AI systems are progressing toward emulating human cognition by enabling real-time interactions with dynamic environments. Researchers working in AI aim to develop systems that seamlessly integrate multimodal data such as audio, video, and textual inputs. These can have applications in virtual assistants, adaptive environments, and continuous real-time analysis by mimicking human-like perception, reasoning, and memory. […]
The post InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal AI System for Long-Term Streaming Video and Audio Interactions appeared first on MarkTechPost.
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