Lifeboat Foundation

Researchers have developed a camera that uses a thin microlens array and new image processing algorithms to capture 3D information about objects in a scene with a single exposure. The camera could be useful for a variety of applications such as industrial part inspection, gesture recognition and collecting data for 3D display systems.

“We consider our camera lensless because it replaces the bulk lenses used in conventional cameras with a thin, lightweight microlens array made of flexible polymer,” said research team leader Weijian Yang from the University of California, Davis. “Because each microlens can observe objects from different viewing angles, it can accomplish complex imaging tasks such as acquiring 3D information from objects partially obscured by objects closer to the camera.”

In the journal Optics Express, Yang and first author Feng Tian, a doctoral student in Yang’s lab, describe the new 3D camera. Because the camera learns from existing data how to digitally reconstruct a 3D scene, it can produce 3D images in real time.

For all of history, there’s been an underlying but unspoken assumption about the laws that govern the Universe: If you know enough information about a system, you can predict precisely how that system will behave in the future. The assumption is, in other words, deterministic. The classical equations of motion — Newton’s laws — are completely deterministic. The laws of gravity, both Newton’s and Einstein’s, are deterministic. Even Maxwell’s equations, governing electricity and magnetism, are 100% deterministic as well.

But that picture of the Universe got turned on its head with a series of discoveries that began in the late 1800s. Starting with radioactivity and radioactive decay, humanity slowly uncovered the quantum nature of reality, casting doubt on the idea that we live in a deterministic Universe. Predictively, many aspects of reality could only be discussed in a statistical fashion: where a set of probable outcomes could be presented, but which one would occur, and when, could not be precisely established. The hopes of avoiding the necessity of “quantum spookiness” was championed by many, including Einstein, with the most compelling alternative to determinism put forth by Louis de Broglie and David Bohm. Decades later, Bohmian mechanics was finally put to an experimental test, where it failed spectacularly. Here’s how the best alternative to the spooky nature of reality simply didn’t hold up.

According to a University of Portsmouth study, a new physics law could allow for the early prediction of genetic mutations.

The study discovers that the second law of information dynamics, or “infodynamics,” behaves differently from the second law of thermodynamics. This finding might have major implications for how genomic research, evolutionary biology, computing, big data, physics, and cosmology develop in the future.

Lead author Dr. Melvin Vopson is from the University’s School of Mathematics and Physics. He states “In physics, there are laws that govern everything that happens in the universe, for example how objects move, how energy flows, and so on. Everything is based on the laws of physics. One of the most powerful laws is the second law of thermodynamics, which establishes that entropy – a measure of disorder in an isolated system – can only increase or stay the same, but it will never decrease.”

A groundbreaking mathematical equation that could transform medical procedures, natural gas extraction, and plastic packaging production in the future has been discovered.

The new equation, developed by scientists at the University of Bristol, indicates that diffusive movement through permeable material can be modeled exactly for the very first time. It comes a century after world-leading physicists Albert Einstein and Marian von Smoluchowski derived the first diffusion equation, and marks important progress in representing motion for a wide range of entities from microscopic particles and natural organisms to man-made devices.

Until now, scientists looking at particle motion through porous materials, such as biological tissues, polymers, various rocks and sponges have had to rely on approximations or incomplete perspectives.

Where are all the aliens?! This is the essence to the Fermi Paradox. It’s most popular solution is the “Great Filter.” What is the obstacle that life and/or intelligent species are unlikely to survive? Let’s discuss.

00:00 Cold Open.
00:18 Introduction.
00:48 History of the Fermi Paradox.
02:48 Fermi Paradox Explained.
03:55 Drake Equation Explained.
07:04 The Great Filter.
09:56 Rare Earth Hypothesis.
10:53 Geologic Time in Galactic Years.
14:48 Evolution of Intelligent Life.
17:03 Conclusions.
19:11 Poll Results.
19:47 Outro.
20:10 Featured Comment.

Continue reading “Humans are the First Aliens. Here’s Why” »

The Dunedin Pace of Aging Algorithm (PACE) was created by researchers from Duke, and the University of Otago over the course of 50 years of longitudinal research. It offers a revolutionary way to track aging which looks at an individual’s current rate of aging, and now TruDiagnostic has announced it is offering this powerful, third-generation clock to the public at an affordable price through TruAge PACE.

Longevity. Technology: Biologically, aging is the process of human cells slowly losing function over time; this process can be tracked by examining molecular markers called methylation and using advanced algorithms to sort those markers and calculate a person’s biological age – how old they are biologically rather than they number of birthdays they have clocked up.

The ability to track aging is dependent on the ability of the algorithms themselves. Until recently, most algorithms were trained on chronological age, and this meant they had poor responsiveness to interventions that are known to impact the biological course of aging. PACE gives individuals t he ability to detect rapid aging at an early age.

The droppers are designed to drop a new version of SharkBot, dubbed V2 by Dutch security firm ThreatFabric, which features an updated command-and-control (C2) communication mechanism, a domain generation algorithm (DGA), and a fully refactored codebase.

Fox-IT said it discovered a newer version 2.25 on August 22, 2022, that introduces a function to siphon cookies when victims log in to their bank accounts, while also removing the ability to automatically reply to incoming messages with links to the malware for propagation.

For hundreds of years, there was an immutable law of physics that was never challenged: that in any reaction occurring in the Universe, mass was conserved…

Creating images from text in seconds—and doing so with a conventional graphics card and without supercomputers? As fanciful as it may sound, this is made possible by the new Stable Diffusion AI model. The underlying algorithm was developed by the Machine Vision & Learning Group led by Prof. Björn Ommer (LMU Munich).

“Even for laypeople not blessed with artistic talent and without special computing know-how and computer hardware, the new model is an effective tool that enables computers to generate images on command. As such, the model removes a barrier to ordinary people expressing their creativity,” says Ommer. But there are benefits for seasoned artists as well, who can use Stable Diffusion to quickly convert new ideas into a variety of graphic drafts. The researchers are convinced that such AI-based tools will be able to expand the possibilities of creative image generation with paintbrush and Photoshop as fundamentally as computer-based word processing revolutionized writing with pens and typewriters.

In their project, the LMU scientists had the support of the start-up Stability. Ai, on whose servers the AI model was trained. “This additional computing power and the extra training examples turned our AI model into one of the most powerful image synthesis algorithms,” says the computer scientist.