You may be using the wrong plates. 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 ideal dinner party size is somewhere between five and eight guests. Breakthroughs, discoveries, and DIY tips sent six days a week. You don't have to be Martha Stewart to host a successful dinner party .

Kenya's Sabastian Sawe has become the first man to run a marathon in under two hours, winning the London Marathon in 1:59:30. Ethiopia's Tigst Assefa defended her London Marathon crown on Sunday, breaking her own world record. The 31-year-old, who has never lost a marathon, smashed the world record by 65 seconds. Yomif Kejelcha of Ethiopia stayed on Sawe's heels for most of the 42.195km course before fading down the final stretch to take second in his marathon debut with 1:59:41, while Jacob Kiplimo of Uganda won bronze in 2:02:28. All three finished under Kiptum's previous record time.

We initiate an investigation into the optimization properties of next-token prediction (NTP), the dominant training paradigm for modern language models. Specifically, we study the structural properties of the solutions selected by gradient-based optimizers among the many possible minimizers of the NTP objective. By framing NTP as cross-entropy minimization across \emph{distinct} contexts, each tied with a \emph{sparse} conditional probability distribution across a finite vocabulary of tokens, we introduce ``NTP-separability conditions'' that enable reaching the data-entropy lower bound. With this setup, and focusing on linear models with fixed context embeddings, we characterize the optimization bias of gradient descent (GD): Within the data subspace defined by the sparsity patterns of distinct contexts, GD selects parameters that equate the logits' differences of in-support tokens to their log-odds. In the orthogonal subspace, the GD parameters diverge in norm and select the direction that maximizes a margin specific to NTP. These findings extend previous research on implicit bias in one-hot classification to the NTP setting, highlighting key differences and prompting further research into the optimization and generalization properties of NTP, irrespective of the specific architecture used to generate the context embeddings.

We propose a novel neural network-based approach to modeling protein dynamics using an implicit representation of a protein's surface in 3D and time. Our method utilizes the zero-level set of signed distance functions (SDFs) to represent protein surfaces, enabling temporally and spatially continuous representations of protein dynamics. Our experimental results demonstrate that our model accurately captures protein dynamic trajectories and can interpolate and extrapolate in 3D and time. Importantly, this is the first study to introduce this method and successfully model large-scale protein dynamics. This approach offers a promising alternative to current methods, overcoming the limitations of first-principles-based and deep learning methods, and provides a more scalable and efficient approach to modeling protein dynamics. Additionally, our surface representation approach simplifies calculations and allows identifying movement trends and amplitudes of protein domains, making it a useful tool for protein dynamics research. Codes are available at https://github.com/Sundw-818/DSR,

The tech titans are slated to duke it out in court. The tech titans are slated to duke it out in court. Musk and Altman's bitter feud over OpenAI to be laid bare in court Tesla chief believes Altman broke company's founding agreement - and legal battle promises to be explosive T he bitter rivalry between two of the tech world's most powerful men arrives in court this week, as Elon Musk's lawsuit against Sam Altman and OpenAI heads to trial in Oakland, California. The case is set to feature some of the biggest names in Silicon Valley, and its outcome could affect the course of the AI boom. Musk's suit, filed in 2024, focuses on the formative years of OpenAI when he, Altman and others co-founded the artificial intelligence company as a nonprofit with a grand purpose.

A major obstacle to the advancements of machine learning models in marine science, particularly in sonar imagery analysis, is the scarcity of AI-ready datasets. While there have been efforts to make AI-ready sonar image dataset publicly available, they suffer from limitations in terms of environment setting and scale. To bridge this gap, we introduce $\texttt{SeafloorAI}$, the first extensive AI-ready datasets for seafloor mapping across 5 geological layers that is curated in collaboration with marine scientists. We further extend the dataset to $\texttt{SeafloorGenAI}$ by incorporating the language component in order to facilitate the development of both $\textit{vision}$- and $\textit{language}$-capable machine learning models for sonar imagery. The dataset consists of 62 geo-distributed data surveys spanning 17,300 square kilometers, with 696K sonar images, 827K annotated segmentation masks, 696K detailed language descriptions and approximately 7M question-answer pairs. By making our data processing source code publicly available, we aim to engage the marine science community to enrich the data pool and inspire the machine learning community to develop more robust models. This collaborative approach will enhance the capabilities and applications of our datasets within both fields.

Ductless AC systems get smart tech features--and the growing pains that come with them. App works well, with voice assistant support. Ductless mini-split air-conditioners have risen in popularity dramatically in recent years. One study now pegs their domestic market share at more than 40 percent compared to larger-scale HVAC units--and the smaller systems are even more popular in Asia and Europe than in the US. Mini-splits make a compelling climate control solution for a number of reasons.

What are Russia's gains from the Iran war? 'We are not losers; we are winners' Ukrainian officials say Russian attacks in several regions have killed at least five people and damaged a ship in the port of Odesa - as Moscow claimed to have intercepted more than 200 Ukrainian drones. A Russian drone attack killed two men on Saturday in Ukraine's northeastern Sumy region, according to Governor Oleh Hryhorov. He said civilians were hit in Bilopil close to the Russian border. In the southern region of Kherson, Governor Oleksandr Prokudin said Russian shelling wounded seven people. Further east, Russian forces launched more than 700 attacks on 50 settlements in the Zaporizhia region over the past 24 hours, killing two people and injuring four, according to Governor Ivan Fedorov.

When you purchase through links in our articles, we may earn a small commission. Get Microsoft Office 2024 Home & Business plus an 8-course training bundle for hundreds off. Many people use Microsoft Office every day--but not always to its full potential. This bundle pairs Microsoft Office 2024 Home & Business with an 8-course training program designed to close that gap. That includes topics like Excel formulas, workflow efficiency, and even how to integrate tools like ChatGPT into your daily work.