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Two protons next to each other in an atomic nucleus are repelling each other electromagnetically with enough force to lift a medium-sized labradoodle off the ground. Release this energy and you have, well, you have a nuclear explosion. Just as well there’s an even stronger force than the electromagnetism holding our nuclei together. But it’s not the strong force, as you might have imagined. At least not directly. Nuclei are held together by a quirk of nature, without which we would have no complex atoms, no chemistry, and certainly no labradoodles.

Continue reading “How Does The Nucleus Hold Together?” | >

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Continue reading “The Attribute of Light Science Still Can’t Explain” | >

Previously, researchers have used implants surgically placed in the brain or bulky, expensive machines to translate brain activity into text. The new approach, presented at this week’s NeurIPS conference by researchers from the University of Technology Sydney, is impressive for its use of a non-invasive EEG cap and the potential to generalize beyond one or two people.

The team built an AI model called DeWave that’s trained on brain activity and language and linked it up to a large language model—the technology behind ChatGPT—to help convert brain activity into words. In a preprint posted on arXiv, the model beat previous top marks for EEG thought-to-text translation with an accuracy of roughly 40 percent. Chin-Teng Lin, corresponding author on the paper, told MSN they’ve more recently upped the accuracy to 60 percent. The results are still being peer-reviewed.

Though there’s a long way to go in terms of reliability, it shows progress in non-invasive methods of reading and translating thoughts into language. The team believes their work could give voice to those who can no longer communicate due to injury or disease or be used to direct machines, like walking robots or robotic arms, with thoughts alone.

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Skyline Robotics is disrupting the century-old practice of window washing with new technology that the startup hopes will redefine a risky industry.

Its window-washing robot, Ozmo, is now operational in Tel Aviv and New York, and has worked on major Manhattan buildings such as 10 Hudson Yards, 383 Madison, 825 3rd Avenue and 7 World Trade Center in partnership with the city’s largest commercial window cleaner Platinum and real estate giant The Durst Organization.

The machine is suspended from the side of a high-rise. A robotic arm with a brush attached to the end cleans the window following instructions from a LiDAR camera, which uses laser technology to map 3D environments. The camera maps the building’s exterior and identifies the parameters of the windows.

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There’s a new kind of leadership taking hold in organizations. Strikingly, these new leaders don’t like to be called leaders, and none has any expectation that they will attract “followers” personally — by dint of their charisma, status in a hierarchy, or access to resources. Instead, their method is to get others excited about whatever problem they have identified as ripe for a novel solution. Having fallen in love with a problem, they step up to leadership — but only reluctantly and only as necessary to get it solved. Leadership becomes an intermittent activity as people with enthusiasm and expertise step up as needed, and readily step aside when, based on the needs of the project, another team member’s strengths are more central. Rather than being pure generalists, leaders pursue their own deep expertise, while gaining enough familiarity with other knowledge realms to make the necessary connections. They expect to be involved in a series of initiatives with contributors fluidly assembling and disassembling.

Page-utils class= article-utils—vertical hide-for-print data-js-target= page-utils data-id= tag: blogs.harvardbusiness.org, 2007/03/31:999.199848 data-title= The Power of Leaders Who Focus on Solving Problems data-url=/2018/04/the-power-of-leaders-who-focus-on-solving-problems data-topic= Leadership styles data-authors= Deborah Ancona; Hal Gregersen data-content-type= Digital Article data-content-image=/resources/images/article_assets/2018/04/apr18_16_840591218-383x215.jpg data-summary=

Can you get people excited about the problems that excite you?

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Summary: Researchers identify a crucial protein, Tenm3, in mice’s visual system that stabilizes circadian rhythms by modulating the brain’s response to light. This discovery has significant implications for treating sleep disorders and jet lag.

Circadian rhythms play a vital role in regulating sleep, alertness, and other cyclic behaviors, and disruptions can lead to health problems.

By understanding Tenm3’s role, researchers aim to develop interventions for sleep disorders and jet lag, ultimately benefiting human health.

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When the theoretical physicist Leonard Susskind encountered a head-scratching paradox about black holes, he turned to an unexpected place: computer science. In nature, most self-contained systems eventually reach thermodynamic equilibrium… but not black holes. The interior volume of a black hole appears to forever expand without limit. But why? Susskind had a suspicion that a concept called computational complexity, which underpins everything from cryptography to quantum computing to the blockchain and AI, might provide an explanation.

He and his colleagues believe that the complexity of quantum entanglement continues to evolve inside a black hole long past the point of what’s called “heat death.” Now Susskind and his collaborator, Adam Brown, have used this insight to propose a new law of physics: the second law of quantum complexity, a quantum analogue of the second law of thermodynamics.

Also appearing in the video: Xie Chen of CalTech, Adam Bouland of Stanford and Umesh Vazirani of UC Berkeley.

00:00 Intro to a second law of quantum complexity.

Continue reading “Can a New Law of Physics Explain a Black Hole Paradox?” | >

JAC Motors, a Volkswagen-backed Chinese automaker, is set to launch the first mass-produced electric vehicle (EV) with a sodium-ion battery through its new Yiwei brand. Although sodium-ion battery tech has a lower density (and is less mature) than lithium-ion, its lower costs, more abundant supplies and superior cold-weather performance could help accelerate mass EV adoption. CarNewsChina reports that the JAC Yiwei EV hatchback deliveries will begin in January.

Yiwei is a new brand in 2023 for JAC. Volkswagen has a 75 percent stake in (and management control of) JAC and owns 50 percent of JAC’s parent company, Anhui Jianghuai Automobile Group Holdings (JAG). The Chinese government owns the other half of JAG, making for one of the auto industry’s stranger pairings.

The Yiwei EV appears to be a rebranded version of the Sehol E10X hatchback (above), announced earlier this year. CarNewsChina describes the Sehol model as having a 252 km (157 miles) range with a 25 kWh capacity, 120 Wh / kg energy density, 3C to 4C charging, and a HiNa NaCR32140 cell. When JAC revealed the Yiwei brand in May, it said it would drop the Sehol label and rebrand all its vehicles to either JAC or Yiwei, leading us to this week’s EV reveal. JAC hasn’t yet said whether the Yiwei-branded model will keep the E10X moniker.

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Neutron-star cores contain matter at the highest densities reached in our present-day universe, with as much as two solar masses of matter compressed inside a sphere of 25 km in diameter. These astrophysical objects can indeed be thought of as giant atomic nuclei, with gravity compressing their cores to densities exceeding those of individual protons and neutrons many-fold.

These densities make neutron stars interesting from the point of view of particle and . A longstanding open problem is whether the immense central pressure of neutron stars can compress protons and neutrons into a new phase of , known as cold quark matter. In this exotic state of matter, individual protons and neutrons no longer exist.

“Their constituent quarks and gluons are instead liberated from their typical color confinement and are allowed to move almost freely,” explains Aleksi Vuorinen, professor of theoretical particle physics at the University of Helsinki.

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