Category: Artificial Intelligence

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Google TPU

The Tensor Processing Unit (TPU) is a neural processing unit (NPU) application-specific integrated circuit (ASIC) developed by Google for neural network machine learning.[2] Tensorflow, Jax, and PyTorch are supported frameworks for TPU.[3] Google began using TPUs internally in 2015, and in 2018 made them available for third-party use, both as part of its cloud infrastructure and by offering a smaller version of the chip for sale. Currently, Google Cloud generates product revenues primarily from the sale of TPU systems.

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Project Suncatcher

Google has sent its AI chips into space aboard a prototype satellite for Project Suncatcher.

Built with Planet, the spacecraft launched on SpaceX’s Transporter-18 mission on October 1. Google says contact is established and the satellite is operating normally. The experiment will study how its TPU chips handle radiation and temperature extremes.

It is an early step toward exploring future AI data centers powered by sunlight in orbit, with long-term performance and commercial feasibility still to be established.

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Arduino UNO Q

The Arduino UNO Q 2GB is the gateway to high-performance hybrid computing. Designed for developers and industries that require the perfect balance between edge intelligence and real-time control, this board eliminates the gap between high-level software and hardware reliability. By pairing a Qualcomm® Dragonwing™ MPU with an STM32U585 MCU, the UNO Q 2GB provides a streamlined, cost-effective platform for dedicated AI and IoT applications.