➀ The article discusses the importance of selecting the right storage for machine learning projects, emphasizing the need for scalability, availability, security, and performance. ➁ It reviews various storage options including local file storage, NAS, SAN, DFS, and object storage, comparing their suitability for ML applications. ➂ The article concludes that object storage is the best choice for AI due to its massive scalability, handling of unstructured data, RESTful APIs, encryption capabilities, and cloud-native nature.

1. Tenstorrent introduces second-generation Wormhole accelerator cards, offering high performance with the n150 and n300 models. 2. The company launches TT-LoudBox and TT-QuietBox workstations, featuring powerful configurations and flexible deployment options. 3. Tenstorrent's roadmap includes upcoming Blackhole architecture and future chiplet designs for enhanced AI capabilities.

1. Professor Leopoldo Molina-Luna at TU Darmstadt receives his fourth ERC grant for the 'BED-TEM' project, focusing on machine learning in electron microscopy. 2. The project aims to develop a user-friendly software platform that optimizes experimental parameters using Bayesian optimization. 3. This initiative could revolutionize in situ experiments and has potential applications in nanoelectronics.

1. Professor Leopoldo Molina-Luna of TU Darmstadt receives his fourth ERC grant for the 'BED-TEM' project, focusing on machine learning applications in electron microscopy. 2. The project aims to develop a user-friendly software platform that integrates Bayesian optimization with (S)TEM image analysis to enhance experimental design. 3. The initiative addresses challenges in adapting machine learning to (S)TEM data and ensuring market demand, aiming to revolutionize in-situ experiments and contribute to material sciences.