Page 3 - Intelligent Computing News Today

During a routine visit with the medical oncologist, a cancer patient brings up a new symptom that could be a side effect of cancer treatment.

Editors note: The applications of artificial intelligence — AI — are growing exponentially and will continue to do so as the technology advances even more.

The so-called photonic neural network systems, which are quick and energy-efficient, are particularly beneficial for dealing with huge amounts of data.

Data centers that run ChatGPT, Bing, and Bard consume huge amounts of water, but tech companies reported double-digit spikes in water use before these chatbots even existed.

The U.S. government is getting serious about understanding A.I., but it's limiting who's in the conversation and what the public will find out.

Numenta has researched the brain for 17 years, and now it finally has a product that it hopes can make AI up to 100 times more efficient.

A multidisciplinary research team at the University of Tokyo, under the direction of Hiroaki Shinkawa created an extended photonic reinforcement learning scheme that progresses from the static bandit issue to a more difficult dynamic environment.

The infrastructure is designed to address the computing power challenges associated with large-scale model computing.

Evolutionary reinforcement learning is an exciting frontier in machine learning, combining the strengths of two distinct approaches: reinforcement learning and evolutionary computation. In evolutionary reinforcement learning, an intelligent agent learns optimal strategies by actively exploring different approaches and receiving rewards for successful performance. This innovative paradigm combines reinforcement learning's trial-and-error learning with evolutionary algorithms' ability to...

/PRNewswire/ -- The "AI Foundation Model and Autonomous Driving Intelligent Computing Center Research Report, 2023" report has been added to ResearchAndMarkets....