What is an Artificial Intelligence Chip ? Everything you need to know
What is Artificial Intelligence Chip ?
Artificial intelligence (AI) chips are
specialized silicon chips, which incorporate AI technology and are used for
machine learning. AI helps to eliminate or minimize the risk to human life in many industry verticals. The need for more efficient systems to solve
mathematical and computational problems is becoming crucial owing to the increase
in volume of the data
Many of the smart/IoT devices you’ll purchase are powered by
some form of Artificial Intelligence (AI)—be it voice assistants, facial recognition cameras,
or even your PC. These don’t work via magic, however, and need something to
power all of the data-processing they do. For some devices that could be done
in the cloud, by vast data centers. Other devices will do all their processing
on the devices themselves, through an AI chip.
The AI processing unit
While
typically GPUs are better than CPUs when it comes to AI processing, they’re not
perfect. The industry needs specialized processors to enable efficient
processing of AI applications, modelling and inference. As a result, chip
designers are now working to create processing units optimized for executing
these algorithms. These come under many names, such as NPU, TPU, DPU, SPU etc.,
but a catchall term can be the AI processing unit (AI PU).
The
AI PU was created to execute machine learning algorithms, typically by
operating on predictive models such as artificial neural networks. They are
usually classified as either training or inference as these processes are
generally performed independently.
Some applications we
already see in the real world:
· 1. Monitoring a system or area from threats like a security system involving real
time facial recognition (IP cams, door cameras, etc.)
2. Chatbots for retail or businesses
that interact with customers
3. Natural language processing for voice
assistants
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