Good morning, everybody. You are watching the pulse. We are live from bloombergs European Headquarters in london. This is what is coming up. A celebrity chef joins the pulse. He will give us his take on Restaurant Trends and a sneak preview of his new tv series. That is 30 minutes from now. Another interview you will not want to miss is with microsoft exec satya nadella. He has been shortlisted as a possible successor to Steve Ballmer. He speaks with us exclusively at the top of the next hour. We begin with an exclusive conversation with mark carney. He spoke with charlie rose about the state of the u. K. Mortgage market, calling it rocksolid. What do we need to know . What did he say . We are looking at a recovery in the wider economy in the u. K. And you have got to think about what is important. What is the risk of the low rate policy . The big issue at the moment is the u. K. Housing market. It is a big issue. This is what mark carney had to say to charlie rose. If you look at that
Transformer-based large language models are making significant strides in various fields, such as natural language processing1–5, biology6,7, chemistry8–10 and computer programming11,12. Here, we show the development and capabilities of Coscientist, an artificial intelligence system driven by GPT-4 that autonomously designs, plans and performs complex experiments by incorporating large language models empowered by tools such as internet and documentation search, code execution and experimental automation. Coscientist showcases its potential for accelerating research across six diverse tasks, including the successful reaction optimization of palladium-catalysed cross-couplings, while exhibiting advanced capabilities for (semi-)autonomous experimental design and execution. Our findings demonstrate the versatility, efficacy and explainability of artificial intelligence systems like Coscientist in advancing research. Coscientist is an artificial intelligence system driven by GP
Researchers may be able to address the reproducibility crisis in the future by using AI to develop life science experiments in a cloud laboratory environment.