Environment Animals Wildlife Birds Help name Jackie and Shadow's new eaglets Submissions are open until Sunday, April 26 at 11:59 p.m. PDT. 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. Chick 1 hatched on April 4 and Chick 2 followed on April 5. Breakthroughs, discoveries, and DIY tips sent six days a week. Internet-famous eagle couple Jackie and Shadow have two new chicks in need of names. For a small donation, you can submit your name suggestion on the Friends of Big Bear Valley (FOBBV) website .

The USS Cassin Young is one of the last of the war's Fletcher-class destroyers. 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 USS Cassin Young is one of four remaining Fletcher-class destroyers still afloat. Breakthroughs, discoveries, and DIY tips sent six days a week. Although its name may not sound immediately familiar, the over 360-foot-long ship's recognizable silhouette remains a hallmark example of World War II imagery.

Researchers hope the experiments will pave the way for people with paralysis to explore virtual worlds or more intuitively control electric wheelchairs in this one. Peter Janssen at KU Leuven in Belgium and colleagues implanted three rhesus macaque ( Macaca mulatta) monkeys with BCIs. Crucially, each animal got three implants, each consisting of 96 electrodes, positioned in the primary motor, dorsal and ventral premotor cortex. The first area is commonly used in BCI research and relates to physical movement, but the latter two are thought to be involved in planning movement in a higher, more abstract way. Electrical signals from the implants were then interpreted by an AI model and used to control VR avatars as the monkeys watched a 3D monitor.

New Scientist recommends Jamie Bartlett's insightful How to Talk to AI I don't use AI chatbots, so you might wonder what use I could make of Jamie Bartlett's book, . Well, this plain-speaking guide makes the compelling case that, despite their popularity, we don't know how to speak to chatbots properly. Few of us have had adequate training on getting the most out of AI - or on how to protect ourselves from it . That's where it can all go very wrong, sending us down misinformation rabbit holes or fostering emotional dependence. Mastering the art of prompting a chatbot is about more than AI, says Bartlett.

Surprising study reveals peaceful succession is possible. 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. Naked mole-rats are among the only eusocial mammals. Breakthroughs, discoveries, and DIY tips sent six days a week. Queen bees may get most of the glory, but there is another queen of the animal kingdom who is the linchpin of her entire society.

The poached ingredients worth $1.3 million were seized in a nationwide hunt. 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. Shark fins remain a prized delicacy despite conservation efforts and education. Breakthroughs, discoveries, and DIY tips sent six days a week. The United States Fish and Wildlife Service (FWS) recently exposed a major international smuggling operation orchestrated across at least three cities around the country.

Environment Animals Wildlife Sharks Megalodon set to become Maryland's state shark The Bay State is now home to the first state shark in the country. 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 bill now goes to the governor's desk. Breakthroughs, discoveries, and DIY tips sent six days a week. The megalodon () is another step closer to becoming the first state shark in the United States.

Why do dogs tilt their heads? It's all about being able to listen and process information better. 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. There are countless TikTok videos that go like this: Someone says something to their dog, the dog's head swings to one side, with ears up and eyes on the owner.

The sequential nature of autoregressive next-token prediction imposes a fundamental speed limit on large language models. While continuous flow models offer a path to parallel generation, they traditionally demand expensive iterative integration. Flow Maps bypass this bottleneck by compressing generative trajectories into single-step mappings, theoretically enabling the generation of full text sequences from noise in a single forward pass. However, standard formulations rely on Euclidean regression losses that are geometrically ill-suited for discrete data. In this work, we resolve this conflict with Discrete Flow Maps, a framework that reconciles trajectory compression with the geometry of the probability simplex. We recast standard flow map training for the discrete domain, aligning the training dynamics with the discrete nature of language. Empirically, this strict geometric alignment allows our method to surpass previous state-of-the-art results in discrete flow modeling.

The No-U-Turn Sampler (NUTS) is the computational workhorse of modern Bayesian software libraries, yet its qualitative and quantitative convergence guarantees were established only recently. A significant gap remains in the theoretical comparison of its two main variants: NUTS-mul and NUTS-BPS, which use multinomial sampling and biased progressive sampling, respectively, for index selection. In this paper, we address this gap in three contributions. First, we derive the first necessary conditions for geometric ergodicity for both variants. Second, we establish the first sufficient conditions for geometric ergodicity and ergodicity for NUTS-mul. Third, we obtain the first mixing time result for NUTS-BPS on a standard Gaussian distribution. Our results show that NUTS-mul and NUTS-BPS exhibit nearly identical qualitative behavior, with geometric ergodicity depending on the tail properties of the target distribution. However, they differ quantitatively in their convergence rates. More precisely, when initialized in the typical set of the canonical Gaussian measure, the mixing times of both NUTS-mul and NUTS-BPS scale as $O(d^{1/4})$ up to logarithmic factors, where $d$ denotes the dimension. Nevertheless, the associated constants are strictly smaller for NUTS-BPS.