Luckily, the cruel experiment never happened. 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. Cheetah the Chimp, Johnny Sheffield as Boy, Johnny Weismuller as Tarzan, and Maureen O'Sullivan as Jane sit on a tree branch in an undated publicity still. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .

With the Project Monarch App, users can track their 3,000-mile-long migration. 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. Monarch butterfly with a radio telemetry transmitter attached to its back along the central California coast. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .

Mashable Selects Look Up Say More Versus Creator Hub Switch Off Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Trending Now Safety Net In My Bag VidCon with Mashable Back to School All Series'House of the Dragon' Season 3 foreshadowed its saddest finale moment Shannon Connellan is Mashable's Senior Editor, General Assignments, based in London. She has been Mashable's UK Editor (and still manages the illustrious UK team) and Australia Editor, but emotionally, she lives searching for . A Tomatometer-approved critic, Shannon writes about entertainment, tech, social good, science, culture, and Australian horror, and loves to nerd out with movie stars, filmmakers, and TV creators . 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.

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John Pendry is known for creating an invisibility cloak. John Pendry's kitchen is dominated by a huge photograph of what looks like the view through a kaleidoscope: dizzying shards of purple, green, yellow and white. Given that Pendry is famous above all else for inventing an invisibility cloak - a device that can bend light around objects - I wonder if I am looking at something related to that. But no, he tells me, the image simply shows crystals of vitamin C magnified many times. All that invisibility-cloak stuff is in the past, he says, and he has moved on to "more exciting things".

At the first epoch, learning rate is warmed up gradually fromlrinit = 1 10 5 to lrpeak. Figure A and B demonstrate the performances of the baseline and rejection sampling by varying hyperparameterssuchastop-k,softmaxtemperature,andacceptanceratio.Forthebaselinesampling in ImageNet, the hyperparameter setting withk = 2048 and temperaturet = 0.95 achieves the best FID performance in the small and medium models and the second-best performance in the large model. Figure C: Examples of reconstructed images using HQ-VAE with the learnable down-and upsampling layers. B.3 PredictionHeadTransformer(PHT) Wepropose locally hierarchical decoding inPHT contrary tothestandard sequential approach by assuming the conditional independence among bottom codes given a top code. We use pixel-shuffle and -unshuffle for resizing operations as illustrated in (a) while recursively quantizing hierarchical feature maps to acquire three-levelcodes--top,middle,andbottom.

The team even extracted DNA from a tiny 100-year-old butterfly leg. Breakthroughs, discoveries, and DIY tips sent every weekday. When you think of butterflies, chances are you imagine unmistakable insects with bright, bold wings. But it turns out that individual butterfly species are sometimes shockingly difficult to tell apart. "Thanks to the genetic revolution and the collaboration of researchers and museums in various countries led by London's Natural History Museum, century-old butterflies are now speaking to us," Christophe Faynel, an entomologist at the Société entomologique Antilles Guyane, said in a statement .

Feedback is entertained by the commotion at the International Association for Cryptologic Research's recent elections, where results could not be decrypted after an honest but unfortunate human mistake The phrase "you couldn't make it up", Feedback feels, is often misunderstood. It doesn't mean there are limits to the imagination, but rather that there are some developments you can't include in a fictional story because people would say "oh come on, that would never happen". The trouble is, those people are wrong, because real life is frequently ridiculous. In the world of codes and ciphers, one of the more important organisations is the International Association for Cryptologic Research, described as " a non-profit organization devoted to supporting the promotion of the science of cryptology ". The IACR recently held elections to choose new officers and directors and to tweak its bylaws.

Foundation models have demonstrated a remarkable ability to learn rich, transferable representations across diverse modalities such as images, text, and audio. In modern machine learning pipelines, these representations often replace raw data as the primary input for downstream tasks. In this paper, we address the challenge of adapting a pre-trained foundation model to inject domain-specific knowledge, without retraining from scratch or incurring significant computational costs. To this end, we introduce BotaCLIP, a lightweight multimodal contrastive framework that adapts a pre-trained Earth Observation foundation model (DOFA) by aligning high-resolution aerial imagery with botanical relevés. Unlike generic embeddings, BotaCLIP internalizes ecological structure through contrastive learning with a regularization strategy that mitigates catastrophic forgetting. Once trained, the resulting embeddings serve as transferable representations for downstream predictors. Motivated by real-world applications in biodiversity modeling, we evaluated BotaCLIP representations in three ecological tasks: plant presence prediction, butterfly occurrence modeling, and soil trophic group abundance estimation. The results showed consistent improvements over those derived from DOFA and supervised baselines. More broadly, this work illustrates how domain-aware adaptation of foundation models can inject expert knowledge into data-scarce settings, enabling frugal representation learning.