Horrifying next twist in the Alexander brothers case: MAUREEN CALLAHAN exposes an unthinkable perversion that's been hiding in plain sight Alexander brothers' alleged HIGH SCHOOL gang rape video: Classmates speak out on sick'taking turns' footage... as creepy unseen photos are exposed Model Cindy Crawford, 60, mocked for her'out of touch' morning routine: 'Nothing about this is normal' Kentucky mother and daughter turn down $26.5MILLION to sell their farms to secretive tech giant that wants to build data center there Live Nation executives mocked'stupid' concert-goers in emails where they bragged about how to best rip them off: '$60 for closer grass' NFL superstar Xavier Worthy spills all on Travis Kelce, the Chiefs' struggles... and having Taylor Swift as his No 1 fan Heartbreaking video shows very elderly DoorDash driver shuffle down customer's driveway with coffee order because he is too poor to retire Amber Valletta, 52, was a '90s Vogue model who made movies with Sandra Bullock and Kate Hudson, see her now Nancy Mace throws herself into Iran warzone as she goes rogue on Middle East rescue mission: 'I AM that person' Hidden toxins in kids' treats EXPOSED: Health guru Jillian Michaels' sit-down with Casey DeSantis reveals dangers lurking in popular foods READ MORE: The Bible theory that links Noah's Ark to the eight modern blood types in humans The discovery of ancient sea fossils atop several mountains around the world has reignited debate over the biblical story of Noah's Great Flood. A viral video showing hikers uncovering fossilized seashells in the Guadalupe Mountains, a range stretching across west Texas and southeastern New Mexico, has fueled fresh speculation online that the towering peaks were once submerged beneath an ancient ocean. The clip, which has been viewed more than seven million times, shows the group inspecting and collecting rocks, revealing embedded marine fossils such as bivalve seashells and other shellfish remnants. The discovery has sparked a wave of debate online, with some viewers claiming the fossils are evidence of a global flood described in the Bible . The Great Flood is portrayed in the Book of Genesis as a global catastrophe sent by God to wipe out widespread human corruption and violence.

Dinosaur National Monument workers discovered fossils during parking lot construction in September, the first find in over a century. The fossils are believed to belong to the Diplodocus.

A 20,000 year old fossil uncovered in a tarantula-filled cave has paleontologists stunned. Breakthroughs, discoveries, and DIY tips sent every weekday. Bees are frequently associated with large queen-serving colonies featuring hundreds if not thousands of insects . They lay their eggs in small cavities, and they leave pollen for the larvae to eat," explained paleontologist Lazasro Viñola López . "Some bee species burrow holes in wood or in the ground, or use empty structures for nests." Viñola López, a researcher at Chicago's Field Museum, added that some European and African species even construct nests inside vacant snail shells. That said, a beehive inside a bone is a new one even for seasoned researchers. Estimated to be around 20,000 years old, this newly discovered specimen is also the first known example of such a home, past or present. The findings are detailed in a study published on December 16 in the journal . Researchers located the unique find while exploring the many limestone caves that dot the southern Dominican Republic. Sinkholes are common across the Caribbean island of Hispaniola, and are often so well sheltered from the elements that they function like underground time capsules. These windows into the past are largely thanks to the work of the island's owls . The predatory birds often make their nests inside these caves, where they regularly cough up owl pellets filled with the undigested bones of their prey. Over thousands of years, these layers of bones fossilize atop one another across carbonate layers created from rainy periods. "The initial descent into the cave isn't too deep-we would tie a rope to the side and then rappel down," Viñola López said. "If you go in at night, you see the eyes of the tarantulas that live inside." After proceeding past the large spiders through about 33 feet of underground tunnel, the paleontologists began finding various fossils. Many belonged to rodents, but there were also bones from birds, reptiles, and even sloths for a total of over 50 different animal species. "We think that this was a cave where owls lived for many generations, maybe for hundreds or thousands of years," said Viñola López. "The owls would go out and hunt, and then come back to the cave and throw up pellets.

Centuries-old genetic material can solve historical mysteries, from lost species to what killed Napoleon's army. A glowing, digital double helix represents the billions of base pairs scientists analyze when sequencing ancient DNA. Breakthroughs, discoveries, and DIY tips sent every weekday. In 1976, workers excavating a tunnel for the Toronto subway system came across some very old bones. Using radiocarbon dating, researchers determined the partial cranium and fragments of antlers were roughly 12,000 years old.

Deep learning in small and imbalanced biomedical datasets remains fundamentally constrained by unstable optimization and poor generalization. We present the first biomedical implementation of FOSSIL (Flexible Optimization via Sample-Sensitive Importance Learning), a regret-minimizing weighting framework that adaptively balances training emphasis according to sample difficulty. Using softmax-based uncertainty as a continuous measure of difficulty, we construct a four-stage curriculum (Easy-Very Hard) and integrate FOSSIL into both convolutional and transformer-based architectures for Mpox skin lesion diagnosis. Across all settings, FOSSIL substantially improves discrimination (AUC = 0.9573), calibration (ECE = 0.053), and robustness under real-world perturbations, outperforming conventional baselines without metadata, manual curation, or synthetic augmentation. The results position FOSSIL as a generalizable, data-efficient, and interpretable framework for difficulty-aware learning in medical imaging under data scarcity.

Imbalanced and small data regimes are pervasive in domains such as rare disease imaging, genomics, and disaster response, where labeled samples are scarce and naive augmentation often introduces artifacts. Existing solutions such as oversampling, focal loss, or meta-weighting address isolated aspects of this challenge but remain fragile or complex. We introduce FOSSIL (Flexible Optimization via Sample Sensitive Importance Learning), a unified weighting framework that seamlessly integrates class imbalance correction, difficulty-aware curricula, augmentation penalties, and warmup dynamics into a single interpretable formula. Unlike prior heuristics, the proposed framework provides regret-based theoretical guarantees and achieves consistent empirical gains over ERM, curriculum, and meta-weighting baselines on synthetic and real-world datasets, while requiring no architectural changes.

Breakthroughs, discoveries, and DIY tips sent every weekday. More than 180 million years ago, ichthyosaurs ruled the early Jurassic oceans. The carnivorous marine reptiles ranged from the size of a briefcase to larger than a school bus. The biggest of these whale-like creatures were apex predators, hunting ancient fish, ammonites, and even their smaller reptile relatives. As they searched for prey, some may have swum with surprising stealth.

Self-supervised learning has become a key method for training deep learning models when labeled data is scarce or unavailable. While graph machine learning holds great promise across various domains, the design of effective pretext tasks for self-supervised graph representation learning remains challenging. Contrastive learning, a popular approach in graph self-supervised learning, leverages positive and negative pairs to compute a contrastive loss function. However, current graph contrastive learning methods often struggle to fully use structural patterns and node similarities. To address these issues, we present a new method called Fused Gromov Wasserstein Subgraph Contrastive Learning (FOSSIL). Our model integrates node-level and subgraph-level contrastive learning, seamlessly combining a standard node-level contrastive loss with the Fused Gromov-Wasserstein distance. This combination helps our method capture both node features and graph structure together. Importantly, our approach works well with both homophilic and heterophilic graphs and can dynamically create views for generating positive and negative pairs. Through extensive experiments on benchmark graph datasets, we show that FOSSIL outperforms or achieves competitive performance compared to current state-of-the-art methods.

We present a novel technique for online safety verification of autonomous systems, which performs reachability analysis efficiently for both bounded and unbounded horizons by employing neural barrier certificates. Our approach uses barrier certificates given by parameterized neural networks that depend on a given initial set, unsafe sets, and time horizon. Such networks are trained efficiently offline using system simulations sampled from regions of the state space. We then employ a meta-neural network to generalize the barrier certificates to state space regions that are outside the training set. These certificates are generated and validated online as sound over-approximations of the reachable states, thus either ensuring system safety or activating appropriate alternative actions in unsafe scenarios. We demonstrate our technique on case studies from linear models to nonlinear control-dependent models for online autonomous driving scenarios.

Google Assistant vanished on many smartwatches when the Wear OS 3 update arrived, leaving just the Pixel Watch and Samsung's newer Galaxy Watches supporting the feature. Thankfully, you no longer have to switch brands just to talk to Google on your wrist. Fossil is rolling out an update this month that adds Assistant to Gen 6 watches running Wear OS 3. This includes both Fossil's own models as well as counterparts from Diesel, Michael Kors and Skagen, although you'll need to be paired with a phone running standard Android with Google apps (Android Go and many Chinese phones won't count). The functionality will be familiar if you've used either Google or Samsung wristwear.