Lifeboat Foundation

Humans and other animals with brains perhaps aren’t the only beings on the planet to experience consciousness, says a study in the journal EMBO Reports.

Consciousness instead underpins all life forms, from the smallest cells to the most complex organisms. Far from being limited to creatures like ourselves, the cell-based theory of consciousness frames the phenomenon a fundamental part of life itself.

Conventional thinking about consciousness—called the standard model of consciousness—focuses on the brain, supposing only complex organisms like humans and animals have it. But the new cell-based theory argues that consciousness started with the very first cells that emerged about 3.8 billion years ago and plants, bacteria and even amoebas have it.

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.

An exploration of ten possible ways the universe could come to an end. My Patreon Page: https://www.patreon.com/johnmichaelgodierMy Event Horizon Channel: http…

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.

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

Iron nitride (Fe4N) is detected on magnetite particles within the Ryugu sample returned by Hayabusa2. It is probably the product of impacts of nitrogen-rich dust from the outer Solar System on the surface of Ryugu, indicative of a flux of N-rich dust in the inner Solar System.

Signal processing is key to communications and video image processing for astronomy, medical diagnosis, autonomous driving, big data and AI. Menxi Tan and colleagues report a photonic processor operating at 17Tb/s for ultrafast robotic vision and machine learning.

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 computer programs 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 computer scientists 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.

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) recovery in one step (within a few microseconds) is disclosed.

CS has been the cornerstone of modern signal and image processing, across many important fields such as medical imaging, 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.