Author Name: Desrina R
 

Category Name: Science and Technology

Description:

A team of engineers has created hardware that can learn skills using a type of AI that currently runs on software platforms. Sharing intelligence features between hardware and software would offset the energy needed for using AI in more advanced applications such as self-driving cars or discovering drugs.

Software is taking on most of the challenges in AI. If you could incorporate intelligence into the circuit components in addition to what is happening in software, you could do things that simply cannot be done today. AI hardware development is still in early research stages. Researchers have demonstrated AI in pieces of potential hardware, but haven't yet addressed AI's large energy demand.

As AI penetrates more of daily life, a heavy reliance on software with massive energy needs is not sustainable, Researcher said. If hardware and software could share intelligence features, an area of silicon might be able to achieve more with a given input of energy.

Researcher team is the first to demonstrate artificial "tree-like" memory in a piece of potential hardware at room temperature. Researchers in the past have only been able to observe this kind of memory in hardware at temperatures that are too low for electronic devices.

The hardware that  team developed is made of a so-called quantum material. These materials are known for having properties that cannot be explained by classical physics. Software uses tree-like memory to organize information into various  branches, making that information easier to retrieve when learning new skills or tasks.

The strategy is inspired by how the human brain categorizes information and makes decisions. Humans memorize things in a tree structure of categories. We memorize 'apple' under the category of 'fruit' and 'elephant' under the category of 'animal,' for example,Mimicking these features in hardware is potentially interesting for brain-inspired computing.

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Media Contact:

Desrina R
Journal Manager
American journal of computer science and information technology