Multimodal large models achieve three-dimensional perception and high-precision reasoning by simultaneously processing and understanding different types of data modalities. For example, when a report ...

In traditional multi-modal AI architectures, text typically exists as a sequence of discrete logical symbols, while images are composed of continuous pixels. This opposing structure poses significant ...

Recent years have witnessed AI evolve beyond single-mode systems to generate multiple streams of information for multiple ...

Jordan Miller discusses the evolution of the Clojure ecosystem, from Rich Hickey's initial vision tackling complexity to its current status as a mature enterprise solution. He explains key ...

Multimodal AI represents a fundamental shift in how financial systems process information. Rather than analyzing text, images or voice data separately, these systems create a unified intelligence ...

Microsoft has introduced a new AI model that, it says, can process speech, vision, and text locally on-device using less compute capacity than previous models. Innovation in generative artificial ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Just in time for Halloween 2024, Meta has ...

As theorization of multimodal text processes and productions continues to outpace classroom practices, research that contributes understandings of how composers are living out multimoda processes is ...