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Ambient Scientific puts AI compute inside memory, eeNews Europe reports

eeNews Europe describes Ambient’s DigAn architecture as embedding analogue computing directly inside SRAM memory, aiming to reduce the energy spent moving data between memory and processor.

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1 Source, 23d ago, first seen 23d ago

TLDR

eeNews Europe reports that Ambient Scientific’s DigAn architecture embeds analogue computing inside SRAM memory for AI processing on devices rather than in the cloud. Ambient’s GPX10 targets battery-powered applications, including wearables, smart home devices and industrial predictive maintenance. According to eeNews Europe, Ambient claims a 100-fold improvement in power, performance and area compared with conventional 32-bit microcontrollers.

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1 Source, first seen 23d ago

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Combined views

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1 Source, first seen 23d ago

1 likes1 comments

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1 Source

@eeNewsEuropeWhat if AI could make decisions directly on a device instead of relying on the cloud? 🧠 Ambient Scientific is taking a different approach to edge AI with its DigAn analogue in-memory compute architecture, embedding analogue compute directly inside SRAM to reduce the energy spent moving data between memory and processor. Its GPX10 targets battery-powered applications, including wearables, smart home devices, and industrial predictive maintenance, with Ambient claiming a 100-fold improvement in power, performance, and area compared with conventional 32-bit microcontrollers. Could bringing more AI processing directly to the edge change how we design connected devices? Read the full interview on eeNews Europe: https://www.eenewseurope.com/en/ambient-scientific-frees-ai-from-the-cloud-with-analogue-in-memory-compute-architecture/23d
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    1 Source

    @eeNewsEuropeWhat if AI could make decisions directly on a device instead of relying on the cloud? 🧠 Ambient Scientific is taking a different approach to edge AI with its DigAn analogue in-memory compute architecture, embedding analogue compute directly inside SRAM to reduce the energy spent moving data between memory and processor. Its GPX10 targets battery-powered applications, including wearables, smart home devices, and industrial predictive maintenance, with Ambient claiming a 100-fold improvement in power, performance, and area compared with conventional 32-bit microcontrollers. Could bringing more AI processing directly to the edge change how we design connected devices? Read the full interview on eeNews Europe: https://www.eenewseurope.com/en/ambient-scientific-frees-ai-from-the-cloud-with-analogue-in-memory-compute-architecture/23d
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