![]() The chatbot cannot (yet) do everything perfectly, however. In an experiment in which the chatbot is asked to design a trendy women's shoe, it offers several possible alternatives and then, when asked, serially and skillfully refines the design. Less momentous, but also fascinating, was a recent article by Ethan Mollick, a professor at the Wharton School at the University of Pennsylvania, which described the ability of the newest, "multimodal" version of chatbot GPT-4 to "see," "hear," and "understand" what is being presented to it. Within health care, the US Food and Drug Administration has already cleared 523 devices that use AI - 75% of them for use in radiology. A Google DeepMind model can control plasma in nuclear fusion reactions, bringing us closer to a clean-energy revolution. Scientists at McMaster University and MIT, for example, used an AI model to identify an antibiotic to combat a pathogen that the World Health Organization labeled one of the world’s most dangerous antibiotic-resistant bacteria for hospital patients. The second demonstrates how a deep-learning algorithm was able to predict extreme rainfall more accurately and more quickly than other methods.Ī July 5th article in Technology Review magazine offered some examples of how AI is advancing various other scientific disciplines: The first article describes how a new AI model, Pangu-Weather, can predict worldwide weekly weather patterns much more rapidly than traditional forecasting methods but with comparable accuracy. Currently, it is difficult and time-consuming because to make predictions, meteorologists must analyze weather variables such as temperature, precipitation, pressure, wind, humidity, and cloudiness individually, but new AI systems can significantly speed up the process. Two recent articles in the journal Nature described its application to weather forecasting. ![]() These so-called “chatbots,” computer programs designed to simulate conversation with human users, have evolved rapidly in recent years.Įxamples of their application abound. The same is true of rivals such as Claude from Anthropic and Bard from Google. With its human-like writing abilities and OpenAI’s other recent release, DALL-E 2, it generates images on demand and uses large language models trained on huge amounts of data. Hardly a day passes without a report of some new, startling application of Artificial Intelligence (AI), the quest to build machines that can reason, learn, and act intelligently.ĬhatGPT is widely considered to be the prototype.
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