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May 10, 2024
New AI generates CRISPR proteins unlike any seen in nature
Posted by Kelvin Dafiaghor in categories: bioengineering, biotech/medical, robotics/AI
Each CRISPR system has two parts: a strand of RNA that matches the target and a protein that makes the edit. The most commonly used protein for gene editing is called “Cas9,” but scientists have discovered CRISPRs with other proteins that give them unique capabilities — while CRISPR-Cas9 slices through DNA, for example, CRISPR-Cas13 targets RNA.
Our current CRISPR gene editors are far from perfect, though. They can make edits in the wrong places or edit too few cells to make a difference, so researchers are constantly on the hunt for new CRISPR systems.
AI-designed CRISPR: Up until now, that hunt has been limited to the CRISPRs that have been discovered in nature, but Profluent has used the same types of AI models that allow ChatGPT to generate language to develop an AI platform that can generate millions of CRISPR-like proteins.
May 9, 2024
Sylvester Researchers Develop Nanoparticles to Tackle Brain Metastases
Posted by The Neuro-Network in categories: biotech/medical, nanotechnology, neuroscience
Tumors that move to the brain are difficult to treat because of the brain-blood barrier that separates the brain from the rest of the body.
Sylvester Comprehensive Cancer Center researchers have developed a nanoparticle that could one day be used to treat brain metastases.
May 9, 2024
Ten years of neuroscience at Google yields maps of human brain
Posted by Cecile G. Tamura in categories: computing, mapping, neuroscience
Reconstruction of 1 mm3 of human brain (at 1.4 petabytes of EM data) published by @stardazed0 (@GoogleAI) & Lichtman lab.
Paper: https://science.org/doi/10.1126/science.adk4858
Blog:
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May 9, 2024
See the most detailed map of human brain matter ever created
Posted by Quinn Sena in category: neuroscience
May 9, 2024
Deepmind CEO Demis Hassabis says AI agents for complex tasks coming in 1–2 years
Posted by Dan Kummer in categories: futurism, robotics/AI
Demis Hassabis, the CEO of Google Deepmind, expects AI systems in the near future to not only answer questions but also plan and act independently.
In an interview with Bloomberg, Hassabis says his company is working on such “agent-like” systems that could be ready for use in one to two years.
“I’m really excited about the next stage of these large general models. You know, I think the next things we’re going to see perhaps this year, maybe next year, is more agent like behavior,” says Hassabis.
Sunspot as large as the Carrington Event sunspot from from 1,859 prompts NOAA Storm alert — first time since 2005 that a G4 Severe Geomagnetic storm alert has been issued. This sunspot is capable of even worse. Watch to learn more.
May 9, 2024
‘Superfluid spacetime’ points to unification of physics
Posted by Quinn Sena in categories: computing, cosmology, particle physics, quantum physics
Since superfluid light exists in computers I think frankly we may already solve the theory of everything because the missing piece is infinity in all things which solves all future problems.
Thinking of spacetime as a liquid may be a helpful analogy. We often picture space and time as fundamental backdrops to the universe. But what if they are not fundamental, and built instead of smaller ingredients that exist on a deeper layer of reality that we cannot sense? If that were the case, spacetime’s properties would “emerge” from the underlying physics of its constituents, just as water’s properties emerge from the particles that comprise it. “Water is made of discrete, individual molecules, which interact with each other according to the laws of quantum mechanics, but liquid water appears continuous and flowing and transparent and refracting,” explains Ted Jacobson, a physicist at the University of Maryland, College Park. “These are all ‘emergent’ properties that cannot be found in the individual molecules, even though they ultimately derive from the properties of those molecules.”
Physicists have been considering this possibility since the 1990s in an attempt to reconcile the dominant theory of gravity on a large scale — general relativity — with the theory governing the very smallest bits of the universe—quantum mechanics. Both theories appear to work perfectly within their respective domains, but conflict with one another in situations that combine the large and small, such as black holes (extremely large mass, extremely small volume). Many physicists have tried to solve the problem by ‘quantizing’ gravity — dividing it into smaller bits, just as quantum mechanics breaks down many quantities, such as particles’ energy levels, into discrete packets. “There are many attempts to quantize gravity—string theory and loop quantum gravity are alternative approaches that can both claim to have gone a good leg forward,” says Stefano Liberati, a physicist at the International School for Advanced Studies (SISSA) in Trieste, Italy.
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May 9, 2024
Sierra Space: Inflatable Habitats and the Future of Commercial Space Stations
Posted by Genevieve Klien in categories: habitats, space travel
In the rapidly evolving landscape of space exploration, private companies are increasingly taking the lead. One company at the forefront of this commercial space revolution is Sierra Space. With its innovative inflatable habitat modules and ambitious plans, Sierra Space is poised to play a pivotal role in building the next generation of space stations and lunar habitats.
May 9, 2024
Microscopic Brain Tissue Map Reveals Vast Neural Networks
Posted by Genevieve Klien in categories: biotech/medical, information science, robotics/AI
Summary: Researchers created the largest 3D reconstruction of human brain tissue at synaptic resolution, capturing detailed images of a cubic millimeter of human temporal cortex. This tiny piece of brain contains 57,000 cells, 230 millimeters of blood vessels, and 150 million synapses, which amounts to 1,400 terabytes of data.
This research is part of a broader effort to map an entire mouse brain’s neural wiring, with hopes of advancing our understanding of brain function and disease. The technology combines high-resolution electron microscopy and AI-powered algorithms to meticulously color-code and map out the complex neural connections.