I gave OpenAI’s new ChatGPT Images 2.0 ten impossible prompts to test its limits, and the results are stunning

I tested the new ChatGPT Images 2.0 model with 10 real-world prompts to check how the model performs in different scenarios.

ChatGPT Image 2.0 Signals Visual Reasoning To Solve Real-World Tasks

ChatGPT Image 2.0 suggests that AI image generation is evolving into visual reasoning and verifiable AI, with implications ...

Critical vulnerability in Ruby's standard library ERB:attackers can execute code

The Ruby vulnerability is not easy to exploit, but allows an attacker to read sensitive data, start code, and install ...
IEEE

ZSG-Net: A Zero-Shot Super-Resolution Guided Network for Ultrasound Image Segmentation and Classification

Abstract: Automated ultrasound (US) image analysis is hindered by challenges stemming from low resolution, noise, and non-uniform grayscale distribution, which compromise image quality. While many ...
IEEE

ITJP: Image and Text Joint Prompts for Few-Shot Whole Slide Image Classification

Multiple instance learning has achieved remarkable results in whole slide image (WSI) classification. However, constrained by patient privacy and the scarcity of cancer data, the insufficient quantity ...
VentureBeat

Claude Code's source code appears to have leaked: here's what we know

VentureBeat made with Google Gemini 3.1 Pro Image Anthropic appears to have accidentally revealed the inner workings of one of its most popular and lucrative AI products, the agentic AI harness Claude ...