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An AI accelerator, deep learning processor or neural processing unit (NPU) is a class of specialized hardware accelerator [1] or computer system [2] [3] designed to accelerate artificial intelligence (AI) and machine learning applications, including artificial neural networks and computer vision.
Qualcomm Zeroth Neural processing unit, another entry in the emerging class of sensor/AI oriented chips. [ 8 ] All models of Intel Meteor Lake processors have a Versatile Processor Unit (VPU) built-in for accelerating inference for computer vision and deep learning.
DIGIC II is a single chip system introduced in 2004, [2] unlike the first DIGIC, that allowed for more compact designs.DIGIC II also improved upon the original by adding a larger buffer and increasing processing speed.
In 2019, Tesla shifted to a computer using a custom "FSD Chip" designed by Tesla, branded as Hardware 3. Starting in 2021, Tesla stopped installing the radar sensor in new vehicles, and the ADAS was updated to drop radar support. In 2022, Tesla announced it also would drop support for the ultrasonic sensors, moving the ADAS to an all-visual system.
The Coral Accelerator Module is a multi-chip module featuring the Edge TPU, PCIe and USB interfaces for easier integration. The Coral Dev Board Mini is a smaller SBC featuring the Coral Accelerator Module and MediaTek 8167s SoC. [52] [53]
45.0 megapixel full-frame backside-illuminated stacked sensor [3] DIGIC X processor with new DIGIC Accelerator chip; 8K raw video recording at up to 59.94 fps [3] 100% autofocus coverage [3] 5,850 user-selectable autofocus points for still images [3]
Blackwell is a graphics processing unit (GPU) microarchitecture developed by Nvidia as the successor to the Hopper and Ada Lovelace microarchitectures.. Named after statistician and mathematician David Blackwell, the name of the Blackwell architecture was leaked in 2022 with the B40 and B100 accelerators being confirmed in October 2023 with an official Nvidia roadmap shown during an investors ...
a new ‘DIGIC Accelerator’ image processor that supplements the existing DIGIC X processor; a new CMOS sensor; In-Camera Upscaling DIGIC Accelerator processing now enables in-camera upscaling using deep learning to double the number of pixels horizontally and vertically from 24MP to 96MP image in about 10 seconds.