<div dir="ltr"><p dir="ltr" style="line-height:1.2;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">We are pleased to announce the </span><span style="font-size:12pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">4th edition of the Machine Learning Summer School (MLSS^R&S 2026)</span><span style="font-size:12pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">. This year's program focuses on </span><span style="font-size:12pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">AI safety, reliability, and the robustness of machine learning systems</span><span style="font-size:12pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">.</span></p><p dir="ltr" style="line-height:1.2;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> </span></p><p dir="ltr" style="line-height:1.2;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Dates:</span><span style="font-size:12pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> June 29 – July 3, 2026</span></p><p dir="ltr" style="line-height:1.2;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Location:</span><span style="font-size:12pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> Kraków, Poland</span></p><p dir="ltr" style="line-height:1.2;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Website:</span><a href="https://mlss2026.mlinpl.org/" target="_blank" style="text-decoration-line:none"><span style="font-size:12pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> </span><span style="font-size:12pt;font-family:Arial,sans-serif;color:rgb(70,120,134);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;text-decoration-line:underline;vertical-align:baseline">https://mlss2026.mlinpl.org/</span></a></p><p dir="ltr" style="line-height:1.2;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> </span></p><p dir="ltr" style="line-height:1.2;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Key Speakers:</span></p><ul style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-size:12pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.2;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12pt;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Franziska Boenisch</span><span style="font-size:12pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> (CISPA Helmholtz Center) – Private and trustworthy machine learning.</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-size:12pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.2;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12pt;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Dominik Janzing</span><span style="font-size:12pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> (Amazon) – Causal inference for cloud computing.</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-size:12pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.2;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12pt;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Wojciech Samek</span><span style="font-size:12pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> (TU Berlin) – Explainable AI</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-size:12pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.2;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12pt;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Adam Dziedzic</span><span style="font-size:12pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> (CISPA Helmholtz Center) – Secure and trustworthy Machine Learning</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-size:12pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.2;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12pt;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Randall Balestriero</span><span style="font-size:12pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> (Brown University / Meta AI Research) – Self-supervised learning</span></p></li></ul><ul style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-size:12pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.2;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12pt;background-color:transparent;font-style:italic;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">(More speakers to be announced soon)</span></p></li></ul><p dir="ltr" style="line-height:1.2;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> </span></p><p dir="ltr" style="line-height:1.2;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Important Deadlines:</span></p><ul style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-size:12pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.2;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12pt;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Early Bird Application:</span><span style="font-size:12pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> March 8, 2026 (AoE)</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-size:12pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.2;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12pt;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Regular Application:</span><span style="font-size:12pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> April 19, 2026 (AoE)</span></p></li></ul><p dir="ltr" style="line-height:1.2;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> </span></p><p dir="ltr" style="line-height:1.2;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">The event is organized by Jagiellonian University, the ML in PL Association, GMUM, IDEAS Research Institute, and ELLIS Unit Warsaw. It is designed for PhD students, research-oriented Master's students, and early-career researchers interested in the foundations of trustworthy AI.</span></p><p dir="ltr" style="line-height:1.2;text-align:justify;margin-top:12pt;margin-bottom:12pt"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">As part of this announcement, we are offering a </span><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">10% discount on the registration fee for participants who use</span><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> the code below. The discount applies </span><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">in addition to any current rate</span><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">, including the Early Bird fee.</span></p><p dir="ltr" style="line-height:1.2;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Discount code:</span><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> </span><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(24,128,56);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">MLSS-RS2026-NETWORK</span></p><p dir="ltr" style="line-height:1.2;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> </span></p><p dir="ltr" style="line-height:1.2;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Apply here:</span><a href="https://mlss2026.mlinpl.org/" target="_blank" style="text-decoration-line:none"><span style="font-size:12pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> </span><span style="font-size:12pt;font-family:Arial,sans-serif;color:rgb(11,87,208);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;text-decoration-line:underline;vertical-align:baseline">https://mlss2026.mlinpl.org/</span></a></p><p dir="ltr" style="line-height:1.2;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12pt;font-family:Arial,sans-serif;color:rgb(31,31,31);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Contact: <a href="mailto:mlss@mlinpl.org" target="_blank">mlss@mlinpl.org</a></span></p></div>