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Podcast: Arxiv Papers
Episode: [QA] Fast and scalable retrosynthetic planning with a transformer neural network and speculative beam search
Description: We propose a method to accelerate AI-based synthesis planning systems, enhancing their efficiency and throughput in drug design by reducing latency and improving molecule-solving capabilities.https://arxiv.org/abs//2508.01459YouTube: https://www.youtube.com/@ArxivPapersTikTok: https://www.tiktok.com/@arxiv_papersApple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers