CYBER NEWS

At the Speed of Light: Powerful AI Can Be Accomplished by Using Photons

A new breakthrough discovery regarding artficial intelligence (AI) was recently introduced in a research paper.

Researchers from George Washington University in the United States discovered that using light rather than electricity for computing can create more powerful AI.




Using Light Instead of Electricity for More Powerful AI

A paper published in the journal Applied Physics Reviews proposes a new method to carry out computations required by a neural network, using light instead of electricity.

This method is based on a photonic tensor core that performs multiplications of matrices in parallel, improving speed and efficiency of current deep learning paradigms.

In other words, the new method is designed to improve the speed and efficiency of machine learning neural networks. Neural networks can be described as a set of algorithms that mimic the human brain. They are designed to recognize patterns. They also interpret sensory data using a kind of machine perception to label or cluster raw input. Simply said, neural networks help us cluster and classify data.

Related:
Intel and Facebook are working together on a new artificial intelligence (AI) chip. Called the Nervana Neural Network Processor (NNP-I).
Intel and Facebook Working on AI Inference Chip Called Nervana

Up until now, machine learning processors have been limited in carrying out complex operations by the power needed to process the data. Complex data requires greater power. Another limitation of neural networks has been the slow transition of electronic data between the processor and the memory.

Fortunately, researchers discovered a way to improve this by using photons within neural network (tensor) processing units (shortly TPUs) to overcome these limitations and create more powerful-efficient artificial intelligence.

As explained by Mario Miscuglio, one of the researchers, the team discovered “that integrated photonic platforms that integrate efficient optical memory can obtain the same operations as a tensor processing unit, but they consume a fraction of the power and have higher throughput“.

Related:
In this article, the role of cannabis machine learning will be discovered and understood towards achievable cannabis sustainability.
The Role of Machine Learning in A Big Cannabis Farm

When opportunely trained, [the platforms] can be used for performing interference at the speed of light,” the researcher added.

Where can the innovative processor be applied? Potential applications of the new technology include 5G and 6G networks. These processors can also be utilized in data centers that perform vast amounts of data processing.

Milena Dimitrova

Milena Dimitrova

An inspired writer and content manager who has been with SensorsTechForum since the beginning. Focused on user privacy and malware development, she strongly believes in a world where cybersecurity plays a central role. If common sense makes no sense, she will be there to take notes. Those notes may later turn into articles! Follow Milena @Milenyim

More Posts

Follow Me:
Twitter

Leave a Comment

Your email address will not be published. Required fields are marked *

Time limit is exhausted. Please reload CAPTCHA.

Share on Facebook Share
Loading...
Share on Twitter Tweet
Loading...
Share on Google Plus Share
Loading...
Share on Linkedin Share
Loading...
Share on Digg Share
Share on Reddit Share
Loading...
Share on Stumbleupon Share
Loading...