Welcome to the future, where the vibes are bad in almost every meaningful respect — but where you do, at the very least, get to “vibe code,” or use an AI model to write code and even build entire ...

BetMGM bonus code CBSSPORTS gets fans in on Week 2 NFL action because it give you up to $1,500 in bonus bets if your first bet loses or $150 in bonus bets if your first bet of at least $10 wins. The ...

Snapchat is launching a new Lens that lets users create and edit images using a text-to-image AI generator, the company told TechCrunch exclusively. The new “Imagine Lens” is available to Snapchat+ ...

The company has since taken down the image of the accused killer. Fast fashion giant Shein is conducting an investigation of its internal processes after using the likeness of Luigi Mangione to model ...

This repository contains the code implementation for the paper RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation Models, developed based on the MMSegmentation project. The current ...

GitHub Copilot Pro now supports GPT-5 in VS Code. A 30-day trial lets you test premium models for free. Add your OpenAI key to bypass Copilot restriction. First, open VS Code. Click the little Copilot ...

Siqi Zhang*, Qizhe Zhang*, Shanghang Zhang*†, Xiaohong Liu*, Jingkun Yue*, Ming Lu, Huihuan Xu, Jiaxin Yao, Xiaobao Wei, Jiajun Cao, Xiang Zhang, Ming Gao, Jun Shen ...

A pandemic-era program aimed to facilitate hotel and office to affordable housing conversions. After a slow start, and numerous financing and design challenges, its first project is opening in Queens.

Anthropic says its rolling out new weekly rate limits for Claude to curb usage among subscribers who are running its AI coding tool, Claude Code, “continuously in the background, 24/7.” Anthropic says ...

A water management district in Florida’s Everglades is using robot rabbits to help monitor and eventually eliminate its ever-growing population of invasive Burmese pythons that have wreaked havoc on ...

Abstract: The success of deep learning in 3D medical image segmentation hinges on training with a large dataset of fully annotated 3D volumes, which are difficult and time-consuming to acquire.