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May 2, 2024

Probing matter–antimatter asymmetry with AI

Posted by in categories: cosmology, information science, particle physics, robotics/AI

The open CMS detector during the second long shutdown of CERN’s accelerator complex. (Image: CERN) When we look at ourselves in a mirror, we see a virtual twin, identical in every detail except with left and right inverted. In particle physics, a transformation in which charge–parity (CP) symmetry is respected swaps a particle with the mirror image of its antimatter particle, which has opposite properties such as electric charge. The physical laws that govern nature don’t respect CP symmetry, however. If they did, the Universe would contain equal amounts of matter and antimatter, as it is believed to have done just after the Big Bang. To explain the large imbalance between matter and antimatter seen in the present-day Universe, CP symmetry has to be violated to a great extent. The Standard Model of particle physics can account for some CP violation, but it is not sufficient to explain the present-day matter–antimatter imbalance, prompting researchers to explore CP violation in all its known and unknown manifestations. One way CP violation can manifest itself is in the “mixing” of electrically neutral mesons such as the strange beauty meson, which is composed of a strange quark and a bottom antiquark. These mesons can travel macroscopic distances in the Large Hadron Collider (LHC) detectors before decaying into lighter particles, and during this journey they can turn into their corresponding antimesons and back. This phenomenon, called meson mixing, could be different for a meson turning into an antimeson versus an antimeson turning into a meson, generating CP violation. To see if that’s the case, researchers need to count how many mesons or antimesons survive a certain duration before decaying, and then repeat the measurement for a given range of durations. To do so, they have to separate mesons from antimesons, a task called flavour tagging. This task is crucial to pinning down CP violation in meson mixing and in the interference between meson mixing and decay. At a seminar held recently at CERN, the CMS collaboration at the LHC reported the first evidence of CP violation in the decay of the strange beauty meson into a pair of muons and a pair of electrically charged kaons. By deploying a new flavour-tagging algorithm on a sample of about 500 000 decays of the strange beauty meson into a pair of muons and a pair of charged kaons, collected during Run 2 of the LHC, the CMS collaboration measured with improved precision the parameter that determines CP violation in the interference between this meson’s mixing and decay. If this parameter is zero, CP symmetry is respected. The new flavour-tagging algorithm is based on a cutting-edge artificial intelligence (AI) technique called a graph neural network, which performs accurate flavour tagging by gathering information from the particles surrounding the strange beauty meson and those being produced alongside it. The collaboration then combined the result with its previous measurement of the parameter based on data from Run 1 of the LHC. The combined result is different from zero and is consistent with the Standard Model prediction and with previous measurements from CMS and the ATLAS and LHCb experiments. Notably, the combined result is comparable in precision to the world’s most precise measurement of the parameter, obtained by LHCb, a detector specifically designed to perform measurements of this kind. Moreover, the result has a statistical significance that crosses the conventional “3 sigma” threshold, providing the first evidence of CP violation in the decay of the strange beauty meson into a pair of muons and a pair of charged kaons. The result marks a milestone in CMS’s studies of CP violation. Thanks to AI, CMS has pushed the boundary of what its detector can achieve in the exploration of this fundamental matter–antimatter asymmetry. Find out more on the CMS website.

May 2, 2024

More than 100,000 students try to sue universities over disruption to their studies

Posted by in categories: biotech/medical, education

THE END OF ACADEMIA?


The pandemic and industrial action has caused massive upheaval in the education system in recent years, and many students feel short-changed.

May 2, 2024

Lou Reed’s Widow Resurrected Him as an AI, “Sadly Addicted” to Talking to It

Posted by in category: robotics/AI

Since before ChatGPT was even a thing, Laurie Anderson, the widow and longtime collaborator of the late Lou Reed, has been talking to an AI chatbot modeled after her late partner — and now, she’s hooked.

In a new interview with The Guardian, the 76-year-old experimental artist who just won a “Lifetime Achievement” award at this year’s Grammys acknowledged the outrageousness of her regular conversations with an AI built to mimic her superstar husband that died a decade ago.

Continue reading “Lou Reed’s Widow Resurrected Him as an AI, ‘Sadly Addicted’ to Talking to It” »

May 2, 2024

The extraordinary promise of personalised cancer vaccines

Posted by in categories: biotech/medical, neuroscience

Glioblastomas are an extremely aggressive type of brain tumour, which is why the news this week of a vaccine that has shown promise in fighting them is so exciting. And this comes right off the back of the announcement of another trial of the world’s first personalised mRNA vaccine for melanoma, a kind of skin cancer. Ian Sample talks to Prof Alan Melcher of the Institute of Cancer Research about how these vaccines work and whether they could one day be used to target cancer before it is even detectable on scans.

How to listen to podcasts: everything you need to know.

May 1, 2024

A gut bacteria could hold the key to universal blood, revolutionizing transfusion medicine

Posted by in category: biotech/medical

Study found that exoglycosidases from Akkermansia muciniphila effectively target blood group antigens, potentially converting A and B blood types to ABO-universal blood.

May 1, 2024

AI for control rooms

Posted by in categories: particle physics, robotics/AI

Scientists inside and outside of particle physics and astrophysics are leaning on AI for assistance with complex tasks.

May 1, 2024

Neuroscience Says Rituals Rewire Your Brain to Better Face Failure

Posted by in category: neuroscience

Inside an ancient behavior that is helping tackle modern problems.

May 1, 2024

Researchers create new chemical compound to solve 120-year-old problem

Posted by in categories: biotech/medical, chemistry, food

For the first time, chemists in the University of Minnesota Twin Cities College of Science and Engineering have created a highly reactive chemical compound that has eluded scientists for more than 120 years. The discovery could lead to new drug treatments, safer agricultural products, and better electronics. The study is published in Science.

May 1, 2024

New research reveals terahertz waves’ impact on dynamics of nanoconfined water molecules

Posted by in category: nanotechnology

In a new discovery, researchers have revealed novel insights into the behavior of water molecules confined within nanostructures. Their study, published in Science Advances on April 24, delves into how terahertz (THz) waves influence the dynamics of water molecules confined in two-dimensional (2D) spaces within nanoresonators.

May 1, 2024

It may be time to eliminate the best-before date on food packaging, say smart packaging researchers

Posted by in categories: food, innovation

The inventors of a suite of tests that enable food packages to signal whether their contents are contaminated are working to bring producers and regulators together to get their inventions into commercial products, with the goal of preventing illness and reducing food waste.

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