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Home DeFi Metaverse

rewrite this title New Artificial Intelligence Chip Introduced

MetaversePlanet by MetaversePlanet
November 11, 2025
in Metaverse
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rewrite this title New Artificial Intelligence Chip Introduced
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rewrite this content using a minimum of 1000 words and keep HTML tags

A new AI chip can perform real-time voice translation, dubbing, and screen description directly on the device, without the need for an internet connection. It also offers ultra-low latency and privacy.

Broadcom has announced the development of a new Artificial Intelligence chip that performs real-time voice translation directly on the device. This new chipset, developed in collaboration with CAMB.AI, can perform voice translation, dubbing, and screen content description without needing a cloud connection. This feature aims to both increase accessibility and offer significant advantages in terms of privacy and performance.

Revolution in Translation

Because the new AI chip performs all processes locally on the device, it promises ultra-low latency and enhanced privacy. Since data is not sent to the cloud, wireless bandwidth usage is also significantly reduced. This allows for much faster translation and description without being dependent on an internet connection.

Another notable aspect of the technology is the ability to audibly describe visual content. The company prepared a demo using a scene from the movie “Ratatouille” to showcase this feature. The AI audibly narrates what is happening in the scene in various languages while simultaneously displaying the text translation on the screen. This feature could offer a major accessibility advantage for visually impaired users.

In the Testing Phase

Broadcom and CAMB.AI state that this new AI chip can perform on-device translation in over 150 languages. It has not yet been announced which devices it will be used in or when it will be launched. Furthermore, Broadcom and CAMB.AI state that the technology is still in the testing phase. Since the current demo was conducted on a controlled sample, the performance and accuracy in real-world scenarios are not yet clear.

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