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Synaptics

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  1. 1
    Google and Synaptics unveil AI chips for wearables▼Google and Synaptics unveil new AI chips for wearables and industrial devices, powered by open-source Coral technology✉newsTechnologySoftware13 h ago

    Google and Synaptics have announced new AI chips designed for wearables and industrial devices, built on Google's open-source Coral edge AI technology. The partnership aims to bring on-device machine learning to smaller, lower-power hardware, letting manufacturers run AI workloads locally without cloud connectivity. The move extends Google's edge computing push into consumer and industrial markets.

  2. 2
    Synaptics Launches Astra SR200 Chips With 400 GOPS▼Synaptics Astra SR200: 400 GOPS Chips Debut [2026]✉newsTechnologySemiconductors18 h ago

    Synaptics has debuted its Astra SR200 processor line, chips delivering 400 GOPS (giga-operations per second) of AI processing power. The announcement positions the company to compete in the growing edge-AI semiconductor market, targeting embedded and IoT applications. Industry watchers are discussing how the new chips will fit into Synaptics' broader Astra family and what the performance level means for edge computing design.

  3. 3
    Synaptics Unveils Astra SR200 AI Chips●Synaptics Astra SR200 AI Chips: Specs and Availability✉newsTechnologySemiconductors3 h ago

    Synaptics has announced its Astra SR200 line of AI processor chips, with new details emerging about their specifications and expected availability. The SR200 series targets edge AI applications, expanding Synaptics' Astra portfolio of processors designed to bring artificial intelligence capabilities to connected devices. Coverage so far has focused on the technical specs and rollout timing.

  4. 4
    Google Teases Synaptics Edge AI Chip With 40% Power Cut▼Google Teases Synaptics Edge AI Chip, Cuts Power 40% [2026]✉newsTechnologyAI2 d ago

    Google has teased an edge AI chip developed with Synaptics, said to cut power consumption by 40%. The 2026 announcement points to more efficient on-device AI processing, a growing priority as companies push AI features onto phones, sensors and other edge devices without relying on data centers. Details on specifications and availability remain limited so far.