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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.”

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Watch here.

The last two years saw cloud technology heavily encouraged across almost every sector. For businesses wishing to thrive in the chaos of the pandemic, the move to cloud environments became a necessity amidst the shift to remote work and the frequent inability to access data centers.

As a result, more businesses than ever — including many in established industries such as manufacturing, retail and healthcare — have accelerated their adoption of cloud-first models and strategies. This approach is empowering these industries with more agility and efficiency in what has been a very uncertain time for the world and thus, for business.

❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambdalabs.com/papers.

📝 The paper “High-Resolution Image Synthesis with Latent Diffusion Models” is available here:

High-Resolution Image Synthesis with Latent Diffusion Models


https://github.com/mallorbc/stable-diffusion-klms-gui.

❗Try it here (we seem to have crashed it…again 😅): https://huggingface.co/spaces/stabilityai/stable-diffusion.
❗Or here: https://colab.research.google.com/github/huggingface/noteboo…sion.ipynb.

Great notebooks to try:

Colab notebook “SD hiki” by daswerq123 has a feature-rich graphical user interface that runs in another browser tab or browser window. Low VRAM usage. This is based on a fork of the hlky GitHub repo, which is also used in the “ULTIMATE GUI RETARD GUIDE” (for Windows). Details are in a comment.
byu/Wiskkey inStableDiffusion


https://github.com/pinilpypinilpy/sd-webui-colab-simplified.
https://github.com/victordibia/peacasso.

Run it on your own graphics card: https://github.com/CompVis/stable-diffusion.
Guide on how to run it at home: https://www.assemblyai.com/blog/how-to-run-stable-diffusion-…te-images/

Image to image translation: https://twitter.com/AnjneyMidha/status/1564290733917360128

A relatively new kind of semiconductor, layered atop a mirror-like structure, can mimic the way that leaves move energy from the sun over relatively long distances before using it to fuel chemical reactions. The approach may one day improve the efficiency of solar cells.

“Energy transport is one of the crucial steps for and conversion in solar cells,” said Bin Liu, a postdoctoral researcher in electrical and computer engineering and first author of the study in the journal Optica.

“We created a structure that can support hybrid light-matter mixture states, enabling efficient and exceptionally long-range .”

According to the researcher, the same technology could be applied to beetles and cicadas as well.

It’s a fun and futuristic vision: an army of remotely controlled cyborg insects that can infiltrate hard to reach locations or monitor crops.

But scientists will have to advance the tech carefully — nobody wants to risk a cyborg cockroach uprising.

Circa 2016 face_with_colon_three


The Deutsche Physikalische Gesellschaft (DPG) with a tradition extending back to 1,845 is the largest physical society in the world with more than 61,000 members. The DPG sees itself as the forum and mouthpiece for physics and is a non-profit organisation that does not pursue financial interests. It supports the sharing of ideas and thoughts within the scientific community, fosters physics teaching and would also like to open a window to physics for all those with a healthy curiosity.

Did you know there’s a silent war going on inside your home? Alternating current (AC) electricity comes in from the grid, but many of your appliances and lighting run on direct current (DC). Every time you plug in a TV, computer or cell phone charger, power must be individually converted from AC to DC — a costly and inefficient process. Purdue University researchers have proposed a solution to the problem by retrofitting an entire house to run on its own efficient DC-powered nano-grid.

The project to transform a 1920s-era West Lafayette home into the DC Nanogrid House began in 2017 under the direction of Eckhard Groll, the William E. and Florence E. Perry Head of Mechanical Engineering, and member of Purdue’s Center for High Performance Buildings. “We wanted to take a normal house and completely retrofit it with DC appliances and DC architecture,” Groll said. “To my knowledge, no other existing project has pursued an experimental demonstration of energy consumption improvements using DC power in a residential setting as extensively as we have.”

A new optical device measures photon indistinguishability—an important property for future light-based quantum computers.

Photons can be used to perform complex computations, but they must be identical or close to identical. A new device can determine the extent to which several photons emitted by a source are indistinguishable [1]. Previous methods only gave a rough estimate of the indistinguishability, but the new method offers a precise measurement. The device—which is essentially an arrangement of interconnected waveguides—could work as a diagnostic tool in a quantum optics laboratory.

In optical quantum computing, sequences of photons are made to interact with each other in complex optical circuits (see Synopsis: Quantum Computers Approach Milestone for Boson Sampling). For these computations to work, the photons must have the same frequency, the same polarization, and the same time of arrival in the device. Researchers can easily check if two photons are indistinguishable by sending them through a type of interferometer in which two waveguides—one for each photon—come close enough that one photon can hop into the neighboring waveguide. If the two photons are perfectly indistinguishable, then they always end up together in the same waveguide.

so-called qubits, to perform computations much faster than any classical computer ever could.

While multiple frontrunner startups have explored various technology platforms, from superconducting qubits and ion trap systems to diamond-based quantum accelerators, scaling the number of qubits from a few dozen to hundreds, thousands, and eventually millions of qubits has remained notoriously difficult. But this might change with photonic quantum computing.

The startup ORCA Computing builds photonic quantum computers that use photons, the fundamental particles of light, as qubits. Using quantum memories and established telecommunications technology, it can scale its devices more easily and integrate with existing computing infrastructure e.g. in data centers. Based on the core memory technology developed by Kris Kaczmarek, ORCA was officially co-founded by Ian Walmsley, Richard Murray, Josh Nunn, and Cristina Escoda in Oxford in the fall of 2019. This summer 2022, it has raised a $15M Series A led by Octopus Ventures and joined by Oxford Science Enterprises, Quantonation, and Verve Ventures, with additional, project-based funding provided by Innovate UK. Previous investors also include Atmos Ventures and Creative Destruction Lab.