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For instance, the pegRNA molecules used in prime editing are difficult and expensive to chemically synthesise or laborious to clone, which hampers the crucial optimisation of prime-editing efficiency. Additionally, the reverse transcriptase (RT) enzymes used in prime editing are relatively error-prone and have low processivity, which may limit the precision and size of edits that can be introduced. Furthermore, RTs have a low affinity for dNTPs, which can impact prime-editing efficiency in non-dividing and differentiated cells.

To address these issues, two research groups led by Dr. Ben Kleinstiver at Mass General Hospital (MGH) & Harvard Medical School, and Dr. Erik Sontheimer at the RNA Therapeutics Institute (UMass Chan Medical School) have independently developed new approaches that build upon prime editing by replacing RT with another type of enzyme, namely a DNA-dependent DNA polymerase. This change permits the use of DNA instead of RNA as a template for editing, potentially addressing some of the main limitations of prime editing by allowing higher efficiency and adaptability.

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Interesting read. Are they spying on the West Coast or just running experiments? That’s a good space plane at the very least. 3 launches in 3 years.

Earlier this week, China’s top-secret spaceplane, dubbed Shenlong released six mysterious objects after reaching the Earth’s orbit for the third time in three years.

We can only hazard a guess as to what these objects — which are being tracked by the US Space Force and designated the names OBJECT A through F by the US Department of Defense — are, or what their purpose is.

Amateur astronomer and satellite tracker Scott Tilley has been closely tracking the objects, examining the signals they’ve been emitting.

Continue reading “Chinese Spacecraft Emitting Strong Signal Over North America” | >

Greener data processing requires systems that work smarter, faster, and are more energy efficient. Researchers from the Norwegian University of Science and Technology (NTNU) have developed a tiny piece of super-smart hardware that enables all of the above.

Anyone who knows anything about running knows that they take time, and everyone wants the program they are running to work as quickly as possible.

A new, tiny piece of hardware designed by can be integrated into processors, which are the computer’s brains, making it easier for developers to write programs that run faster and more efficiently.

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A research team led by Prof. Sun Zhong at Peking University has reported an analog hardware solution for real-time compressed sensing recovery. It has been published as an article titled, “In-memory analog solution of compressed sensing recovery in one step” in Science Advances.

In this work, a design based on a resistive memory (also known as memristor) array for performing instantaneous matrix-matrix-vector multiplication (MMVM) is introduced. Based on this module, an analog matrix computing circuit that solves compressed sensing (CS) in one step (within a few microseconds) is disclosed.

CS has been the cornerstone of modern signal and , across many important fields such as , wireless communications, object tracking, and single-pixel cameras. In CS, sparse signals can be highly undersampled in the front-end sensor, which breaks through the Nyquist rate and thus significantly improving sampling efficiency.

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At the annual IBM Quantum Summit in New York, IBM debuted IBM Quantum Heron, the first in a new series of utility-scale quantum processors with an architecture engineered over the past four years to deliver IBM’s highest performance metrics and lowest error rates of any IBM Quantum processor to date.

IBM also unveiled IBM Quantum System Two, the company’s first modular quantum computer and cornerstone of IBM’s quantum-centric supercomputing architecture. The first IBM Quantum System Two, located in Yorktown Heights, New York, has begun operations with three IBM Heron processors and supporting control electronics.

With this critical foundation now in place, along with other breakthroughs in quantum hardware, theory, and software, the company is extending its IBM Quantum Development Roadmap to 2033 with new targets to significantly advance the quality of gate operations. Doing so would increase the size of quantum circuits able to be run and help to realize the full potential of quantum computing at scale.

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The new Galileo satellite model from Thales Alenia Space underwent mechanical and signal performance testing this summer at ESA’s ESTEC Test Center. Structural models resisted launch-like noise and vibrations while an electrical model proved its ability to send Galileo signals—a major milestone in the development of Galileo’s Second Generation.

Europe’s Galileo is the world’s most precise navigation system, providing meter-level accuracy to more than 4 billion users worldwide. It currently comprises 28 satellites in orbit and 10 more are due to be launched, after which a new generation of satellites, the Galileo Second Generation or G2, will revolutionize the fleet with enhanced capabilities.

“G2 satellites will be much larger than those of the First Generation, use , host a more powerful navigation antenna, carry more and even better atomic clocks on board and have fully digital payloads,” explains ESA’s Galileo Second Generation Project Manager Miguel Manteiga Bautista. “The modular architecture will offer a high degree of flexibility to accommodate more equipment and inter-satellite links will be enabled,” he adds.

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