Texas A&M University engineers work to create “Super-Turing AI,” which operates more efficiently by learning on the fly.
Texas A&M University engineers work to create “Super-Turing AI,” which operates more efficiently by learning on the fly.
Artificial Intelligence (AI) can perform complex calculations and analyze data faster than any human, but to do so requires enormous amounts of energy. The human brain is also an incredibly powerful computer, yet it consumes very little energy.
As technology companies increasingly expand, a new approach to AI’s “thinking,” developed by researchers including Texas A&M University engineers, mimics the human brain and has the potential to revolutionize the AI industry.
Dr. Suin Yi, assistant professor of electrical and computer engineering at Texas A&M’s College of Engineering, is on a team of researchers that developed “Super-Turing AI,” which operates more like the human brain. This new AI integrates certain processes instead of separating them and then migrating huge amounts of data like current systems do.
Read more at Texas A&M University
Photo Credit: DeltaWorks via Pixabay
