multimodal

to preparing videos for machine learning/deep learning. As a consequence of the scale and computational cost of video data, it's vital that it's processed in as efficient a way possible to your use...

, the usual “text in, text out” paradigm will only take you to date. Real applications that deliver actual value should give you the chance to look at visuals, reason through complex problems, and produce...

✨ Overview Traditional machine learning (ML) perception models typically deal with specific features and single modalities, deriving insights solely from natural language, speech, or vision evaluation. Historically, extracting and consolidating information from multiple modalities has...

of this series on multimodal AI systems, we’ve moved from a broad overview into the technical details that drive the architecture. In the primary article, I laid the muse by showing how layered, modular design...

1. It with a Vision While rewatching , I discovered myself captivated by how deeply JARVIS could understand a scene. It wasn’t just recognizing objects, it understood context and described the scene in natural...

Google has expanded its official launch of the 'Geminai 2.5' model group and commenced to expand its influence within the enterprise artificial intelligence (AI) market. Google announced on the seventeenth (local time) that it's going...

In May 2025, Enkrypt AI released its Multimodal Red Teaming Report, a chilling evaluation that exposed just how easily advanced AI systems will be manipulated into generating dangerous and unethical content. The report focuses...

Details about Deep Chic's latest reasoning model 'Deep Chic-R2', which was within the early stage of launch, is floating on the Web. If it is understood, Deep Chic is prone to be shocked by...