A solution to P vs NP could unlock countless computational problems—or keep them forever out of reach.
Intel Labs and the Perelman School of Medicine at the University of Pennsylvania (Penn Medicine) have completed a joint research study using federated learning – a distributed machine learning (ML) artificial intelligence (AI) approach – to help international healthcare and research institutions identify malignant brain tumours.
The largest medical federated learning study to date with an unprecedented global dataset examined from 71 institutions across six continents, the project demonstrated the ability to improve brain tumour detection by 33%.
“Federated learning has tremendous potential across numerous domains, particularly within healthcare, as shown by our research with Penn Medicine,” says Jason Martin, principal engineer at Intel Labs. “Its ability to protect sensitive information and data opens the door for future studies and collaboration, especially in cases where datasets would otherwise be inaccessible.
When it comes to physics experiments, quantum simulations aren’t quite the real thing – but in some cases they’re much closer than you’d expect.
Musicians, we have some bad news. AI-powered music generators are here — and it looks like they’re gunning for a strong position in the content-creation industry.
“From streamers to filmmakers to app builders,” claims music generating app Mubert AI, which can transform limited text inputs into a believable-sounding composition, “we’ve made it easier than ever for content creators of all kinds to license custom, high-quality, royalty-free music.”
Of course, computer-generated music has been around for quite some time, making use of various forms of artificial intelligence to come up with results that can sound equally manmade and alien.
IStock/ Volodymyr Horbovyy.
Not only did the research demonstrate that equipping E. coli bacteria with artificial components is possible, but the scientists could also precisely navigate the bots remotely using magnets.
ChatGPT is Shocking
Posted in internet, robotics/AI
You’ve probably heard of it by now: ChatGPT, a new AI powered chatbot has taken the Internet by storm. And it’s good. Scary good.
We asked it to make us a shopping list for a dinner party, write some recipes, and estimate the cost of the ingredients.
It did it.
I don’t think immortality is possible because everything has it’s end.with with proper research in medical science life expectancy can be increased.
The pursuit of immortality is getting older. So are we.
If humans are ever going to be able to regrow damaged tissues the way lizards and fish routinely do, it will require the precise control of gene expression in time and place—otherwise you might end up with random cells growing everywhere or a new body part that never quits growing. That is, stopping the process just as important as starting it.
A team of Duke scientists studying how other animals regrow damaged tissues has made an important step toward controlling at least one part of the regenerative machinery with that kind of precision. They used the mechanisms zebrafish rely on to repair damage to their hearts combined with viral vectors used for gene therapy in humans.
In a new paper appearing online Dec. 13 in Cell Stem Cell, the researchers demonstrate the ability to control gene activity in response to injury, limiting it to a specific region of tissue and during a defined time window, rather than being continuously active in the entire organ.
Researchers developed a machine learning model that can analyze chemical reactions as they happen in an electron microscope.
The findings shed a rare light on mitoribosomes, the unique ribosomes found within the cell’s mitochondria. Ribosomes, the tiny protein-producing factories within cells, are ubiquitous and look largely identical across the tree of life. Those that keep bacteria chugging along are, structurally, not much different from the ribosomes churning out proteins in our own human cells.
But even two organisms with similar ribosomes may display significant structural differences in the RNA and protein components of their mitoribosomes. Specialized ribosomes within the mitochondria (the energy producing entities within our cells), mitoribosomes help the mitochondria produce proteins that manufacture ATP, the energy currency of the cell.
Scientists in the laboratory of Sebastian Klinge wondered how mitoribosomes evolved, how they assemble within the cell, and why their structures are so much less uniform across species. To answer these questions, they used cryo-electron microscopy to generate 3D snapshots of the small subunits of yeast and human mitoribosomes as they were being assembled. Their findings, published in Nature, shed light on the fundamentals of mitoribosome assembly, and may have implications for rare diseases linked to malfunctioning mitoribosomes.