Trending Now Say More Look Up In My Bag Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Mashable @Home Mashable Selects Top creators, ranked Gift Ideas For Everyone On Your List Creator Playbook AI at School Safety Net All Series Soumya is a deals writer who covers consumer tech, shopping deals, and the products people use every day. With experience writing about everything from AI tools and software to smartphones and home gadgets, she enjoys breaking down product research into clear, useful recommendations. When she's not tracking deals, she's usually comparing products, digging through reviews, and figuring out what actually makes a purchase worth it. 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.

Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Trending Now Look Up Mashable Selects Say More Top creators, ranked Gift Ideas For Everyone On Your List Creator Playbook In My Bag AI at School Safety Net Versus All Series So you've decided that you hate your current TV. We'll help you decide how to upgrade. 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. Compared to choosing a new robot vacuum or deciding between Ninja appliances, the journey to buy a new TV is arguably the most complex of the staple household electronics. You can technically go to a store to assess brightness, contrast, or size in person.

Say More Safety Net Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Look Up Versus Mashable Selects Creator Playbook In My Bag Trending Now Back to School Good Connection: Uplifting stories for a digital age Switch Off All Series Some of our favorite QLED and OLED TVs from 2026 are already heavily discounted. Christina Buff is a Nashville-based freelance writer for who covers shopping with a splash of entertainment. If you're ever wondering what streaming service you need to watch something (and the cheapest way to sign up for it), she's your girl. 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.

Say More Look Up Mashable Selects Mashable Voices Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Safety Net Creator Hub Versus Gift Ideas For Everyone On Your List Switch Off Trending Now In My Bag All Series This list includes our favorite QLED of 2026, the best OLED TV for most people, and our favorite budget TV of the year. Christina Buff is a Nashville-based freelance writer for who covers shopping with a splash of entertainment. If you're ever wondering what streaming service you need to watch something (and the cheapest way to sign up for it), she's your girl. 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.

A research team has successfully imaged a nova in high resolution--and the images suggest that the nova was not a single, impulsive explosion. The Center for High Angular Resolution Astronomy (CHARA Array) at Georgia State University has generated detailed images of the early stages of two nova explosions that were detected in 2021. Through near-infrared interferometry, a process that combines light from multiple telescopes, the CHARA Array was able to capture in high resolution the rapidly changing conditions of their early post-explosion phase. A nova is an astronomical phenomenon that occurs in a binary system when a white dwarf strips its companion star of hydrogen-rich gas, causing a thermonuclear runaway reaction on the white dwarf's surface. The name derives from the sudden brightening that makes it appear as though a new star has appeared in the night sky.

In the pursuit of advancing holographic display technology, we face a unique yet persistent roadblock: the inflexibility of learned holography in adapting to various hardware configurations. This is due to the variances in the complex optical components and system settings in existing holographic displays. Although the emerging learned approaches have enabled rapid and high-quality hologram generation, any alteration in display hardware still requires a retraining of the model. Our work introduces a configurable learned model that interactively computes 3D holograms from RGB-only 2D images for a variety of holographic displays. The model can be conditioned to predefined hardware parameters of existing holographic displays such as working wavelengths, pixel pitch, propagation distance, and peak brightness without having to retrain. In addition, our model accommodates various hologram types, including conventional single-color and emerging multi-color holograms that simultaneously use multiple color primaries in holographic displays. Notably, we enabled our hologram computations to rely on identifying the correlation between depth estimation and 3D hologram synthesis tasks within the learning domain for the first time in the literature. We employ knowledge distillation via a student-teacher learning strategy to streamline our model for interactive performance. Achieving up to a 2x speed improvement compared to state-of-the-art models while consistently generating high-quality 3D holograms with different hardware configurations.

It was Google's turn on Wednesday to announce a litany of devices and updates. The Pixel 8 and Pixel 8 Pro were the headline acts, though there was lots of interest further down the bill including the reveal of the Pixel Watch 2 and the public version of Android 14 making its way out into the world. You can catch up on everything by watching the Made by Google event yourself or checking out our liveblog for real-time insight and analysis. Alternatively, we've rounded up all the major announcements for you right here. The stars of the Made by Google show are, of course, the company's latest smartphones.

We construct a physically-parameterized probabilistic autoencoder (PAE) to learn the intrinsic diversity of type Ia supernovae (SNe Ia) from a sparse set of spectral time series. The PAE is a two-stage generative model, composed of an Auto-Encoder (AE) which is interpreted probabilistically after training using a Normalizing Flow (NF). We demonstrate that the PAE learns a low-dimensional latent space that captures the nonlinear range of features that exists within the population, and can accurately model the spectral evolution of SNe Ia across the full range of wavelength and observation times directly from the data. By introducing a correlation penalty term and multi-stage training setup alongside our physically-parameterized network we show that intrinsic and extrinsic modes of variability can be separated during training, removing the need for the additional models to perform magnitude standardization. We then use our PAE in a number of downstream tasks on SNe Ia for increasingly precise cosmological analyses, including automatic detection of SN outliers, the generation of samples consistent with the data distribution, and solving the inverse problem in the presence of noisy and incomplete data to constrain cosmological distance measurements. We find that the optimal number of intrinsic model parameters appears to be three, in line with previous studies, and show that we can standardize our test sample of SNe Ia with an RMS of $0.091 \pm 0.010$ mag, which corresponds to $0.074 \pm 0.010$ mag if peculiar velocity contributions are removed. Trained models and codes are released at \href{https://github.com/georgestein/suPAErnova}{github.com/georgestein/suPAErnova}

Game day is right around the corner, which means it's one of the best times of the year to upgrade your TV. Aside from the holiday shopping season, the few weeks leading up to the Super Bowl have some of the best TV deals you'll find throughout the year. Sets from Samsung, LG, Hisense and others can be hundreds of dollars off and you can even find devices like soundbars and streamers for less, too. Just keep in mind that often the best discounts will be on more expensive TVs. But retailers like Amazon and Best Buy still have a bunch of TVs under $500 that are worth considering if you don't want to spend too much -- and it's possible to save money on those, too.

The conceit is a simple one: If you already rely on a suite of Alexa-powered smart home devices and you're excited by the prospect of rounding out the armada with an Alexa-integrated TV, the Omni is aimed squarely at you. Several of its most enticing features have yet to roll out, but it's easy to envision them working seamlessly within an established network of Alexa doorbells, cameras, and speakers. But traditionally, a suite of smart functions is only one of the prerequisites for a satisfactory TV experience--in many cases, smart features are almost an afterthought when considering a TV's value, and buyers interested in the Fire TV Omni will have to make do with the Omni's limitations in other areas. For example, due to its middling hardware, it's not a good pick for showcasing HDR, nor is it a good fit for gamers. The Amazon Fire TV Omni feels like a proof of concept for better-performing Amazon TVs sometime in the not-so-distant future. If you're an Alexa power user, the proof of concept is good enough to warrant a look.