Subject: [AUDITORY] Deloitte AI Institute UK - Affective computing webinar, 8 November 2021 From: Margarita Kotti <margaritakotti@xxxxxxxx> Date: Mon, 11 Oct 2021 09:51:55 +0100--000000000000cc3fde05ce0fd7ca Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable [apologies for cross posting] Dear all, Deloitte AI Institute UK will be hosting Prof. Bj=C3=B6rn Schuller (Imperia= l College/University of Augsburg) on 8th November at 18:00 (London time) for a webinar entitled "Affective Computing =E2=80=93 from Bench to Business". = More information and the registration link can be found at: https://deloitte.zoom.us/webinar/register/WN_aK-1PtTKRsmE2F3PCpeThQ Webinar summary: Affective Computing is broadly speaking all about computers and emotion. Recognising affective states in human multimodal signals including audio, video, and physiological data and multimedia data such as sound, music, speech, text, or images is the main interest of the field since its kick-off roughly in the mid 1990s. However, also synthesising artificial emotion in according media or reacting to it, e.g., in human-computer interaction, is of similar interest. By now, the comparably younger field has matured in terms of technology readiness level to business level. Likewise, start-ups are rich in the field these days, side-by-side with established players, but also global enterprises are seemingly aware of the huge potential that lies in =E2=80=9Cartificial emotional intelligence=E2= =80=9D. Here, we shall first go through the range of use-cases reaching from human-computer interaction to e-learning, gaming, health and wellbeing, or security, to name a few. Then, we will revisit the common technical modelling approaches of affect and emotion. We shall also have a peek under the hood of typical recent affect analysis and synthesis engines. To best meet their ever-present craving for data, we will also touch upon this field-dominating topic. We shall then deal with pressing issues such as efficiency, explainability, fairness, and trustworthiness. Finally, we will have a glance at the current market and its main players prior to a sneak preview on tomorrow=E2=80=99s affect-savvy AI. Short Bio Bj=C3=B6rn W. Schuller is Full Professor of Artificial Intelligence and the= Head of GLAM at Imperial College London/UK, Full Professor and Chair of Embedded Intelligence for Health Care and Wellbeing at the University of Augsburg, Germany, co-founding CEO and current CSO of audEERING =E2=80=93 an Audio Intelligence company, amongst other Professorships and Affiliations. He is a Fellow of the IEEE and Golden Awardee of the IEEE Computer Society, Fellow of the BCS, Fellow of the ISCA, President-Emeritus of the AAAC, and Senior Member of the ACM. He (co-)authored 1,000+ publications (40k+ citations, h-index=3D90), is Field Chief Editor of Frontiers in Digital Health and was Editor in Chief of the IEEE Transactions on Affective Computing amongst manifold further commitments and service to the community= . Looking forward to seeing you there, Margarita Kotti Deloitte AI Institute UK --000000000000cc3fde05ce0fd7ca Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr">[apologies for cross posting]<br><br>Dear all,<br><br>Delo= itte AI Institute UK will be hosting Prof. Bj=C3=B6rn Schuller (Imperial Co= llege/University of Augsburg) on 8th November at 18:00 (London time) for a = webinar entitled "Affective Computing =E2=80=93 from Bench to Business= ". More information and the registration link can be found at:<span cl= ass=3D"gmail_default" style=3D"font-size:small"></span> <span class=3D"gmai= l_default" style=3D"font-size:small"><a href=3D"https://deloitte.zoom.us/we= binar/register/WN_aK-1PtTKRsmE2F3PCpeThQ">https://deloitte.zoom.us/webinar/= register/WN_aK-1PtTKRsmE2F3PCpeThQ</a></span><br><br>Webinar summary:<br>Af= fective Computing is broadly speaking all about computers and emotion. Reco= gnising affective states in human multimodal signals including audio, video= , and physiological data and multimedia data such as sound, music, speech, = text, or images is the main interest of the field since its kick-off roughl= y in the mid 1990s. However, also synthesising artificial emotion in accord= ing media or reacting to it, e.g., in human-computer interaction, is of sim= ilar interest. By now, the comparably younger field has matured in terms of= technology readiness level to business level. Likewise, start-ups are rich= in the field these days, side-by-side with established players, but also g= lobal enterprises are seemingly aware of the huge potential that lies in = =E2=80=9Cartificial emotional intelligence=E2=80=9D. Here, we shall first g= o through the range of use-cases reaching from human-computer interaction t= o e-learning, gaming, health and wellbeing, or security, to name a few. The= n, we will revisit the common technical modelling approaches of affect and = emotion. We shall also have a peek under the hood of typical recent affect = analysis and synthesis engines. To best meet their ever-present craving for= data, we will also touch upon this field-dominating topic. We shall then d= eal with pressing issues such as efficiency, explainability, fairness, and = trustworthiness. Finally, we will have a glance at the current market and i= ts main players prior to a sneak preview on tomorrow=E2=80=99s affect-savvy= AI.<br><br>Short Bio<br>Bj=C3=B6rn W. Schuller is Full Professor of Artifi= cial Intelligence and the Head of GLAM at Imperial College London/UK, Full = Professor and Chair of Embedded Intelligence for Health Care and Wellbeing = at the University of Augsburg, Germany, co-founding CEO and current CSO of = audEERING =E2=80=93 an Audio Intelligence company, amongst other Professors= hips and Affiliations. He is a Fellow of the IEEE and Golden Awardee of the= IEEE Computer Society, Fellow of the BCS, Fellow of the ISCA, President-Em= eritus of the AAAC, and Senior Member of the ACM. He (co-)authored 1,000+ p= ublications (40k+ citations, h-index=3D90), is Field Chief Editor of Fronti= ers in Digital Health and was Editor in Chief of the IEEE Transactions on A= ffective Computing amongst manifold further commitments and service to the = community.<br><br>Looking forward to seeing you there,<br>Margarita Kotti<b= r>Deloitte AI Institute UK</div> --000000000000cc3fde05ce0fd7ca--