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Researchers using the new FLSHclust algorithm discovered 188 unique CRISPR-linked gene modules, including a novel type VII CRISPR-Cas system, in a massive protein database. This breakthrough enhances our understanding of CRISPR systems and their potential in biotechnological innovations.

Researchers have developed a new algorithm, FLSHclust (“flash clust”), leading to the discovery of 188 rare and previously unknown CRISPR-linked gene modules. This includes a novel type VII CRISPR-Cas system found among billions of protein sequences. The findings of this approach offer new possibilities for exploiting CRISPR systems and exploring the vast diversity of microbial proteins.

CRISPR’s Growing Impact in Biotechnology.

Geoffrey Miller is a professor of evolutionary psychology at the University of New Mexico, a researcher and an author.

Artificial Intelligence possesses the capability to process information thousands of times faster than humans. It’s opened up massive possibilities. But it’s also opened up huge debate about the safety of creating a machine which is more intelligent and powerful than we are. Just how legitimate are the concerns about the future of AI?

In a new study published in Optica, researchers at the University of Colorado Boulder have used doughnut-shaped beams of light to take detailed images of objects too tiny to view with traditional microscopes.

The new technique could help scientists improve the inner workings of a range of “nanoelectronics,” including the miniature semiconductors in computer chips. The discovery was also highlighted in a special issue of Optics & Photonics News.

The research is the latest advance in the field of ptychography, a difficult-to-pronounce (the “p” is silent) but powerful technique for viewing very small things. Unlike traditional microscopes, ptychography tools don’t directly view small objects. Instead, they shine lasers at a target and then measure how the light scatters away—a bit like the microscopic equivalent of making shadow puppets on a wall.

This is the concept behind mind uploading – the idea that we may one day be able to transition a person from their biological body to a synthetic hardware. The idea originated in an intellectual movement called transhumanism and has several key advocates including computer scientist Ray Kurzweil, philosopher Nick Bostrom and neuroscientist Randal Koene.

The transhumanists’ central hope is to transcend the human condition through scientific and technological progress. They believe mind uploading may allow us to live as long as we want (but not necessarily forever). It might even let us improve ourselves, such as by having simulated brains that run faster and more efficiently than biological ones. It’s a techno-optimist’s dream for the future. But does it have any substance?

The feasibility of mind uploading rests on three core assumptions.