In 2017, the buzz around artificial intelligence remained strong and was expected to continue gaining momentum throughout 2018. The field attracted both enthusiastic supporters who praised AI’s potential and critics who expressed concerns about its impact on the future of human-machine relationships.
Recently, Tencent released its “2017 Top Ten Hot Words in Artificial Intelligence†based on browsing and search data from TBS platform users. The report uses a scientifically weighted index to determine the most talked-about terms in the AI space. Here are the top ten:
**TOP 1: Robot**
A robot is a machine designed to perform tasks automatically, following human commands, pre-programmed instructions, or AI-driven logic. In October 2017, Sophia, a humanoid robot developed by Hong Kong-based company Hanson Robotics, became the first robot to be granted citizenship—by Saudi Arabia. This event marked a significant milestone in the evolving relationship between humans and machines.
**TOP 2: Chip**
With the rise of AI, IoT, 5G, and smart cities, the demand for advanced chips has surged. These chips play a crucial role in enabling faster and more energy-efficient execution of deep learning algorithms. Current technologies include GPUs, FPGAs, and ASICs, each tailored for different AI applications. As AI evolves, specialized hardware will become even more essential, offering better performance and efficiency across various platforms.
**TOP 3: VR**
Virtual Reality (VR) is an emerging technology that creates immersive digital environments. By simulating sight, sound, and touch, VR allows users to interact with three-dimensional spaces in real time, opening up new possibilities in gaming, training, and entertainment.
**TOP 4: Face Recognition**
Face recognition has become a common feature in daily life, from unlocking smartphones to secure payments and airport check-ins. In 2017, Guangdong launched the first "WeChat ID Card" using facial recognition, signaling a shift toward more convenient and secure identification methods.
**TOP 5: Autonomous Driving**
Self-driving cars, or autonomous vehicles, rely on AI systems to navigate roads without human intervention. These vehicles use sensors and software to detect their surroundings and make real-time decisions. A memorable moment in 2017 was when Li Yanhong drove a self-driving car on Beijing's Fifth Ring Road and even got a traffic ticket—an unusual but symbolic event in the journey of AI integration.
**TOP 6: AR**
Augmented Reality (AR) enhances the real world by overlaying digital information onto it. It combines real-world environments with virtual elements in real time, offering interactive experiences that have found applications in gaming, education, and retail.
**TOP 7: AlphaGo**
Developed by DeepMind, AlphaGo made history by defeating top Go players, including the world champion Ke Jie. Its victory in 2017 marked a turning point in AI research, proving that machines could master complex strategic games once thought to be beyond their reach.
**TOP 8: Machine Learning**
Machine learning is at the core of AI, enabling systems to improve over time through experience rather than explicit programming. It involves complex algorithms that mimic human decision-making, allowing machines to learn from data and adapt to new situations.
**TOP 9: Car Networking**
Car networking refers to the use of wireless technology to connect vehicles to a central network. This enables real-time data exchange, improving traffic management, safety, and user experience. According to Accenture, China’s car networking market is projected to reach $216.2 billion by 2025.
**TOP 10: Smart Speaker**
Smart speakers became a major trend in 2017, with tech giants launching devices like Amazon Echo, Google Home, and Baidu Xiaoya. These devices rely on voice recognition technology, allowing users to control music, set reminders, and access information simply by speaking. Their growing popularity reflects the increasing role of voice interfaces in everyday life.
As AI continues to evolve, its influence on society will only deepen, bringing both opportunities and challenges.
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