According to AI at Meta, SAM 3 is a newly launched unified AI model that enables detection, segmentation, and tracking of objects across both images and videos. This next-generation model introduces highly requested features such as text and exemplar prompts, allowing users to segment all objects of a specific target category efficiently. The integration of these functionalities supports a wider range of computer vision applications, making it easier for businesses to automate image and video analysis workflows. SAM 3 represents a significant advancement in multimodal AI, offering practical opportunities for industries like retail, security, and autonomous systems to improve object recognition and streamline visual data processing (Source: @AIatMeta on Twitter, 2025-11-19).

According to Yann LeCun (@ylecun), Meta named a previous meeting room after the influential deep learning research paper, 'Gradient-Based Learning Applied to Document Recognition,' reflecting the company's recognition of AI innovation and its foundational impact on computer vision and machine learning applications (Source: Twitter/@ylecun, https://twitter.com/ylecun/status/1959471984397418734). This highlights Meta's commitment to fostering an AI-driven culture, leveraging historic breakthroughs to inspire ongoing development in artificial intelligence, particularly for business solutions like automated document processing and computer vision-driven analytics.