The Energy Demands of Artificial Intelligence and Potential Solutions

By
Dr. Santiago Vasquez
1 min read

News Content

Artificial intelligence (AI) presents a significant energy demand due to the massive data it requires, akin to transporting billions of books between memory and processor chips, consuming substantial electricity. However, efforts have emerged to address this energy challenge by designing chips capable of processing data where it's stored. This approach is likened to doing work directly at the library rather than bringing the books home. Stanford University professor, Philip Wong, and expert in memory chips, highlights the potential of this approach. The quest for more energy-efficient AI technologies is driving interest in innovative chip designs.

You May Also Like

This article is submitted by our user under the News Submission Rules and Guidelines.The cover photo is computer generated art for illustrative purposes only; not indicative of factual content. If you believe this article infringes upon copyright rights, please do not hesitate to report it by sending an email to us. Your vigilance and cooperation are invaluable in helping us maintain a respectful and legally compliant community.

Subscribe to our Newsletter

Get the latest in enterprise business and tech with exclusive peeks at our new offerings