Researchers in Colombia are utilizing deep learning models to predict the ripeness of oil palm fruit, aiming to enhance efficiency in production. The project focuses on increasing productivity in existing plantations without the need for expansion, contributing to forest conservation efforts. The deep learning model classifies fruits into green, ripe, and overripe categories based on real-time analysis.
The use of AI in palm oil production can lead to more accurate harvesting predictions, reducing unnecessary resource consumption. International collaboration, such as the project supported by the UK's Royal Academy of Engineering, plays a crucial role in advancing science and technology. Colombia, with a diverse range of palm species, is working towards preserving endangered food palms and establishing sustainable commercial plantations.
Isomorphic Labs, the AI drug discovery platform that was spun out of Google's DeepMind in 2021, has raised external capital for the first time. The $600
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Sam Altman today revealed that OpenAI will release an open weight artificial intelligence model in the coming months. "We are excited to release a powerful new open-weight language model with reasoning in the coming months," Altman wrote on X.