Integrating natural language understanding with image perception has led to the development of large vision language models (LVLMs), which showcase remarkable reasoning capabilities. Despite their progress, LVLMs often encounter challenges in accurately anchoring...

In artificial intelligence, integrating multimodal inputs for video reasoning stands as a frontier, challenging yet ripe with potential. Researchers increasingly focus on leveraging diverse data types – from visual frames and audio snippets to more complex 3D point...

The progress and development of artificial intelligence (AI) heavily rely on human evaluation, guidance, and expertise. In computer vision, convolutional networks acquire a semantic understanding of images through extensive labeling provided by experts, such as...

There has been a recent uptick in the development of general-purpose multimodal AI assistants capable of following visual and written directions, thanks to the remarkable success of Large Language Models (LLMs). By utilizing the impressive reasoning capabilities of...

The advent of large language models (LLMs) tailored for specific fields represents a significant leap forward. LLMs have been making strides in various applications. Yet, the domain of chemistry, with its unique challenges and requirements, has long awaited a model...

We thank Kai Buntrock, the Managing Director at Autarq GmbH, for joining our interview series with leaders in the renewable energy sector. In the interview, Kai shares insights into how Autarq is revolutionizing the integration of solar technology with architectural...