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#747: Unpacking Automated Reasoning: From Mathematical Logic to Practical AI Security
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Kandungan disediakan oleh Amazon Web Services. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Amazon Web Services atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.
Discover how AWS leverages automated reasoning to enhance AI safety, trustworthiness, and decision-making. Byron Cook (Vice President and Distinguished Scientist) explains the evolution of reasoning tools from limited, PhD-driven solutions to scalable, user-friendly systems embedded in everyday business operations. He highlights real-world examples such as mortgage approvals, security policies, and how formal logic and theorem proving are used to verify answers and reduce hallucinations in large language models. This episode delves into the exciting potential of neurosymbolic AI to bridge the gap between complex mathematical logic and practical, accessible AI solutions. Join us for a deep dive into how these innovations are shaping the next era of trustworthy AI, with insights into tackling intractable problems, verifying correctness, and translating complex proofs into natural language for broader use. https://aws.amazon.com/what-is/automated-reasoning/
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617 episod
MP3•Laman utama episod
Manage episode 521010150 series 3031874
Kandungan disediakan oleh Amazon Web Services. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Amazon Web Services atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.
Discover how AWS leverages automated reasoning to enhance AI safety, trustworthiness, and decision-making. Byron Cook (Vice President and Distinguished Scientist) explains the evolution of reasoning tools from limited, PhD-driven solutions to scalable, user-friendly systems embedded in everyday business operations. He highlights real-world examples such as mortgage approvals, security policies, and how formal logic and theorem proving are used to verify answers and reduce hallucinations in large language models. This episode delves into the exciting potential of neurosymbolic AI to bridge the gap between complex mathematical logic and practical, accessible AI solutions. Join us for a deep dive into how these innovations are shaping the next era of trustworthy AI, with insights into tackling intractable problems, verifying correctness, and translating complex proofs into natural language for broader use. https://aws.amazon.com/what-is/automated-reasoning/
…
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