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Could aliens ever visit Earth? An aerospace scientist unpacks the challenges of interstellar spaceflight.

Popular Science

Science Space Could aliens ever visit Earth? The universe is vast and teeming with stars - but if intelligent life exists, it may not be able to visit Earth. 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. On May 22, 2026, the Pentagon released a second batch of previously classified photos and videos showing what appear to be unexplained flying objects. These file dumps were the culmination of a process that was set in motion back in July 2023, when a group of government whistleblowers testified before Congress that the U.S. government was secretly in possession of extraterrestrial spacecraft and suspected alien body parts.


Physen-Noise2Noise: Physics-Guided Self-Supervised Defocus Deblurring with Bias Correction under Low-Light Conditions

arXiv.org Machine Learning

Low-light, long-exposure defocus deblurring remains a challenging problem due to the simultaneous presence of severe blur and complex biased noise. Existing methods typically rely on simplified noise assumptions, which limits their effectiveness under realistic imaging conditions. In this work, we propose Physen-Noise2Noise, a self-supervised deblurring framework guided by the physical model of defocus imaging, which leverages noisy multi-frame observations without requiring clean reference images. Unlike conventional Noise2Noise-based approaches that assume zero-mean noise, we derive a frequency-domain constraint inherent to the defocus imaging process and incorporate it into the learning framework via a learnable noise bias parameter. In addition, a multi-frame noisy initialization strategy is introduced to suppress complex biased noise prior to deblurring, providing a more stable starting point for reconstruction. This formulation explicitly models biased noise and enables joint bias correction and high-frequency detail recovery during training. Furthermore, we develop a pretrain-finetune variant to enhance robustness and generalization under challenging noise conditions. Extensive experiments on both simulation and real-world datasets demonstrate that the proposed method consistently outperforms state-of-the-art self-supervised approaches for defocus deblurring in the presence of complex biased noise.


10 images of Iceland's changing landscape

Popular Science

A new documentary uses archival photos to tell the story of the land of fire and ice. 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. Strong winds lift snow off a glacial cap on a sunny day in Iceland. Breakthroughs, discoveries, and DIY tips sent six days a week. What happens when your homeland begins to melt?


Improved Baselines with Representation Autoencoders

arXiv.org Machine Learning

Representation Autoencoders (RAE) replace traditional VAE with pretrained vision encoders. In this paper, we systematically investigate several design choices and find three insights which simplify and improve RAE. First, we study a generalized formulation where the representation is defined as sum of the last k encoder layers rather than solely the final layer. This simple change greatly improves reconstruction without encoder finetuning or specialized data (e.g., text, faces). Second, we study the prevalent assumption that RAE (using pretrained representation as encoder) replaces representation alignment (REPA), which distills the same representation to intermediate layers instead. Through large-scale empirical analysis, we uncover a surprising finding: RAE and REPA exhibit complementary working mechanisms, allowing the same representation to be used as both encoder and target for intermediate diffusion layers. Finally, the original RAE struggles with classifier-free guidance (CFG) and requires training a second, weaker diffusion model for AutoGuidance (AG). We show that REPA itself can be viewed as x-prediction in RAE latent space. By simply re-parameterizing the output of the DiT model, it can provide guidance for "free". Overall, RAEv2 leads to more than 10x faster convergence over the original RAE, achieving a state-of-the-art gFID of 1.06 in just 80 epochs on ImageNet-256. On FDr^k, RAEv2 achieves a state-of-the-art 2.17 at just 80 epochs compared to the previous best 3.26 (800 epochs) without any post-training. This motivates EP_FID@k (epochs to reach unguided gFID <= k) as a measure of training efficiency. RAEv2 attains an EP_FID@2 of 35 epochs, versus 177 for the original RAE. We also validate our approach across diverse settings for text-to-image generation and navigation world models, showing consistent improvements. Code is available at https://raev2.github.io.


Superbloom turns Redwood National Park's hills purple

Popular Science

Environment Conservation Land Superbloom turns Redwood National Park's hills purple Riverbank lupine attracts pollinators and shows how prescribed burns can support prairies. 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 superbloom about six hours north of San Francisco began in early May. Breakthroughs, discoveries, and DIY tips sent six days a week. Death Valley National Park's ephemeral spring superblooms get most of the attention, but another national park in California has its own impressive floral show this year.


The Panasonic LUMIX L10 is the latest model in the compact camera renaissance

Popular Science

A large sensor, fast zoom lens, and tactile controls make this an appealing alternative to cameras like the Fujifilm X100 series. 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 advanced compact is back. We may earn revenue from the products available on this page and participate in affiliate programs. If you've tried to buy a Canon G7X or a Fujifilm X100V-series camera lately, you may already know that advanced compact cameras have made a real comeback.


14 toucans found inside a car dashboard complete rehab

Popular Science

The colorful tropical birds are highly prized in the illegal wildlife trade. 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. A male rehabilitated toucan in Bronx Zoo World of Birds. Breakthroughs, discoveries, and DIY tips sent six days a week. Over a dozen keel-billed toucans () that were found stuffed inside of a vehicle's dashboard officially have a clean bill of health.


CAUTION: That dead elk in Yellowstone could be grizzly bear bait

Popular Science

National Park biologists are beginning their annual bear research. 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. About 150 to 200 grizzlies live in Yellowstone. Breakthroughs, discoveries, and DIY tips sent six days a week. Heeding legitimate signs is always important, but between May 1st and October 15 at Yellowstone National Park it will be particularly significant.


Fat Bear Week champion Chunk spotted taking a stroll in Alaska

Popular Science

Weighing an estimated 1,200 pounds, the dominant brown bear clinched the 2025 crown. 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. Breakthroughs, discoveries, and DIY tips sent six days a week. Maintenance workers at Katmai National Park in Alaska spotted 2025 Fat Bear Week champion Chunk. In a video shared by Katmai Conservancy, National Park Service (NPS) maintenance crews spotted the roughly large adult male brown bear () walking along on a patch of ice in the park.


Constructing Non-isotropic Gaussian Diffusion Model Using Isotropic Gaussian Diffusion Model for Image Editing

Neural Information Processing Systems

Score-based diffusion models (SBDMs) have achieved state-of-the-art results in image generation. In this paper, we propose a Non-isotropic Gaussian Diffusion Model (NGDM) for image editing, which requires editing the source image while preserving the image regions irrelevant to the editing task. We construct NGDM by adding independent Gaussian noises with different variances to different image pixels.