

The experts meticulously analyzed the pangenome — a complete set of genes within a species. By deploying a machine learning technique known as Random Forest, and processing data from 2,500 complete genomes of a single bacterial species, the team embarked on a journey to unravel the mysteries of evolutionary predictability.

“The implications of this research are nothing short of revolutionary,” said Professor McInerney, the lead author of the study.

“By demonstrating that evolution is not as random as we once thought, we’ve opened the door to an array of possibilities in synthetic biology, medicine, and environmental science.”

Continue reading “Paradigm shift: Evolution is not as random as we thought” | >

New #openaccess article online: A diamond #Nanophotonic interface with an optically accessible deterministic electronuclear spin register.

By implanting 117Sn, a fibre-packaged nanophotonic diamond waveguide with optically addressable hyperfine transitions separated by 452 MHz is demonstrated. This enables the formation of a spin-gated optical switch and achieving a waveguide-to-fibre extraction efficiency of 57%.

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A new study shows how quantum computing can be harnessed to discover new properties of polymer systems central to biology and material science.

The advent of quantum computing is opening previously unimaginable perspectives for solving problems deemed beyond the reach of conventional computers, from cryptography and pharmacology to the physical and chemical properties of molecules and materials. However, the computational capabilities of present-day quantum computers are still relatively limited. A newly published study in Science Advances fosters an unexpected alliance between the methods used in quantum and traditional computing.

The research team, formed by Cristian Micheletti and Francesco Slongo of SISSA in Trieste, Philipp Hauke of the University of Trento, and Pietro Faccioli of the University of Milano-Bicocca, used a mathematical approach called QUBO (from “Quadratic Unconstraint Binary Optimization”) that is ideally suited for specific quantum computers, called “quantum annealers.”

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Students at Ferris State University in Michigan will soon be sharing the classroom with AI-powered freshman “students” who will enroll in classes alongside them, MLive reports.

And no, they won’t have humanoid robot bodies — they’ll be interacting with students via computers, microphones, and speakers.

In an experiment led by associate professor Kasey Thompson, AI students dubbed Ann and Fry will be listening — or scanning through? — lectures, work on assignments, and even actively participate in discussions with other students, per the report.

Continue reading “University Enrolling AI-Powered “Students” Who Will Turn in Assignments, Participate in Class Discussions” | >

Soft robots, medical devices, and wearable devices have permeated our daily lives. KAIST (Korea Advanced Institute of Science and Technology) researchers have developed a fluid switch using ionic polymer artificial muscles that operates at ultra-low power and produces a force 34 times greater than its weight. Fluid switches control fluid flow, causing the fluid to flow in a specific direction to invoke various movements.

KAIST announced on the 4th of January that a research team under Professor IlKwon Oh from the Department of Mechanical Engineering has developed a soft fluidic switch that operates at ultra-low voltage and can be used in narrow spaces.

The results have been published in Science Advances (“Polysulfonated Covalent Organic Framework as Active Electrode Host for Mobile Cation Guests in Electrochemical Soft Actuator”).

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