New AI-assisted research predicts that the Earth could pass the global warming threshold of 1.5 degrees Celsius in the early 2030s.  Scientists used machine learning to help calculate the prediction, which was less optimistic than previous climate change modeling. The results were described in a study published yesterday in Proceedings of the National Academy of Sciences. The study suggests that global warming could reach 1.5 degrees Celsius (2.7 Fahrenheit) above pre-industrial averages sometime between 2033 and 2035. In addition, the AI model forecasted a 70% chance that the planet could pass the 2-degree Celsius threshold between 2044 and 2065. The forecasts were predicted to be true even if emissions were to be cut drastically, according to the study, which used temperature benchmarks considered to be "crisis points" in the Paris Agreement climate change treaty. To calculate the prediction, the researchers trained a neural network to analyze climate model simulations and output timelines for temperature thresholds. The research comes from scientists at Stanford University and Colorado State University.