Physical AI: The next chapter in India’s AI evolution
By Rajesh Subramaniam, CEO & Founder, Embedded Systems
Until recently, the global discussion about AI has been focused on creating larger models, training on bigger data sets, and investing in more data centres.
However, today, as AI moves beyond digital interactions and starts being used in critical spaces such as factories, hospitals, transportation systems, and telecom networks, the conversation has changed. And that shift highlights the challenges that come with this new direction.
Data should no longer be processed at centralised cloud infrastructures. Instead, they must be computed where they are created, allowing for real-time decisions. This need is giving rise to a new phase of innovation called Physical AI, where intelligence is directly embedded into real-world systems and infrastructure.
Physical AI – Its Definition and Demands
In simpler terms, Physical AI is the type of AI that can be embedded in everyday devices. When integrated with AI, these devices...
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