The ambiguity in medical imaging can present major challenges for clinicians who are trying to identify disease. For instance ...

Abstract: Pixel dependency modeling from tampered images is pivotal for image forgery localization. Current approaches predominantly rely on Convolutional Neural Networks (CNNs) or Transformer-based ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Abstract: In intelligent transportation systems (ITSs), real-time vehicle detection based on aerial images is crucial for effective traffic ... remains technically challenging, as existing models ...

The experiment was conducted at the Anhui Quantum Computing Engineering Research ... Fine-tuning is the process of taking a pre-trained language model and adapting it to perform better on specific ...

Okta CEO Todd McKinnon told BI the idea that there will be fewer software engineering jobs is "laughable." He said he expects there to be more demand for software engineers in five years than ...

but transmits it securely and encrypted back to either the equipment manufacturers or process control setup software. With the rise of AI, we also invited one of our partners, Lavorro, to present how ...

Midjourney has launched its highly anticipated V7 model ... over image generation, the new GPT-4o image generation mode enables users to directly manipulate images during the creation process.

The emergence of artificial intelligence (AI) is transforming the software engineering domain in ways ... By automating the code review process, AI tools can rapidly uncover potential issues ...