From the invention of the steam engine in the 1760s to the widespread use of electricity in the 1860s, and from the creation of the first binary computer in 1946 to today’s intelligent era driven by artificial intelligence, industrial revolutions and innovations have been key drivers of human progress.
Artificial intelligence (AI), a cornerstone of the fourth industrial revolution, is currently spotlighted by two major trends: large AI models and AI digital humans.
AI large model
In 2023, "AI large models" have dominated the technology landscape. These models learn from vast amounts of data to generate content through information integration, exemplified by technologies like ChatGPT and domestic innovations such as Wenxin. Major technology companies are integrating these large models into their products. Google has launched new versions of its search, maps, and video services combined with large models. Huawei has incorporated the Pangu Grand model into HarmonyOS 4, while Apple has embedded AI capabilities across its ecosystem, including iPhones, iPads, iMacs, and iWatches, to build and enhance its ecosystem.
In addition, under the leadership of the head technology companies, the mobile phone system has also rolled up the AI large model, and Google has launched a new version of search, maps, video and other products combined with the large model. Huawei has integrated the underlying capabilities of Pangu Grand model into HarmonyOS 4; At the beginning of its establishment, Apple embedded iPhone, iPad, iMac, iWatch and other hardware devices into the IOS system, built the system, built the network, collected data, and gradually improved its own ecosystem.
AI Digital Humans
AI digital humans are among the most promising applications of large models. Both virtual digital humans and exoskeleton robots are set to see significant advancements with the optimization of AI deep learning models. At the "Artificial Intelligence for the Benefit of Humanity" Global Summit in early July, humanoid robots made their debut, engaging with journalists from around the world. Similarly, at the ISC 2023 Internet Security Conference in August, an AI digital human named "Musk" demonstrated its ability to answer questions after a brief pause, highlighting the growing trend of integrating AI digital humans with large models.
Edge Computing Powers Artificial Intelligence
As AI technology evolves, edge computing is becoming a crucial enabler. By processing data at its source, edge computing significantly reduces latency and provides real-time feedback, which is essential for applications requiring immediate decision-making, such as autonomous driving and intelligent monitoring. Furthermore, edge computing alleviates the load on cloud servers and conserves bandwidth, making it a vital component in the advancement of AI technology.
AIOTE Technology, specializing in the development and production of edge computing devices, plays a pivotal role in providing advanced hardware and solutions tailored to the diverse needs of AI applications across industries.
The intelligent revolution driven by AI is reshaping industries and daily life, with AIOTE Technology at the forefront of this transformation. By leveraging edge computing, AIOTE is helping to accelerate the deployment and effectiveness of AI technologies, ensuring that advancements continue to enhance operational efficiency and drive innovation across various sectors.