Three letters are exercising minds at the moment: GPT. The acronym stands for “Generative Pre-trained Transformer”. This term may not be familiar to the vast majority of us, but if you put “chat” in front, the scales fall from our eyes. The new chatbot is hitting the headlines on a daily basis now – in both a positive and a negative sense. With the aid of artificial intelligence (AI), the application can write tweets, do homework and even write poems. In other words, ChatGPT is able to generate texts just like a human. This poses problems in everyday life, though, so the developer, OpenAI, in which Microsoft has also invested, is meanwhile working eagerly on a program that should be able to distinguish between a text written by a human and one written by a computer.
ChatGPT is already giving an impressive demonstration of what AI is capable of. This has also been a rude awakening for competitors. Google in particular is worried about losing market share to the machine learning program, especially as OpenAI partner Microsoft is looking to integrate the chatbot into the premium subscription of its Teams platform from June. Google is now pushing ahead with its own AI programs, which likewise rely on Natural Language Processing and are set to revolutionise internet searches. ChatGPT could possibly become a game changer, then, and energise the emerging AI market still further. Even today, the areas of application of AI extend well beyond the mere authoring of texts. The technology is already integrated widely into our everyday life, whether through voice assistants such as Alexa and Siri, facial recognition in smartphones or autonomous driving. Experts anticipate that global sales in the hardware, software and IT services segments of the AI sector will rise to around USDbn 554 by 2024, an increase of just under 45% on 2021.
The digital upheaval triggered by AI is impacting many industries. As already mentioned, the self-driving car is an important sector because fully automated driving would not be possible without the analysis of huge quantities of data in real time. The processors of Nvidia have a decisive role to play here. The US chip designer is growing rapidly in this field, constantly expanding its customer base. The Neta brand of Hozon Auto, for instance, recently announced that it would manufacture its future Stromers on the Nvidia platform. At the start of the year the company also entered into a partnership with Foxconn for autonomous vehicle platforms. They are joining forces in order to better meet the growing demand for chips in this future segment. According to car giant VW, autonomous vehicles will be mainstream by 2030 at the latest.
The digitalisation of industrial production, called industry 4.0 in the jargon, is similarly reliant on AI if fully automated processes are to be guaranteed. This is particularly true for robots. “AI holds great potential for robotics, enabling a range of benefits in sectors as diverse as manufacturing and healthcare,” the experts of the International Federation of Robotics (IFR) write in their latest study entitled “Artificial Intelligence in Robotics”. These humanoids can not only take on repetitive parts of a task or process such as lifting, fetching and carrying, but also work effectively in unpredictable or fast-changing environments.
Source: Statista