Uploaded September 2022 | Updated September 2026, 2 weeks ago
The field of Deep Learning has seen some incredible achievements in the past few years. Thanks to improvements in computing power and an incredible foundation of research, advancements within machine learning have enabled the creation of powerful applications. The success of these tools has garnered much attention, from both the practitioner community and those who would seek to gain an edge in their industry by harnessing the advantages of machine learning.
While simply applying these tools seems to revolutionize a great number of industries and fields, the implications of using tools that can be hard to parse – even for their creators – should not be ignored. With such promise and excitement surrounding the field for both those who build the tools and those who wish to use them, how will this area of research continue to develop?
In the 2022 Hot Topic, we will explore the applications and implications of Deep Learning. The conversation will open with a panel of experts in the field, including the recipients of the 2018 ACM A.M. Turing Award, who received the prize for their foundational work in deep neural networks. Touching on the science behind the technology, how the field has evolved, and the societal and ethical implications of the tools that Deep Learning enables, the panel will open up the larger conversation and highlight the topics that are key in this field for researchers, engineers, and those who are touched by these tools. Next, the audience will have the opportunity to ask questions. Afterwards, we will invite the audience into small group discussions and reflections during the break. Attendees will have the opportunity to engage with the topic in-person or online. Finally, we will reconvene to discuss the ideas surfaced in a debriefing onstage.
Moderator:
Katherine Gorman
Panelists:
Sanjeev Arora (ACM Prize in Computing - 2011), Yoshua Bengio (ACM A.M. Turing Award - 2018), Yann LeCun (ACM A.M. Turing Award - 2018), Raj Reddy (ACM A.M. Turing Award - 1994), Been Kim, Dina Machuve, Shakir Mohamed and Shannon Vallor.
The 9th Heidelberg Laureate Forum took place from September 18–23, 2022. #HLF22
The Heidelberg Laureate Forum (HLF) is an annual networking conference where 200 carefully selected young researchers in mathematics and computer science spend a week interacting with the laureates of the most prestigious awards in their disciplines: the Abel Prize, ACM A.M. Turing Award, ACM Prize in Computing, Fields Medal, IMU Abacus Medal and Nevanlinna Prize.
The opinions expressed in the videos do not necessarily reflect the views of the Heidelberg Laureate Forum Foundation or any other person or associated institution involved in the making and distribution of these videos.
More information on the Heidelberg Laureate Forum: heidelberg-laureate-forum.org
Follow us on social media!
Blog: scilogs.spektrum.de/hlf
Twitter: twitter.com/HLForum
Instagram: instagram.com/hlforum
Facebook: facebook.com/HeidelbergLaureateForum
The field of Deep Learning has seen some incredible achievements in the past few years. Thanks to improvements in computing power and an incredible foundation of research, advancements within machine learning have enabled the creation of powerful applications. The success of these tools has garnered much attention, from both the practitioner community and those who would seek to gain an edge in their industry by harnessing the advantages of machine learning.
While simply applying these tools seems to revolutionize a great number of industries and fields, the implications of using tools that can be hard to parse – even for their creators – should not be ignored. With such promise and excitement surrounding the field for both those who build the tools and those who wish to use them, how will this area of research continue to develop?
In the 2022 Hot Topic, we will explore the applications and implications of Deep Learning. The conversation will open with a panel of experts in the field, including the recipients of the 2018 ACM A.M. Turing Award, who received the prize for their foundational work in deep neural networks. Touching on the science behind the technology, how the field has evolved, and the societal and ethical implications of the tools that Deep Learning enables, the panel will open up the larger conversation and highlight the topics that are key in this field for researchers, engineers, and those who are touched by these tools. Next, the audience will have the opportunity to ask questions. Afterwards, we will invite the audience into small group discussions and reflections during the break. Attendees will have the opportunity to engage with the topic in-person or online. Finally, we will reconvene to discuss the ideas surfaced in a debriefing onstage.
Moderator:
Katherine Gorman
Panelists:
Sanjeev Arora (ACM Prize in Computing - 2011), Yoshua Bengio (ACM A.M. Turing Award - 2018), Yann LeCun (ACM A.M. Turing Award - 2018), Raj Reddy (ACM A.M. Turing Award - 1994), Been Kim, Dina Machuve, Shakir Mohamed and Shannon Vallor.
The 9th Heidelberg Laureate Forum took place from September 18–23, 2022. #HLF22
The Heidelberg Laureate Forum (HLF) is an annual networking conference where 200 carefully selected young researchers in mathematics and computer science spend a week interacting with the laureates of the most prestigious awards in their disciplines: the Abel Prize, ACM A.M. Turing Award, ACM Prize in Computing, Fields Medal, IMU Abacus Medal and Nevanlinna Prize.
The opinions expressed in the videos do not necessarily reflect the views of the Heidelberg Laureate Forum Foundation or any other person or associated institution involved in the making and distribution of these videos.
More information on the Heidelberg Laureate Forum: heidelberg-laureate-forum.org
Follow us on social media!
Blog: scilogs.spektrum.de/hlf
Twitter: twitter.com/HLForum
Instagram: instagram.com/hlforum
Facebook: facebook.com/HeidelbergLaureateForum
