<div dir="ltr"><div><br></div><div class="gmail_quote gmail_quote_container"><div dir="ltr" class="gmail_attr">---------- Forwarded message ---------<br>From: <strong class="gmail_sendername" dir="auto">International Biometric Society</strong> <span dir="auto"><<a href="mailto:ibs@biometricsociety.org">ibs@biometricsociety.org</a>></span><br>Date: Wed, Nov 12, 2025 at 7:57 PM<br>Subject: Free for IBS Members: Distinguished Lecture with Dr. Paulo Canas Rodrigues<br>To: <<a href="mailto:paulocanas@gmail.com">paulocanas@gmail.com</a>><br></div><br><br><div class="msg-5389965620580981025"><u></u>
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<table border="0" cellpadding="0" cellspacing="0" class="m_-5389965620580981025heading_block m_-5389965620580981025block-4" role="presentation" width="100%"><tbody><tr><td class="m_-5389965620580981025pad" style="padding-bottom:10px;padding-left:20px;padding-right:20px;padding-top:10px;text-align:center;width:100%"><h1 style="margin:0;color:#282973;direction:ltr;font-family:Arial,Helvetica Neue,Helvetica,sans-serif;font-size:32px;font-weight:700;letter-spacing:normal;line-height:1.2;text-align:center;margin-top:0;margin-bottom:0"><span style="word-break:break-word">Reminder: IBS Distinguished Lecture Next Week!</span></h1></td></tr></tbody></table><table border="0" cellpadding="0" cellspacing="0" class="m_-5389965620580981025heading_block m_-5389965620580981025block-5" role="presentation" width="100%"><tbody><tr><td class="m_-5389965620580981025pad" style="padding-bottom:10px;padding-left:20px;padding-right:20px;text-align:center;width:100%"><h2 style="margin:0;color:#333;direction:ltr;font-family:Arial,Helvetica Neue,Helvetica,sans-serif;font-size:26px;font-weight:700;letter-spacing:normal;line-height:1.2;text-align:center;margin-top:0;margin-bottom:0">
<span style="word-break:break-word">Join Us Virtually on 18 November 2025</span></h2></td></tr></tbody></table></td></tr></tbody></table></td></tr></tbody></table><table align="center" border="0" cellpadding="0" cellspacing="0" class="m_-5389965620580981025row-2" role="presentation" style="background-color:#8ab5e0" width="100%"><tbody><tr><td><table align="center" border="0" cellpadding="0" cellspacing="0" class="m_-5389965620580981025row-content m_-5389965620580981025stack" role="presentation" style="background-color:#fff;border-radius:0;color:#000;width:640px;margin:0 auto" width="640"><tbody><tr><td class="m_-5389965620580981025column m_-5389965620580981025column-1" style="font-weight:400;text-align:left;padding-bottom:5px;padding-top:5px;vertical-align:top" width="25%"><div class="m_-5389965620580981025block-1" style="height:15px;line-height:15px;font-size:1px"> </div>
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</td></tr></tbody></table></td><td class="m_-5389965620580981025column m_-5389965620580981025column-2" style="font-weight:400;text-align:left;padding-bottom:5px;padding-top:5px;vertical-align:top" width="75%"><table border="0" cellpadding="0" cellspacing="0" class="m_-5389965620580981025heading_block m_-5389965620580981025block-1" role="presentation" width="100%"><tbody><tr><td class="m_-5389965620580981025pad" style="padding-bottom:10px;padding-left:20px;padding-right:10px;padding-top:10px;text-align:center;width:100%"><h2 style="margin:0;color:#333;direction:ltr;font-family:Arial,Helvetica Neue,Helvetica,sans-serif;font-size:19px;font-weight:700;letter-spacing:normal;line-height:1.2;text-align:left;margin-top:0;margin-bottom:0"><span style="word-break:break-word;color:#000000">"From Inference to Intelligence: The Evolving Role of Statistics in the Age of AI"</span></h2></td></tr></tbody></table><table border="0" cellpadding="0" cellspacing="0" role="presentation" style="word-break:break-word" width="100%"><tbody><tr><td class="m_-5389965620580981025pad" style="padding-bottom:10px;padding-left:20px;padding-right:10px;padding-top:10px"><div style="color:#333;direction:ltr;font-family:Arial,Helvetica Neue,Helvetica,sans-serif;font-size:16px;font-weight:400;letter-spacing:0;line-height:1.2;text-align:left"><p style="margin:0;margin-bottom:16px">
<span style="word-break:break-word;color:#000000"><strong>Presenter:</strong> Dr. Paulo Canas Rodrigues, Professor of Statistics and Data Science, Federal University of Bahia</span></p>
<p style="margin:0;margin-bottom:16px"><span style="word-break:break-word;color:#000000"><strong>Date:</strong> 18 November 2025</span></p>
<p style="margin:0;margin-bottom:16px">
<span style="word-break:break-word;color:#000000"><strong>Time:</strong> 8:00 a.m. EDT | 12:00 p.m. UTC | 11:00 p.m. AEST</span></p>
<p style="margin:0"><span style="word-break:break-word;color:#000000"><strong>Location:</strong> Virtual</span></p>
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<table border="0" cellpadding="0" cellspacing="0" class="m_-5389965620580981025heading_block m_-5389965620580981025block-4" role="presentation" width="100%"><tbody><tr><td class="m_-5389965620580981025pad" style="padding-bottom:10px;padding-left:20px;padding-right:10px;padding-top:10px;text-align:center;width:100%"><h3 style="margin:0;color:#333;direction:ltr;font-family:Arial,Helvetica Neue,Helvetica,sans-serif;font-size:19px;font-weight:700;letter-spacing:normal;line-height:1.2;text-align:center;margin-top:0;margin-bottom:0"><span style="word-break:break-word;color:#000000">Abstract</span></h3></td></tr></tbody></table><table border="0" cellpadding="0" cellspacing="0" class="m_-5389965620580981025block-5" role="presentation" style="word-break:break-word" width="100%"><tbody><tr><td class="m_-5389965620580981025pad" style="padding-bottom:10px;padding-left:20px;padding-right:20px;padding-top:10px"><div style="color:#333;direction:ltr;font-family:Arial,Helvetica Neue,Helvetica,sans-serif;font-size:16px;font-weight:400;letter-spacing:0;line-height:1.4;text-align:left"><p style="margin:0">
<span style="word-break:break-word;color:#000000">Artificial Intelligence is changing the way we analyze and use data. But behind most AI methods are core ideas from statistics: uncertainty, estimation, and learning from data. In this lecture, I will show how modern AI systems, from machine learning to generative models, build upon and sometimes challenge traditional statistical thinking. We will revisit concepts such as inference, prediction, and interpretability, and see how they appear in today’s neural networks and large language models. I will also discuss why statistical reasoning is essential to make AI reliable, transparent, and fair. The goal is to open a conversation about how statistics and AI can grow together, and how statisticians can shape the future of data-driven science.</span>
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<p style="margin:0"><span style="word-break:break-word;color:#ffffff">Tel: ++202-712-9049 | <a href="mailto:ibs@biometricsociety.org" target="_blank">ibs@biometricsociety.org</a> | <a href="http://www.biometricsociety.org" target="_blank">www.biometricsociety.org</a></span></p>
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