Lifeboat Foundation: Safeguarding Humanity
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Blog – Page 359

An optical lattice clock is a type of atomic clock that can be 100 times more accurate than cesium atomic clocks, the current standard for defining “seconds.” Its precision is equivalent to an error of approximately one second over 10 billion years. Owing to this exceptional accuracy, the optical lattice clock is considered a leading candidate for the next-generation “definition of the second.”

Professor Hidetoshi Katori from the Graduate School of Engineering at The University of Tokyo has achieved a milestone by developing the world’s first compact, robust, ultrahigh-precision optical clock with a device capacity of 250L.

As part of this development, the physics package for spectroscopic measurement of atomic clock transitions, along with the laser and control system used for trapping and spectroscopy of atoms, was miniaturized. This innovation reduced the device volume from the traditional 920 to 250 L, approximately one-quarter of the previous size.

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Tesla hasn’t unveiled its next generation human robot in the form of the app named GEN-3 Teslabot, bringing with it significant advancements in the field of humanoid robotics, merging state-of-the-art engineering with a design inspired by human anatomy. This next-generation robot demonstrates exceptional dexterity and precision, setting a new benchmark for what humanoid robots can accomplish. From catching a tennis ball mid-air to envisioning tasks like threading a needle, the Teslabot is poised to reshape how robots interact with and adapt to the world around them.

Wouldn’t it be great if robots didn’t just assemble cars or vacuum your living room but perform tasks requiring the finesse of human hands—threading a needle, playing a piano, or even catching a tennis ball mid-air. It sounds like science fiction, doesn’t it? Yet, Tesla’s latest innovation, the GEN-3 Teslabot, is bringing us closer to that reality. With its human-inspired design and new engineering, this robot is redefining what we thought machines could do.

But what makes the Teslabot so extraordinary? It’s not just the flashy demonstrations or its sleek design. It’s the way Tesla has managed to replicate human dexterity and precision in a machine, giving it the potential to tackle tasks we once thought only humans could handle. From its 22 degrees of freedom in the hand to its vision-driven precision, it’s a glimpse of what’s to come. Let’s dive into the details of Tesla’s GEN-3 Teslabot and explore how it’s pushing the boundaries of what’s possible.

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👋👋 ✍️ Fabio Remondino et al.

This paper presents a critical analysis of image-based 3D reconstruction using neural radiance fields (NeRFs), with a focus on quantitative comparisons with respect to traditional photogrammetry. The aim is, therefore, to objectively evaluate the strengths and weaknesses of NeRFs and provide insights into their applicability to different real-life scenarios, from small objects to heritage and industrial scenes. After a comprehensive overview of photogrammetry and NeRF methods, highlighting their respective advantages and disadvantages, various NeRF methods are compared using diverse objects with varying sizes and surface characteristics, including texture-less, metallic, translucent, and transparent surfaces. We evaluated the quality of the resulting 3D reconstructions using multiple criteria, such as noise level, geometric accuracy, and the number of required images (i.e.

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Particles called neutrons are typically very content inside atoms. They stick around for billions of years and longer inside some of the atoms that make up matter in our universe. But when neutrons are free and floating alone outside of an atom, they start to decay into protons and other particles. Their lifetime is short, lasting only about 15 minutes.

Physicists have spent decades trying to measure the precise lifetime of a neutron using two techniques, one involving bottles and the other beams. But the results from the two methods have not matched: they differ by about 9 seconds, which is significant for a particle that only lives about 15 minutes.

Now, in a new study published in the journal Physical Review Letters, a team of scientists has made the most precise measurement yet of a neutron’s lifetime using the bottle technique. The experiment, known as UCNtau (for Ultra Cold Neutrons tau, where tau refers to the neutron lifetime), has revealed that the neutron lives 14.629 minutes with an uncertainty of 0.005 minutes. This is a factor of two more precise than previous measurements made using either of the methods. While the results do not solve the mystery of why the bottle and beam methods disagree, they bring scientists closer to an answer.

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A team of planetary scientists and oceanographers from NOAA, the Indian National Center for Ocean Information Services, and the University of Zagreb, has found an example of an exception to Ekman’s theory of wind-driven ocean currents—wind and surface flow in the Bay of Bengal.

In their paper published in the journal Science Advances, the group analyzed several years of data sent by a buoy in the Indian Ocean, off the eastern coast of India.

In 1905, a Swedish oceanographer named Vagn Walfrid Ekman found evidence showing that ocean currents that flow near the surface, which were known to be impacted by , were found to deflect to the right in the Northern Hemisphere and to the left in the Southern Hemisphere. Work since that time has backed up the theory, which has come to be known as Ekman’s theory of wind-driven ocean currents.

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For the first time, scientists have invented a liquid ink that doctors can print onto a patient’s scalp to measure brain activity. The technology, presented December 2 in the journal Cell Biomaterials, offers a promising alternative to the cumbersome process currently used for monitoring brainwaves and diagnosing neurological conditions. It also has the potential to enhance non-invasive brain-computer interface applications.

“Our innovations in sensor design, biocompatible ink, and high-speed printing pave the way for future on-body manufacturing of electronic tattoo sensors, with broad applications both within and beyond ,” says Nanshu Lu, the paper’s co-corresponding author at the University of Texas at Austin.

Electroencephalography (EEG) is an important tool for diagnosing a variety of neurological conditions, including seizures, , epilepsy, and brain injuries. During a traditional EEG test, technicians measure the patient’s scalp with rulers and pencils, marking over a dozen spots where they will glue on electrodes, which are connected to a data-collection machine via long wires to monitor the patient’s brain activity. This setup is time consuming and cumbersome, and it can be uncomfortable for many patients, who must sit through the EEG test for hours.

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