Artificial intelligence models can now create smaller AI systems without human assistance, according to a study by a team of scientists who say the project is the first of its kind.
Essentially, large AI models like ChatGPT can create smaller, more specific AI programs. This demonstrated collaboration between Aizip and scientists from the Massachusetts Institute of Technology and the University of California. These specialized models could potentially independently create tools to improve hearing aids, monitor oil pipelines, and track endangered species. reports Fox News.
Now we use large models to build smaller models, just like an older brother helps a smaller one improve. This is the first step towards larger-scale work on the self-development of artificial intelligence. This is the first step towards showing that SHI models can create SHI models.
“The amazing thing is that you can use the largest model to automatically design smaller ones,” Yubei Chen, a professor at the University of California and co-founder of Aizip. “So in the future, we believe that they, big and small, will cooperate together and then build a complete intelligent ecosystem.”
Models that can be built using AI include models that can identify human voices among ambient noise, monitor pipeline data to proactively prevent integrity problems, and analyze satellite and ground-based sensor data to track wildlife.
Our technology is a breakthrough in the sense that we have developed a fully automated process for the first time, it can develop an AI model without human intervention. This month we demonstrated the first proof of concept that one type of model can be automatically developed all the way from data generation to model deployment and testing without human intervention.
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Aizip has created artificial intelligence systems that can be performed on a chip so small it can fit on a quarter.
One of the devices demonstrated by Sun and Chen, a human activity tracker that uses AI to collect and analyze movement data, was housed on a chip smaller than a coin. This sensor is an example of miniaturized machine learning hardware, small AI systems that can be used in compact devices or spaces. According to the study, home appliances such as coffee makers, ovens, dishwashers, televisions and more should be equipped with artificial intelligence elements in the future.