AI reshaping global future in a new year
Figurines with computers and smartphones are seen in front of the words "Artificial Intelligence AI" in this illustration taken, Feb 19, 2024. Data, computing power and algorithms, often referred to as the "three driving forces" of AI's development, are interdependent and mutually reinforcing. Open-source data platforms have fueled the development of general-purpose models, while global internet users and industrial data offer highly customized training resources for industry-specific models, and high-quality data inputs facilitate the development of AI models. Also, foundational contributions, such as Fields Medal winner Stephen Smale's work on saddle points in optimization theory, and Nobel Prize winner for Physics and the Turing Award winner Geoffrey Hinton's deep learning frameworks, have provided crucial mathematical and algorithmic underpinnings for AI models. While it is crucial to achieve balanced and coordinated development, it is necessary to increase investments in data, algorithms and computing power, so as to synergize AI's core driving forces.
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