{"id":3137,"date":"2021-09-24T16:54:25","date_gmt":"2021-09-24T07:54:25","guid":{"rendered":"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/?p=3137"},"modified":"2022-09-01T22:31:39","modified_gmt":"2022-09-01T13:31:39","slug":"monthly-ai-seminar-by-institute-for-physics-of-intelligence-ipi-seminar-will-resume-online-for-2021-as","status":"publish","type":"post","link":"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/news\/3137\/","title":{"rendered":"Monthly AI seminar by Institute for Physics of Intelligence (ipi seminar) will resume online for 2021 FS."},"content":{"rendered":"\n<div><span class=\"x_author-d-iz88z86z86za0dz67zz78zz78zz74zz68zjz80zz71z9iz90z8z86zdnagz83zz74zikpz70zz72zkz79zkfbz71z2z88zz74zm9gxc1z74zz79zk\">\u201cAI for Physics, Physics for AI\u201d is the guiding motto for Institute for Physics of Intelligence<\/span><span class=\"x_author-d-iz88z86z86za0dz67zz78zz78zz74zz68zjz80zz71z9iz90z8z86zdnagz83zz74zikpz70zz72zkz79zkfbz71z2z88zz74zm9gxc1z74zz79zk x_s-lparen\"><span class=\"x_Apple-converted-space\">&nbsp;<\/span><\/span><span class=\"x_author-d-iz88z86z86za0dz67zz78zz78zz74zz68zjz80zz71z9iz90z8z86zdnagz83zz74zikpz70zz72zkz79zkfbz71z2z88zz74zm9gxc1z74zz79zk x_h-lparen\">(ipi)<\/span><span class=\"x_author-d-iz88z86z86za0dz67zz78zz78zz74zz68zjz80zz71z9iz90z8z86zdnagz83zz74zikpz70zz72zkz79zkfbz71z2z88zz74zm9gxc1z74zz79zk\"><span class=\"x_Apple-converted-space\">&nbsp;<\/span>and for its monthly seminar. We are happy to announce that we will resume the ipi seminar from this October in an online format.<\/span><\/div>\n<div><span class=\"x_author-d-iz88z86z86za0dz67zz78zz78zz74zz68zjz80zz71z9iz90z8z86zdnagz83zz74zikpz70zz72zkz79zkfbz71z2z88zz74zm9gxc1z74zz79zk\">We would like to invite everyone who is interested in the synergy between AI and physics. Each month, we will host a 45 to 60Min seminar by renowned speakers on various topics that will provide an inspiration for the audience and offer the possibility for exchange and collaborations. Each seminar talk will be followed by 30Min Q&amp;A and informal chatting with the speaker.<\/span><\/div>\n<div>&nbsp;<\/div>\n<div>\n<div>\n<div>1. [finished] Hajime YOSHINO @ Osaka Univ. \u21e8For more details, click <a href=\"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/news\/3233\/\"><strong>HERE<\/strong><\/a><\/div>\n<div>&nbsp;- 10:30-12:00am, October 28<\/div>\n<div>&nbsp;- Design space of a deep neural network - its spatial evolution and robustness<\/div>\n<div>2. [finished] Shirley HO @ Princeton Univ. \u21e8For more details, click <strong><a href=\"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/%e5%9b%ba%e5%ae%9a%e3%83%9a%e3%83%bc%e3%82%b8\/3443\/\">HERE<\/a><\/strong><\/div>\n<div>&nbsp;- 1:00pm, November 30&nbsp;<\/div>\n<div>&nbsp;- Interpreting (some) neural networks with symbolic regression<\/div>\n<div>3. [finished] Sho YAIDA @ Meta AI \u21e8For more details, click <strong><a href=\"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/%e5%9b%ba%e5%ae%9a%e3%83%9a%e3%83%bc%e3%82%b8\/3466\/\">HERE<\/a><\/strong><\/div>\n<div>&nbsp;- 10:30-12:00am, December 16<\/div>\n<div>&nbsp;- Effective Theory of Deep Neural Networks<\/div>\n<div>4. [finishied] Ayaka SAKATA @ Institute of Statistical Mathematics \u21e8For more details, click <a href=\"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/%e5%9b%ba%e5%ae%9a%e3%83%9a%e3%83%bc%e3%82%b8\/3541\/\"><strong>HERE<\/strong><\/a><\/div>\n<div>&nbsp;- 10:30-12:00am, January 11<\/div>\n<div>&nbsp;- Statistical physics for the Bayesian statistical decision: an application to Group Testing<\/div>\n<\/div>\n<div>\n<div>5. Quoc Hoan TRAN @ Univ. Tokyo \u21e8For more details, click <strong><a href=\"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/about\/3557\/\">HERE<\/a><\/strong><br>&nbsp;-10:30-12:00am, January 26<\/div>\n<div>&nbsp;-Quantum Reservoir Computing - from Classical to Quantum Timeseries Processing<\/div>\n<div>&nbsp;<\/div>\n<\/div>\n<\/div>\n<div><br>\n<div><span class=\"x_author-d-iz88z86z86za0dz67zz78zz78zz74zz68zjz80zz71z9iz90z8z86zdnagz83zz74zikpz70zz72zkz79zkfbz71z2z88zz74zm9gxc1z74zz79zk\">To receive the Zoom invitation and monthly reminders,<span class=\"x_Apple-converted-space\">&nbsp;<\/span><\/span><span class=\"x_author-d-iz88z86z86za0dz67zz78zz78zz74zz68zjz80zz71z9iz90z8z86zdnagz83zz74zikpz70zz72zkz79zkfbz71z2z88zz74zm9gxc1z74zz79zk\"><b>please register via this google form<\/b><\/span><span class=\"x_author-d-iz88z86z86za0dz67zz78zz78zz74zz68zjz80zz71z9iz90z8z86zdnagz83zz74zikpz70zz72zkz79zkfbz71z2z88zz74zm9gxc1z74zz79zk\">:<span class=\"x_Apple-converted-space\">&nbsp;<\/span><\/span><span class=\"x_attrlink x_url x_author-d-iz88z86z86za0dz67zz78zz78zz74zz68zjz80zz71z9iz90z8z86zdnagz83zz74zikpz70zz72zkz79zkfbz71z2z88zz74zm9gxc1z74zz79zk x_url\"><a class=\"x_attrlink\" href=\"https:\/\/forms.gle\/dqxhpsZXLNYvbSB38\" target=\"_blank\" rel=\"noreferrer nofollow noopener\" data-auth=\"NotApplicable\"><u>https:\/\/forms.gle\/dqxhpsZXLNYvbSB38<\/u><\/a><\/span><\/div>\n<div><span class=\"x_author-d-iz88z86z86za0dz67zz78zz78zz74zz68zjz80zz71z9iz90z8z86zdnagz83zz74zikpz70zz72zkz79zkfbz71z2z88zz74zm9gxc1z74zz79zk\">Your e-mail addresses will be used for this purpose only, you can unsubscribe anytime, and we will not send more than three e-mails per month.<\/span><\/div>\n<div>&nbsp;<\/div>\n<div>&nbsp;<\/div>\n<div><span class=\"x_author-d-iz88z86z86za0dz67zz78zz78zz74zz68zjz80zz71z9iz90z8z86zdnagz83zz74zikpz70zz72zkz79zkfbz71z2z88zz74zm9gxc1z74zz79zk\">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Tilman HARTWIG, Takashi TAKAHASHI &amp; Ken NAKANISHI<br><\/span><\/div>\n<div>&nbsp;<\/div>\n<div><a href=\"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/lp\/ipi\/\">\u21e6Top page<\/a><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"\u201cAI for Physics, Physics for AI\u201d is the guiding motto for Institute for Physics of Intelligence&nbsp;(ipi)&#038;nbs [&hellip;]","protected":false},"author":13,"featured_media":3278,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[3],"tags":[],"_links":{"self":[{"href":"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/wp-json\/wp\/v2\/posts\/3137"}],"collection":[{"href":"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/wp-json\/wp\/v2\/users\/13"}],"replies":[{"embeddable":true,"href":"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/wp-json\/wp\/v2\/comments?post=3137"}],"version-history":[{"count":19,"href":"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/wp-json\/wp\/v2\/posts\/3137\/revisions"}],"predecessor-version":[{"id":3666,"href":"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/wp-json\/wp\/v2\/posts\/3137\/revisions\/3666"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/wp-json\/wp\/v2\/media\/3278"}],"wp:attachment":[{"href":"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/wp-json\/wp\/v2\/media?parent=3137"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/wp-json\/wp\/v2\/categories?post=3137"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/wp-json\/wp\/v2\/tags?post=3137"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}