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Nov 13, 2024

Scientists Uncover New Insights on the Higgs Boson!

Posted by in categories: futurism, particle physics

The Higgs boson is often referred to as the “God particle” due to its crucial role in our understanding of the mass of elementary particles. Discovered in 2012, it remains at the forefront of many research endeavors in physics. Recently, researchers at the Max Planck Institute have made significant advances in measuring its interactions with other particles, opening up thrilling new possibilities for the future of science.

In the Standard Model of particle physics, the Higgs boson plays a key role in giving mass to particles. To fully grasp how this occurs, it’s important to revisit the concepts of the Higgs field and mechanism.

Think of the Higgs field as a sort of invisible network or mud that fills the entire universe. This field, teeming with Higgs bosons, is present everywhere, even in a vacuum. When a particle moves through this field, it interacts with it. The Higgs mechanism essentially explains how this interaction with the field endows particles with mass.

Nov 13, 2024

A formula for life? New model calculates chances of intelligent beings in our universe and beyond

Posted by in category: alien life

The approach presented in the paper involves calculating the fraction of ordinary matter converted into stars over the entire history of the universe, for different dark energy densities.

The model predicts this fraction would be approximately 27% in a universe that is most efficient at forming stars, compared to 23% in our own universe.

This means we don’t live in the hypothetical universe with the highest odds of forming intelligent life forms. Or in other words, the value of dark energy density we observe in our universe is not the one that would maximize the chances of life, according to the model.

Nov 13, 2024

Multicellular adaptation to electrophysiological perturbations analyzed by deterministic and stochastic bioelectrical models

Posted by in category: futurism

The researchers used simulations to see how these cells might adapt over time.


Cervera, J., Levin, M. & Mafe, S. Multicellular adaptation to electrophysiological perturbations analyzed by deterministic and stochastic bioelectrical models. Sci Rep 14, 27,608 (2024). https://doi.org/10.1038/s41598-024-79087-7

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Continue reading “Multicellular adaptation to electrophysiological perturbations analyzed by deterministic and stochastic bioelectrical models” »

Nov 13, 2024

Faster flowing glaciers could help predict nearby volcanic activity

Posted by in category: futurism

Glaciers that are within three miles of a volcano move nearly 50% quicker than average, a new study has found, which could help create early warning of future eruptions.

Nov 13, 2024

Arnav Kapur

Posted by in categories: internet, robotics/AI

Arnav Kapur, a former MIT Media Lab researcher. He created a headset called AlterEgo that translates silent thoughts into words or internet searches.

- #google #internet #aiart #aidevice #robotics

Nov 13, 2024

Founder Focus

Posted by in category: robotics/AI

501 likes, — growasentrepreneurs on September 13, 2024: Nvidia’s Blackwell chip is an engineering marvel, crafted from two of the largest chips ever made using TSMC’s 4-nanometer process. It took $10 billion and 3 years to develop, supported by high-speed networking, software, and incredible I/O capabilities.

This chip powers AI factories in data centers, designed to emulate human intelligence—specifically how we read, finish sentences, and summarize information.

Jensen Huang compares it to the intelligence of thousands of people, showcasing Blackwell’s potential to revolutionize AI in an unprecedented way.

Nov 13, 2024

Robot learns to perform surgical tasks expertly just by watching videos

Posted by in categories: biotech/medical, robotics/AI

It takes years of intense study and a steady hand for humans to perform surgery, but robots might have an easier time picking it up with today’s AI technology.

Researchers at Johns Hopkins University (JHU) and Stanford University have taught a robot surgical system to perform a bunch of surgical tasks as capably as human doctors, simply by training it on videos of those procedures.

Continue reading “Robot learns to perform surgical tasks expertly just by watching videos” »

Nov 13, 2024

Baidu announces its own pair of AI smart glasses

Posted by in category: robotics/AI

Baidu has introduced a pair of smart glasses powered by its ERNIE AI assistant.

Nov 13, 2024

Accelerated muons bring next-gen particle colliders closer to reality

Posted by in categories: materials, particle physics

Now, scientists have not only cooled muons but also accelerated them in an experiment at the Japan Proton Accelerator Research Complex, or J-PARC, in Tokai. The muons reached a speed of about 4 percent the speed of light, or roughly 12,000 kilometers per second, researchers report October 15 at arXiv.org.

The scientists first sent the muons into an aerogel, a lightweight material that slowed the muons and created muonium, an atomlike combination of a positively charged muon and a negatively charged electron. Next, a laser stripped away the electrons, leaving behind cooled muons that electromagnetic fields then accelerated.

Muon colliders could generate higher energy collisions than machines that smash protons, which are themselves made up of smaller particles called quarks. Each proton’s energy is divvied up among its quarks, meaning only part of the energy goes into the collision. Muons have no smaller bits inside. And they’re preferable to electrons, which lose energy as they circle an accelerator. Muons aren’t as affected by that issue thanks to their larger mass.

Nov 13, 2024

Graph-based AI model finds hidden links between science and art to suggest novel materials

Posted by in categories: robotics/AI, science

Amazon is poised to roll out its newest artificial intelligence chips as the Big Tech group seeks returns on its multibillion-dollar semiconductor investments and to reduce its reliance on market leader Nvidia.

Executives at Amazon’s cloud computing division are spending big on custom chips in the hopes of boosting the efficiency inside its dozens of data centers, ultimately bringing down its own costs as well as those of Amazon Web Services’ customers.

The effort is spearheaded by Annapurna Labs, an Austin-based chip start-up that Amazon acquired in early 2015 for $350 million. Annapurna’s latest work is expected to be showcased next month when Amazon announces widespread availability of ‘Trainium 2,’ part of a line of AI chips aimed at training the largest models.

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