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 ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Today, Microsoft’s Az u re AI team dropped ...

Meta’s Llama 3.2 has been developed to redefined how large language models (LLMs) interact with visual data. By introducing a groundbreaking architecture that seamlessly integrates image understanding ...

Large language models, or LLMs, are the AI engines behind Google’s Gemini, ChatGPT, Anthropic’s Claude, and the rest. But they have a sibling: VLMs, or vision language models. At the most basic level, ...

Apply Nonlinear Support Vector Machines (NSVMs) and Fourier transforms to analyze and process visual data. Use probabilistic reasoning and implement Recurrent Neural Networks (RNNs) to model temporal ...

MIT researchers discovered that vision-language models often fail to understand negation, ignoring words like “not” or “without.” This flaw can flip diagnoses or decisions, with models sometimes ...

Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development of computational models inspired by the brain's layered organization, also ...

Chinese AI startup Zhipu AI aka Z.ai has released its GLM-4.6V series, a new generation of open-source vision-language models (VLMs) optimized for multimodal reasoning, frontend automation, and ...

IBM has recently released the Granite 3.2 series of open-source AI models, enhancing inference capabilities and introducing its first vision-language model (VLM) while continuing advancements in ...