Interested in AI image generators but don't know where to start? Here's everything I've learned using OpenAI's Dall-E, Canva ...

Journalists have warned of a dangerous legal precedent that could threaten free speech in India after a court ordered a scrubbing of content criticizing a major business conglomerate.

Abstract: Real-time near-infrared (NIR) face alignment holds significant importance across various domains, such as security, healthcare, and augmented reality. However, existing face alignment ...

According to a UN survey, most Afghans consider girls' education important. Despite the Taliban banning them from attending ...

The high-quality part of the content will begin with the preliminary preparations, introducing how to clarify the goals and ...

Katelyn is a writer with CNET covering artificial intelligence, including chatbots, image and video generators. Her work explores how new AI technology is infiltrating our lives, shaping the content ...

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+ ...

Each test case in Paircomp contains two similar prompts with subtle differences. By comparing the accuracy of the images generated by the model for each prompt, we evaluate whether the model has ...

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 ...

Currently, the most dominant approach to establishing language-image alignment is to pre-train (always from scratch) text and image encoders jointly through contrastive learning, such as CLIP and its ...

Abstract: With the extensive use of multisensors in uncrewed aerial vehicles (UAVs), multimodality information processing has become the research focus. In academic research pertaining to object ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...