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Archive for the ‘holograms’ category: Page 4

Dec 24, 2023

Holograms Might Save Physics

Posted by in categories: holograms, mathematics, mobile phones, quantum physics, satellites

Even though the guts of General Relativity are obtusely mathematical, and for decades was relegated to math departments rather than proper physics, you get to experience the technological gift of relativity every time you navigate to your favorite restaurant. GPS, the global positioning system, consists of a network of orbiting satellites constantly beaming out precise timing data. Your phone compares those signals to figure out where you are on the Earth. But there is a difference in spacetime between the surface of the Earth and the orbit of the satellites. Without taking general relativity into account, your navigation would simply be incorrect, and you’d be late for dinner.

As revolutions go, general relativity is a big one. And as unifications go, it’s a warning. To make this union happen Einstein had to radically, permanently alter not just our conceptions of gravity as a force acting through space and time, but our conceptions of space and time itself. It took no less than a complete overhaul of our entire philosophical understanding of the relation between space and time to bridge the gap.

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Dec 15, 2023

China’s Air Force simulates warplane maintenance with Microsoft headsets

Posted by in categories: augmented reality, holograms, military

A video released by a Chinese state broadcaster shows the use of Microsoft Hololens 2 to simulate maintenance on a warplane.


The Chinese military is reported to be utilizing mixed-reality goggles manufactured by Microsoft for equipment maintenance, as shown in a video released by a state broadcaster.

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Dec 11, 2023

Creating an Audio “Hallucination”

Posted by in categories: biotech/medical, holograms, military

Producing fake sound reflections that simulate the presence or absence of an object could allow the military to hide assets underwater.

A hologram plate simulates the presence of a three-dimensional object by reflecting the appropriate light waves. Now researchers have demonstrated an equivalent behavior with sound by precisely mimicking the acoustic pattern scattered from an object [1]. The technique could be useful in military efforts to hide or disguise underwater objects, or it may be useful in modifying the reflected sounds of objects so that they are easier to identify by people with impaired vision.

The sound waves reflected from an object can be used to reconstruct its position and shape, an idea routinely exploited in sonar and ultrasound imaging. In principle, using similar concepts, a cleverly produced pattern of scattered waves streaming out of a small region could signify that an object is present when it is not. Several recent attempts to realize such “acoustic cloning” have been unsuccessful because of limitations in recording the precise pattern of waves an object reflects, a necessary preliminary step.

Nov 20, 2023

String Theory, Quantum Gravity and Black Holes (Or, Are We Holograms?)

Posted by in categories: cosmology, holograms, quantum physics

Join Brian Greene and Juan Maldacena as they explore a wealth of developments connecting black holes, string theory, quantum gravity, quantum entanglement, wormholes, and the holographic principle.

This program is part of the Big Ideas Series, made possible with support from the John Templeton Foundation.

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Oct 25, 2023

The physicist trying to create space-time from scratch

Posted by in categories: holograms, quantum physics

Monika Schleier-Smith is testing the idea that space-time emerges, like a hologram, from quantum interactions by attempting to make it in the lab.

By Lyndie Chiou

Oct 22, 2023

Hologram Breakthrough — New Technology Transforms Ordinary 2D Images

Posted by in categories: biotech/medical, computing, holograms, virtual reality

Holograms provide a three-dimensional (3D) view of objects, offering a level of detail that two-dimensional (2D) images cannot match. Their realistic and immersive display of 3D objects makes holograms incredibly valuable across various sectors, including medical imaging, manufacturing, and virtual reality.

Traditional holography involves recording an object’s three-dimensional data and its interactions with light, a process that demands high computational power and the use of specialized cameras for capturing 3D images. This complexity has restricted the widespread adoption of holograms.

Oct 20, 2023

Hologram Zoo Is Real And Signals The Future

Posted by in categories: 3D printing, holograms, mobile phones

The number of Star Trek sci-fi technology that ultimately became real-life tech never ceases to amaze. The series inspired the development of touchscreens, communicators became mobile phones, PAADs became tablets, replicators became 3D printing, and now holodecks are becoming virtual and augmented realities (VRs and ARs). And while fully immersive environments like the holodeck still remain in the realm of sci-fi, a recent report from BBC on a hologram zoo indicates that the future isn’t so far-fetched when it comes to immersive holographic.

The holograms use a new depth technology that not only makes the animals seem big but makes them visible as 3D objects rather than suspended 2D images.

According to the report, the visitors of Australia’s Hologram Zoo, which opened earlier this year, can dodge stampeding elephants, peer into the gaping jaws of a hippopotamus, pet-friendly giraffes, and witness more than 50 lifelike displays from dinosaurs to gorillas—all crafted from concentrated beams of light.

Oct 20, 2023

Why a ‘hologram revolution’ could be on the way

Posted by in category: holograms

Holograms are getting better and cheaper and some think soon they will be everywhere.

Sep 8, 2023

WiMi Developed Metasurface Eyepiece for Augmented Reality with Ultra-wide FOV

Posted by in categories: augmented reality, holograms, nanotechnology, virtual reality

Metalens for AR and VR.


BEIJING, Sept. 8, 2023 /PRNewswire/ — WiMi Hologram Cloud Inc. (NASDAQ: WIMI) (“WiMi” or the “Company”), a leading global Hologram Augmented Reality (“AR”) Technology provider, today announced that a metasurface eyepiece for augmented reality has been developed, which is based on metasurfaces composed of artificially fabricated subwavelength structures. The metasurface eyepiece employs a special optical design and engineered anisotropic optical response to achieve an ultra-wide field of view(FOV), full-color imaging, and high-resolution near-eye display.

At the heart of the WiMi’s metalens are see-through metalens with a high numerical aperture(NA), a large area and broadband characteristics. Its anisotropic optical response allows it to perform two different optical functions simultaneously. First, it can image virtual information, acting as an imaging lens for virtual information. Second, it can transmit light, serving as a transparent glass for viewing a real-world scene. This design allows the transparent metalens to be placed directly in front of the eye without the need for additional optics, resulting in a wider FOV.

Fabrication of metalens is done using nanoimprinting technology, which is capable of fabricating large-area metalens with sub-wavelength structures. First, a mould or template with the desired structure is prepared. Then, the mould or template is contacted with a transparent substrate and the nanoscale structure is transferred by applying pressure and temperature. Through this nanoimprinting process, the subwavelength structure of the metalens is successfully replicated onto the transparent substrate, resulting in the formation of the metalens.

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Aug 18, 2023

UCLA Researchers Introduce GedankenNet: A Self-Supervised AI Model That Learns From Physics Laws and Thought Experiments Advancing Computational Imaging

Posted by in categories: biotech/medical, holograms, information science, robotics/AI

Recent advancements in deep learning have significantly impacted computational imaging, microscopy, and holography-related fields. These technologies have applications in diverse areas, such as biomedical imaging, sensing, diagnostics, and 3D displays. Deep learning models have demonstrated remarkable flexibility and effectiveness in tasks like image translation, enhancement, super-resolution, denoising, and virtual staining. They have been successfully applied across various imaging modalities, including bright-field and fluorescence microscopy; deep learning’s integration is reshaping our understanding and capabilities in visualizing the intricate world at microscopic scales.

In computational imaging, prevailing techniques predominantly employ supervised learning models, necessitating substantial datasets with annotations or ground-truth experimental images. These models often rely on labeled training data acquired through various methods, such as classical algorithms or registered image pairs from different imaging modalities. However, these approaches have limitations, including the laborious acquisition, alignment, and preprocessing of training images and the potential introduction of inference bias. Despite efforts to address these challenges through unsupervised and self-supervised learning, the dependence on experimental measurements or sample labels persists. While some attempts have used labeled simulated data for training, accurately representing experimental sample distributions remains complex and requires prior knowledge of sample features and imaging setups.

To address these inherent issues, researchers from the UCLA Samueli School of Engineering introduced an innovative approach named GedankenNet, which, on the other hand, presents a revolutionary self-supervised learning framework. This approach eliminates the need for labeled or experimental training data and any resemblance to real-world samples. By training based on physics consistency and artificial random images, GedankenNet overcomes the challenges posed by existing methods. It establishes a new paradigm in hologram reconstruction, offering a promising solution to the limitations of supervised learning approaches commonly utilized in various microscopy, holography, and computational imaging tasks.

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