In recent years, foundation Vision-Language Models (VLMs), such as CLIP [1], which empower zero-shot transfer to a wide variety of domains without fine-tuning, have led to a significant shift in ...

Making machines respond in ways similar to humans has been a relentless goal of AI researchers. To enable machines to perceive and think, researchers propose a series of related tasks, such as face ...

Crucially, these tests are generated by custom code and don’t rely on pre-existing images or tests that could be found on the public Internet, thereby “minimiz[ing] the chance that VLMs can solve by ...

Imagine a world where your devices not only see but truly understand what they’re looking at—whether it’s reading a document, tracking where someone’s gaze lands, or answering questions about a video.

AI is agnostic, thankfully. As software developers now create the new breed of Artificial Intelligence (AI) enriched applications that we will use to drive our lives, we can be perhaps thankful of the ...