Nand Kishor Contributor

Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... ...

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Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc...

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Soon every gadget is going to have a special chip for AI

Feb 14, 2018 | 5838 Views

Companies like Apple, Samsung, Qualcomm and Nvidia make their own computer chips, but they sometimes get illustrations from other company, such as Arm.

Arm, which is considered to be one of the most important chip designer in the world because of its influence on the giant tech companies, is now betting big on artificial intelligence. Arm recently announced a pair of chip designs for artificial intelligence called Project Trillium.

A gadget like a smart light or an early iPhone may have a single Arm chip inside. The chip is the brain of the device, running the operating system and responding to commands. These central chips weren't designed to run AI software, like a smart security camera that can analyze video to see who's knocking on the door. 

So, Arm is making two different chips that are specially built to run AI operations. One is named Arm Machine Learning processor, which is apt for any AI operation from translation to facial recognition. The other one is the Arm Object Detection processor, which finds interesting bits in images and passes them onto the ML processor for processes such as face recognition.

Jem Davies, VP of machine learning at Arm mentions Quartz the specialty about these processor designs and the need for scaling up. It means they can be used in Internet of Things (IoT) devices or modified and enlarged for use in datacenters.

Amazon, Google, Apple, Intel, Qualcomm, and a host of startups have all started designing their own AI-specific chips, signaling that the best software and hardware engineers are looking towards specialty chips to enable AI functions. Arm's approach can be taken as a sign that the hardware has arrived. It is no longer niche or special to have an AI-specific chip for a gadget, because it is very easy to buy designs from Arm.

Still, Arm doesn't predict this technology to be mostly used in smartphones. Instead, the most growth will come from IoT devices and internet-connected cameras.

Source: HOB