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✨🤖 𝐓𝐞𝐚𝐜𝐡𝐢𝐧𝐠 𝐌𝐚𝐜𝐡𝐢𝐧𝐞𝐬 𝐭𝐨 𝐓𝐡𝐢𝐧𝐤 𝐒𝐚𝐟𝐞𝐥𝐲 🚗🛸 𝐻𝑜𝑤 𝑑𝑜 𝑦𝑜𝑢 𝑏𝑢𝑖𝑙𝑑 𝑎 𝑠𝑦𝑠𝑡𝑒𝑚 𝑡ℎ𝑎𝑡 𝑑𝑜𝑒𝑠𝑛'𝑡 𝑓𝑎𝑖𝑙 𝑤ℎ𝑒𝑛 𝑡ℎ𝑒 𝑤𝑜𝑟𝑙𝑑 𝑠𝑡𝑜𝑝𝑠 𝑏𝑒ℎ𝑎𝑣𝑖𝑛𝑔 𝑎𝑠 𝑒𝑥𝑝𝑒𝑐𝑡𝑒𝑑? ISSNAF is proud to share this La Repubblica feature on Marco Pavone, 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗼𝗿 𝗼𝗳 𝗔𝗲𝗿𝗼𝗻𝗮𝘂𝘁𝗶𝗰𝘀 𝗮𝗻𝗱 𝗔𝘀𝘁𝗿𝗼𝗻𝗮𝘂𝘁𝗶𝗰𝘀 𝗮𝘁 Stanford University, 𝗗𝗶𝗿𝗲𝗰𝘁𝗼𝗿 𝗼𝗳 𝘁𝗵𝗲 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 𝗟𝗮𝗯𝗼𝗿𝗮𝘁𝗼𝗿𝘆, 𝗮𝗻𝗱 𝗛𝗲𝗮𝗱 𝗼𝗳 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗩𝗲𝗵𝗶𝗰𝗹𝗲𝘀 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗮𝘁 NVIDIA. Dr. Pavone is recipient of the 𝗙𝗿𝗮𝗻𝗰𝗼 𝗦𝘁𝗿𝗮𝘇𝘇𝗮𝗯𝗼𝘀𝗰𝗼 𝗔𝘄𝗮𝗿𝗱 (𝟮𝟬𝟭𝟳), active 𝗠𝗲𝗻𝘁𝗼𝗿 𝗶𝗻 𝘁𝗵𝗲 𝗜𝗦𝗦𝗡𝗔𝗙 𝗠𝗲𝗻𝘁𝗼𝗿𝘀𝗵𝗶𝗽 𝗣𝗿𝗼𝗴𝗿𝗮𝗺, and generous 𝗵𝗼𝘀𝘁 𝗼𝗳 𝘀𝘁𝘂𝗱𝗲𝗻𝘁𝘀 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝘁𝗵𝗲 𝗜𝗦𝗦𝗡𝗔𝗙 𝗠𝗼𝗯𝗶𝗹𝗶𝘁𝘆 𝗣𝗿𝗼𝗴𝗿𝗮𝗺. From Catania to Massachusetts Institute of Technology, NASA Jet Propulsion Laboratory, and the frontier of physical AI at Stanford, Pavone has built his career around one unifying challenge: designing autonomous systems — cars, drones, robots, spacecraft — that perform reliably even in conditions they were never designed for. At the heart of his work are two research programs: - 𝗔𝗹𝗽𝗮𝗺𝗮𝘆𝗼, which enables vehicles to reason about their surroundings in real time -𝗛𝗲𝗹𝗼𝘀, which ensures AI deployed on critical systems behaves safely without sacrificing performance. Alongside Stanford and NVIDIA, he also chairs the Scientific Committee of AI for Italy, maintaining a strong and structured connection with his home country. A powerful reminder that the problems most worth solving are almost always, at first, the ones that seem hardest to reach. ✨ https://lnkd.in/dktqkF-h