CybAI news - - Page 76

25 Nov

Database Integration with Express.js: How to Integrate MongoDB, MySQL, and PostgreSQL

stp2y0 CommentsNewscoding, community, development, engineering, inclusive, software

In today’s rapidly evolving web development landscape, scalability and performance are paramount. Express.js, a flexible and minimalistic framework for Node.js, is widely used to build web applications due to its speed and simplicity. However, to create dynamic, data-driven applications, Express.js needs to integrate seamlessly with databases. In this article, we’ll explore how to integrate three of the most popular databases—MongoDB, MySQL, and PostgreSQL—with Express.js, providing detailed examples and best practices to ensure efficient and scalable data management. Introduction Express.js has become a go-to framework for building server-side applications with Node.js due to its non-blocking I/O and ease of use. Integrating…

25 Nov

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage

stp2y0 CommentsViral News

arXiv:2411.14618v1 Announce Type: new Abstract: Hydro-generating units (HGUs) play a crucial role in integrating intermittent renewable energy sources into the power grid due to their flexible operational capabilities. This evolving role has led to an increase in transient events, such as startups, which impose significant stresses on turbines, leading to increased turbine fatigue and a reduced operational lifespan. Consequently, optimizing startup sequences to minimize stresses is vital for hydropower utilities. However, this task is challenging, as stress measurements on prototypes can be expensive and time-consuming. To tackle this challenge, we propose an innovative automated approach to optimize the startup parameters…

25 Nov

Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure

stp2y0 CommentsViral News

[Submitted on 31 Oct 2024 (v1), last revised 22 Nov 2024 (this version, v4)] View a PDF of the paper titled Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure, by Xiang Li and 2 other authors View PDF HTML (experimental) Abstract:In this work, we study the generalizability of diffusion models by looking into the hidden properties of the learned score functions, which are essentially a series of deep denoisers trained on various noise levels. We observe that as diffusion models transition from memorization to generalization, their corresponding nonlinear diffusion denoisers exhibit increasing linearity. This discovery leads us…

25 Nov

My husband and I spent $200 at a historic Florida restaurant only accessible by boat. The views were great, but the food was even better.

stp2y0 CommentsRAG models

My husband and I went to Cap's Place, a historic Florida restaurant only accessible by boat.We took a free boat ride to the restaurant, where I enjoyed some of the best seafood I've ever had.I'd recommend Cap's Place to anyone looking for a unique night out in the Fort Lauderdale area.As a lifelong Florida resident, I love visiting under-the-radar spots throughout the state.Recently, I decided to visit Cap's Place Island Restaurant, located just north of downtown Fort Lauderdale. The restaurant, which is listed on the US National Register of Historic Places, opened in 1928 as a restaurant and gambling den.Today,…

25 Nov

GRL-Prompt: Towards Knowledge Graph based Prompt Optimization via Reinforcement Learning

stp2y0 CommentsViral News

arXiv:2411.14479v1 Announce Type: new Abstract: Large language models (LLMs) have demonstrated impressive success in a wide range of natural language processing (NLP) tasks due to their extensive general knowledge of the world. Recent works discovered that the performance of LLMs is heavily dependent on the input prompt. However, prompt engineering is usually done manually in a trial-and-error fashion, which can be labor-intensive and challenging in order to find the optimal prompts. To address these problems and unleash the utmost potential of LLMs, we propose a novel LLMs-agnostic framework for prompt optimization, namely GRL-Prompt, which aims to automatically construct optimal prompts…

25 Nov

Hims & Hers Shares Jump as Trump’s FDA Pick Seen as Major Ally

stp2y0 CommentsRAG models

Hims & Hers Health Inc. shares surged as much as 18% and are on track to close at fresh record after Hunterbrook Media said the company is poised to be a major beneficiary of President-elect Donald Trump’s nomination of Marty Makary to lead the Food and Drug Administration. Source link lol

25 Nov

Thomson Reuters’ CoCounsel redefines legal AI with OpenAI’s o1-mini model

stp2y0 CommentsChat-GPT

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Thomson Reuters launched testing today of a custom version of OpenAI’s newest language model in its CoCounsel legal assistant. The implementation marks the first enterprise customization of the o1-mini model and reveals how large companies are now transforming their artificial intelligence strategies. The media and technology giant has implemented a strategic approach by deploying specialized AI models from OpenAI, Google, and Anthropic, with each optimized for specific legal tasks. Industry analysts believe this strategy, combined with the novel capabilities of o1-mini,…

25 Nov

Enhancing Link Prediction with Fuzzy Graph Attention Networks and Dynamic Negative Sampling

stp2y0 CommentsViral News

[Submitted on 12 Nov 2024 (v1), last revised 22 Nov 2024 (this version, v2)] View a PDF of the paper titled Enhancing Link Prediction with Fuzzy Graph Attention Networks and Dynamic Negative Sampling, by Jinming Xing and 1 other authors View PDF HTML (experimental) Abstract:Link prediction is crucial for understanding complex networks but traditional Graph Neural Networks (GNNs) often rely on random negative sampling, leading to suboptimal performance. This paper introduces Fuzzy Graph Attention Networks (FGAT), a novel approach integrating fuzzy rough sets for dynamic negative sampling and enhanced node feature aggregation. Fuzzy Negative Sampling (FNS) systematically selects high-quality negative…

25 Nov

NASA just released a stunning new image of the Sombrero galaxy captured by the JWST

stp2y0 CommentsNewsJames Webb, james webb telescope, jwst, nasa, news, tomorrow

The James Webb Space Telescope (JWST) is back to once again paint a glorious portrait of the heavens. This time, the powerful telescope , otherwise called Messier 104 or M104. The end result? A gorgeous image that reframes our understanding of that particular region of space.Upon closer inspection using the JWST’s mid-infrared view, the Sombrero galaxy no longer truly resembles its namesake. It looks more like an archery target, complete with a bullseye in the center. That bullseye? It’s actually a supermassive black hole.The sharp resolution offered by Webb’s Mid-Infrared Instrument (MIRI) finally gives us a detailed glimpse of the…

25 Nov

Character.AI Is Hosting Pro-Anorexia Chatbots That Encourage Young People to Engage in Disordered Eating

stp2y0 CommentsChat-GPT

Content warning: this story discusses disordered eating behaviors, including potentially triggering details about weights and calories.The youth-beloved AI chatbot startup Character.AI is hosting pro-anorexia chatbots that encourage users to engage in disordered eating behaviors, from recommending dangerously low-calorie diets and excessive exercise routines to chastising them for healthy weights.Consider a bot called "4n4 Coach" — a sneaky spelling of "ana," which is longstanding online shorthand for "anorexia" — and described on Character.AI as a "weight loss coach dedicated to helping people achieve their ideal body shape" that loves "discovering new ways to help people lose weight and feel great!""Hello," the bot…