WDJ1330+6435 and WDJ0902+2010 are changing our understanding of star colors. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. The cool white dwarf WDJ1330+6435 has accreted sodium-rich rocky material from its planetary system into its atmosphere. The immense atmospheric density causes the sodium to absorb light over a broad range of yellow, orange, and red wavelengths, giving the WDJ1330+6435 a ghostly green appearance (left). The cool white dwarf WDJ0902+2010 has a deep convection zone within its helium dominated outer envelope.

Optogenetics revolutionized neuroscience, but its origins come from an entirely brainless organism--an alga. Nobel Committee Secretary General Thomas Perlmann speaks to the media about this year's laureates--Karl Deisseroth, Peter Hegemann, and Georg Nagel--during the announcement of the winners of the 2026 Nobel Prize in Physiology or Medicine. The Karolinska Institute awarded the 2026 Nobel Prize in Medicine to researchers Karl Deisseroth of Stanford University, Peter Hegemann of Humboldt University in Berlin, and Georg Nagel of the University of Würzburg. Their discoveries led to the development of optogenetics, a technique where scientists can turn individual nerve cells on or off using beams of light. According to Per Svenningsson, chair of the Nobel Committee for Medicine, "Optogenetics provides opportunities for mapping the brain in a way that we could once only dream of."

Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Mashable @Home Look Up Trending Now Mashable Selects Say More Top creators, ranked Gift Ideas For Everyone On Your List Creator Playbook In My Bag AI at School Safety Net All Series That's why this guide has been in the works for a year. Leah Stodart is a Philadelphia-based Senior Shopping Reporter at Mashable where she covers and tests essential home tech like vacuums, TVs, beauty devices, and eco-friendly hacks. Her ever-evolving experience in these categories helps her make thoughtful recommendations for how to spend your money during shopping holidays like Black Friday, which Leah has been covering for Mashable since 2017. All products featured here are independently selected by our editors and writers. If you buy something through links on our site, Mashable may earn an affiliate commission. No one is seriously questioning whether the best red light masks work anymore. The professional skincare community and dermatologists largely agree on their effectiveness. The more nuanced question is red light therapy devices provide the best visible results. When choosing a red light mask or LED skincare device, factors like light wavelength, irradiance, and bulb placement all determine whether a mask is actually doing anything for your fine lines or inflammation. Since consistency is so key for visible results, the best red light mask is the one that you'll actually feel like wearing on a daily basis After trying over 10 different products, we ultimately found six that delivered consistent results for our testers -- and two we can't recommend.

The AI era needs ever faster chips. ASML has a monopoly on the expensive contraptions needed to pattern them. Jos Benschop is climbing a ladder to get to the top of his newest machine. The contraption is the size of a double-decker bus--more than 150 tons of gleaming precision-milled aluminum covered in thousands of snaking tubes, colored cables, and pressurized tanks. From the ground, it looks like a futuristic V8 engine. When I reach the top with Benschop we're looking down from about 15 feet in the air, with bunny-suited technicians scurrying around below. It's more than 200 cubic meters of tech--"mechatronic devices that hold a few mirrors in a position with atomic precision," he says, gesturing at the gargantuan apparatus. Benschop, a tall and grizzled 66-year-old, has spent over a decade working with his engineers to design this thing, but even so, he'll sometimes look at it and go: Benschop is the executive vice president of technology for ASML, a Dutch company that is the linchpin of the microchip industry. If you want to make powerful chips to power phones or AI, a lithography machine like the one we're standing on is what you need to create increasingly tiny circuitry. Lithography is the art and science of shining light on a silicon wafer to pattern out the transistors, wiring, and other components of the microchips that will be cut from it. The chipmaking field is essentially controlled by only two big players: ASML, which creates the lithography machines, and TSMC, the chipmaking giant. Nine years ago, ASML began selling machines that use a daring new way of patterning chip features.

Generating hyperspectral images (HSIs) from RGB images through spectral reconstruction can significantly reduce the cost of HSI acquisition. In this paper, we propose a Fractal-Based Recursive Spectral Reconstruction Network (FRN), which differs from existing paradigms that attempt to directly integrate the full-spectrum information from the R, G, and B channels in a one-shot manner. Instead, it treats spectral reconstruction as a progressive process, predicting from broad to narrow bands or employing a coarse-to-fine approach for predicting the next wavelength. Inspired by fractals in mathematics, FRN establishes a novel spectral reconstruction paradigm by recursively invoking an atomic reconstruction module. In each invocation, only the spectral information from neighboring bands is used to provide clues for the generation of the image at the next wavelength, which follows the low-rank property of spectral data. Moreover, we design a band-aware state space model that employs a pixel-differentiated scanning strategy at different stages of the generation process, further suppressing interference from low-correlation regions caused by reflectance differences. Through extensive experimentation across different datasets, FRN achieves superior reconstruction performance compared to state-of-the-art methods. Code is available at https://github.com/mongko007/frn.

Color doesn't exist--at least not how you think That's why it's impossible to describe the color red. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Our eyes know the color purple when we see it, but we'd find it really hard to describe it to someone who's never seen it. Breakthroughs, discoveries, and DIY tips sent six days a week. Red means Red means Red means The color conjures up a whole range of emotions and associations.

A.1 Mach-Zehnder Interferometers (MZIs) A basic coherent optical component used in this work is an MZI. One of the most general MZI structures is shown in Figure 15, consisting of two 50-by-50 optical directional couplers and four phase shifters θ, θ, ω, and ω. An MZI can achieve arbitrary 2 2 unitary matrices SU(2). Figure 15: 2-by-2 MZI with top (T), left (L), upper (P), and lower (W) phase shifters. A.2 MZI-based Photonic Tensor Core Architecture By cascading N(N 1)/2MZIs into a triangular mesh (Recks-style) or rectangular mesh (Clementsstyle), we can construct arbitrary N N unitary U(N).

A.1 Mach-ZehnderInterferometers(MZIs) A basic coherent optical component used in this work is an MZI. To optimize the MZI meshes, a straightforward idea is to use first-order methods to optimize all rotationsphases ΦU,ΦV,andΦΣ. A similar sampling matrixPx is applied to input features. According to the experience from the field of structured/subspace neural networks, e.g., block-circulant neural nets, the block size is typically set to a number around 8. Here we add newresults onL2ight-SL (αW=αC=0.6, In conclusion, we recommend using multiple interconnected 9 9 PTCs for parallel computing, since this choice of 9 9 block balances both systematic performance, hardware complexity,robustness,andon-chiptrainability.

How Does the Hive Mind Work in? The "Joining" seems to connect people via radio waves. Let's dig into the physics at play. Carol Sturka (left) and her chaperone," Zosia, in the Apple TV show . You know what's great about a show like?

The quality of water is key for the quality of agrifood sector. Water is used in agriculture for fertigation, for animal husbandry, and in the agrifood processing industry. In the context of the progressive digitalization of this sector, the automatic assessment of the quality of water is thus becoming an important asset. In this work, we present the integration of Ultraviolet-Visible (UV-Vis) spectroscopy with Machine Learning in the context of water quality assessment aiming at ensuring water safety and the compliance of water regulation. Furthermore, we emphasize the importance of model inter-pretability by employing SHapley Additive exPlanations (SHAP) to understand the contribution of absorbance at different wavelengths to the predictions. Our approach demonstrates the potential for rapid, accurate, and interpretable assessment of key water quality parameters.