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Google Tensor is a series of ARM64-based system-on-chip (SoC) processors designed by Google for its Pixel devices. It was originally conceptualized in 2016, following the introduction of the first Pixel smartphone , though actual developmental work did not enter full swing until 2020.
Google's head of hardware Rick Osterloh explains how the company's first custom designed chip, Tensor, is all about AI.
May 2023 June 2023 October 2023 August 2024 September 2024 ... Google Tensor G4 Processor: Octa core 64 bit ARMv8-A 2× 2.8 GHz Cortex-X1; 2× 2.25 GHz Cortex-A76;
Tensor Processing Unit (TPU) is an AI accelerator application-specific integrated circuit (ASIC) developed by Google for neural network machine learning, using Google's own TensorFlow software. [2] 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 ...
The ARM Cortex-X4 is a high-performance CPU core from Arm, released in 2023 as part of Arm's "total compute solution." [1] It serves as the successor of ARM Cortex-X3.X-series CPU cores generally focus on high performance, and can be grouped with other ARM cores, such as ARM Cortex-A720 or/and ARM Cortex-A520 in a System-on-Chip (SoC).
T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI introduced in 2019. [1] [2] Like the original Transformer model, [3] T5 models are encoder-decoder Transformers, where the encoder processes the input text, and the decoder generates the output text.
Google also extended PaLM using a vision transformer to create PaLM-E, a state-of-the-art vision-language model that can be used for robotic manipulation. [11] [12] The model can perform tasks in robotics competitively without the need for retraining or fine-tuning. [13] In May 2023, Google announced PaLM 2 at the annual Google I/O keynote. [14]
In May 2016, Google announced its Tensor processing unit (TPU), an application-specific integrated circuit (ASIC, a hardware chip) built specifically for machine learning and tailored for TensorFlow. A TPU is a programmable AI accelerator designed to provide high throughput of low-precision arithmetic (e.g., 8-bit ), and oriented toward using ...