Summary: Artificial intelligence (AI) has become a prevailing buzzword in the tech industry, especially at CES 2024. Major tech firms like Microsoft and Intel are integrating AI into their products, but there’s a question about whether all features labeled as AI truly deserve the title. While some AI products involve explicit training and learning capabilities, others seem to be rebranded smart features. The definition of AI varies, with artificial general intelligence being the ultimate goal of surpassing human intelligence. However, we’re still far from achieving that level of AI. As AI evolves and becomes smarter, our perception of what constitutes AI may change. From Stanford University’s perspective, AI involves making intelligent machines that can learn like humans to some extent. Machine learning, a subset of AI, focuses on analyzing data and patterns to improve performance. While there is still room for improvement and clarity regarding the definition of AI, CES 2024 showcased the increasing practical applications of AI, such as AI accelerators in gaming processors and AI noise cancellation software.
The tech industry has been abuzz with artificial intelligence (AI) at CES 2024, but are all these products truly deserving of the AI label? Over the years, the tech world has seen numerous buzzwords come and go, and AI seems to be the latest one taking center stage. Companies like Microsoft and Intel are investing heavily in integrating AI into their products, but how do we differentiate between true AI and rebranded smart features?
There is no denying the potential of AI. The success of AI models like ChatGPT and image generation has captured the world’s attention. Nevertheless, not all features labeled as AI are genuinely new developments. Many of them, such as sleep monitoring or automated timers, existed before the AI hype surged. So, what sets true AI apart from these somewhat intelligent features?
Some AI products boast explicit references to training and learning, often with cloud-based systems to handle the actual AI processing. For instance, Adobe’s AI algorithms offer generative image creation capabilities beyond what traditional smart algorithms can achieve. However, the distinction between AI and traditional code based on if statements and logic loops is not always clear.
Furthermore, the definition of AI itself varies, with the concept of artificial general intelligence being the pinnacle of surpassing human intelligence. Yet, we are still far from achieving this level of AI. As AI continues to evolve and become smarter, our perception of what qualifies as AI may also change. The current leading AI models, like ChatGPT, may no longer be considered true AI once more advanced models emerge.
In the quest for clarity, Stanford University offers a definition of AI that emphasizes machines capable of learning to some extent, similar to human beings. This definition aligns with the emerging field of machine learning, which is closely related to AI but distinct in its focus on analyzing data and patterns to improve performance.
CES 2024 showcased the practical applications of AI, such as Intel’s plans to bring a desktop gaming processor with an AI accelerator to market. AI noise cancellation software also demonstrated the potential for AI to enhance user experiences. While there is still room for improvement in defining AI, CES 2024 highlighted the increasing integration of AI in various technologies, signaling a promising future filled with intelligent machines that continue to learn and improve.