In the coming years, artificial
intelligence is set to integrate into various commonplace items, extending from
sneakers to microwaves, thanks to microchips smaller than a dime that can
accommodate machine learning programs.
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| Aizip has developed hundreds of small AI system, the co-founders told Fox News. They believe AI chips could soon be in coffee makers, ovens and hearing aids |
According to Yubei Chen, co-founder
of the artificial intelligence company Aizip, future applications could include
shoes equipped to recognize weight changes, adjusting cushioning accordingly.
Safety helmets for workers might possess the capability to sense fatigue and
prompt individuals to take breaks. Additionally, microwaves could incorporate
AI to enable natural language interaction with users.
Aizip has recently pioneered a method for crafting compact, specialized AI systems suitable for integration into various products like household appliances, apparel, and manufacturing machinery. Unlike large AI models such as ChatGPT, which demand substantial processing power and rely on massive data centers, these diminutive AI tools possess the capacity to collect, store, and analyze data while physically fitting onto the items utilizing the technology.
Yan Sun, CEO of Aizip, expressed
the goal of infusing daily life with intelligence to enhance safety and
intelligence. He emphasized the potential societal benefits of these small AI
models, underscoring their ability to contribute positively to society.
Scientists believe that the advent
of small AI models could usher in a new era of intelligence for devices in both
homes and workplaces. Aizip's research envisions a future where smart
appliances, such as refrigerators, can identify the nutritional content of
their contents. Ovens could automatically set cooking parameters based on food
type, and coffee machines equipped with facial recognition technology could
customize orders for individual users. Aizip has already developed a tiny
system, housed on a chip smaller than a dime, with ample space for additional
applications. One notable application is a human activity tracker that utilizes
AI to collect and analyze motion data.
The significance of these miniature machine learning capabilities lies in the concept of pervasive AI, where nearly any object has the potential to become intelligent, as highlighted by Yan Sun, CEO of Aizip.
Chen reported that Aizip has
integrated eight distinct AI models, spanning vision, audio, and time series,
onto these diminutive devices. The company's extensive efforts have resulted in
the development of over several hundred different models.
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| Aizip has created AI systems that can be housed in a chip so small it can fit on a quarter |
Aizip envisions a broad spectrum of
potential AI applications, including systems capable of monitoring pipeline
data to prevent leaks, discerning human voices amid background noise, and
analyzing satellite and sensor data to track wildlife.
The company aspires to produce AI
systems that can be manufactured at a minimal cost, with Sun expressing the
goal of making these models highly efficient, reducing human intervention, and
overall lowering costs. The ultimate aim is to democratize access to these
advanced AI models.
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