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Nvidia is accelerating the end-of-life (EOL) for several of its older Jetson AI processor modules, specifically those based on the TX2 and Xavier architectures. This decision, driven by a global shortage of LPDDR4
Project Maven, an AI system, is revolutionizing US military targeting, demonstrated by a rapid assault on Iran where over 1,000 targets were struck in 24 hours. Developed from a 2017 Google experiment, then by Palantir and others, it speeds up intelligence gathering and the 'kill chain' from hours to seconds. While enhancing efficiency, its acceleration raises ethical concerns about data accuracy and human oversight, sparking debate on the future of AI in warfare.
