Our first-ever TWIMLfest will feature a wide variety of engaging content—from live keynote interviews, panel discussions, interactive learning sessions, to enjoyable entertainment experiences. We’re still adding sessions, so be sure to check back often. Also, be sure to check out our “unconference” session proposals and vote for your favorites. The top-voted sessions will be added to the official event agenda.
All Sessions
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Posts Found: 19
Keynote Interview: Shakir Mohamed
Tuesday, October 13th, 2020
In this Keynote Interview, we’re joined by Shakir Mohamed, Senior Research Scientist at DeepMind, as well as Leader of Deep Learning Indaba a non-profit organisation whose mission is to Strengthen African Machine Learning and Artificial Intelligence. In our conversation with Shakir, we’ll explore his journey building up the Indaba community, as well as his current research on decolonisation In Artificial Intelligence.
AI for Good Hackathon: End Modern Slavery!
October 14th - 28th, 2020
In 2018, the Global Slavery Index found that there were 40.3 M people in modern slavery, of whom 25M were in forced labor producing computers, clothing, agricultural products, raw materials, etc and 15M were in forced marriage. In order to facilitate measures to end modern slavery the United Nations demands companies to take immediate measures and state clear policies. The Future Society is an independent nonprofit think-and-do tank curating an up-to-date repository of >16K of those statements. Use your NLP-Skills predict whether those statements meet the required standards!
Accessibility and Computer Vision
Wednesday, October 14th, 2020
Digital imagery is pervasive today. More than a billion images per day are produced and uploaded to social media sites, with many more embedded within websites, apps, digital documents, and eBooks. Engaging with digital imagery has become fundamental to participating in contemporary society, including education, the professions, e-commerce, civics, entertainment, and social interactions. However, most digital images remain inaccessible to the 39 million people worldwide who are blind. AI and computer vision technologies hold the potential to increase image accessibility for people who are blind, through technologies like automated image descriptions. The speakers share their perspectives as people who are both technology experts and are blind, providing insight into future directions for the field of computer vision for describing images and videos for people who are blind.
AI and SocietyComputer VisionEthics, Fairness and Bias in AI
Wellness Wednesdays
October 14th - 28th, 2020
Middle of the week energy boost! Join us for Meditation + Yoga. Take some time to clear your mind for a few minutes during these short, guided meditation with Khalilah Charrington. Following the meditation, stick around for a brief and peaceful yoga flow to carry you through the rest of the day.
Codenames Bot Competition
October 14th - 28th, 2020
Bring your AI to a Codenames competition! Every contestant will submit an AI-powered bot. Bots will need to be able to both give 1-word clues and interpret their teammate-bot's clues. Contestants' bots will be randomly paired up and compete against another team of bots. Games will be simulated according to the regular rules of Codenames to determine which bot is best! Will the winner take a word embeddings approach? A reinforcement learning approach? Something off the wall?
Keynote Interview: Suzana Ilić
Thursday, October 15th, 2020
Join this live keynote interview for a discussion with Suzana Ilić, computational linguist and founder of MLT (Machine Learning Tokyo). Sam and Suzana will explore her work applying NLP techniques to accelerating biomedical research at Causaly, as well as her experiences building the popular MLT community.
Keynote Interview: Jeremy Howard
Tuesday, October 20th, 2020
Join Sam and friend of the show Jeremy Howard, creator of the popular fast.ai coursework, for a Keynote Interview! Sam and Jeremy will explore topics such as the importance of building a strong community as a foundation, the current landscape and future of AI education, and of course, the recently released fast.ai course: Practical Deep Learning for Coders.
Deep Learning in Medical Imaging
Tuesday, October 20th, 2020
Over the last few years, Deep Learning technologies have made a tremendous impact on Medical Imaging. In this session participants will hear about some of the latest advances in the following areas: medical image segmentation and classification and object detection in medical images. A review of these advances will be presented via a detailed analysis of research papers from prestigious journals such as Nature Methods.
Coded Bias: Film Screening
Wednesday, October 21st, 2020
Film Synopsis: Modern society sits at the intersection of two crucial questions: What does it mean when artificial intelligence increasingly governs our liberties? And what are the consequences for the people AI is biased against? When MIT Media Lab researcher Joy Buolamwini discovers that most facial-recognition software does not accurately identify darker-skinned faces and the faces of women, she delves into an investigation of widespread bias in algorithms. As it turns out, artificial intelligence is not neutral, and women are leading the charge to ensure our civil rights are protected. Panel Description: This panel discussion will explore the societal implications of the biases embedded within AI algorithms. The conversation will discuss examples of AI systems with disparate impact across industries and communities, what can be done to mitigate this disparity, and opportunities to get involved. Panelists, including Director Shalini Kantayya, Meredith Broussard, and Deb Raji will each share insight into their experience working on and researching bias in AI systems and the sometimes oppressive and dehumanizing impact they can have on people in the real world.
AI and the Arts
AI For Industrial Applications
Wednesday, October 21st, 2020
In this session of TWiMLFest, we’re exploring how AI is used in industrial applications. The session is hosted by Arnab Biswas and Kai Lichtenberg. Arnab is a Data Scientist working at Carrier Global Corporation, a leading manufacturer of Heating, Ventilation and Air Conditioning (HVAC) equipment. Kai is CTO and Data Scientist at sentin, a startup working on Predictive Quality in the field of industrial radiology. In the first part, we’ll talk about our experience of applying AI in industrial use cases and how the approach differs from areas more akin to IT. In the second part, we’re going to explore two use cases: Predictive Maintenance and Predictive Quality.
Trivia Tournament!
Wednesday, October 21st, 2020
Pub style trivia with an AI-bent! Grab your teammates and head over for this virtual trivia session hosted by Sam Charrington. We’ve got the perfect mix of pop culture, AI references, and whatever questions Sam wants to throw in about Roman history. We encourage you to sip whatever you like to sip as we power through this trivia trip.
Show and Tell! ML/AI Project Lightning Talks
October 22nd - 29, 2020
In this session we invite any and all from expert to beginner to share their ML experience, knowledge and projects. Presentations will be 2 minutes, focused on your one-page-brief, followed by up to 10 minutes of open discussion. During discussion you should be prepared to share code if relevant but not run it. The goal is to provoke interesting project related discussion to help the presenting and audience learn and progress their knowledge and skills. Any and all ML topic areas are welcome
Learn by Leading: Starting and Hosting a Study Group
Friday, October 23rd, 2020
This session will provide members of the community with an overview of how to start and lead a TWIML study group. Topics will include: Proposing a study group topic; Defining the scope and timeline for your study group; Best practices for encouraging participation and engagement; Operational logistics of running a study group; followed by a Q&A session. Study group host panelists will explore these topics and more, moderated by Jose Ochoa, Head of Education (TWIML).
AI and the Fight Against Climate Change
Friday, October 23rd, 2020
This panel will focus on the latest developments in the fight to slow climate change with an emphasis on: - The application of AI and ML to track, measure, and address the challenges of climate change - Energy policy and the implications on deep learning - High impact opportunities and actionable ways to get involved in climate change - How GANs can help us visualize climate change and its impact
AI and Society
Coded Bias: Group Film Screening & Director Q&A
Saturday, October 24th, 2020
Film Synopsis: Modern society sits at the intersection of two crucial questions: What does it mean when artificial intelligence increasingly governs our liberties? And what are the consequences for the people AI is biased against? When MIT Media Lab researcher Joy Buolamwini discovers that most facial-recognition software does not accurately identify darker-skinned faces and the faces of women, she delves into an investigation of widespread bias in algorithms. As it turns out, artificial intelligence is not neutral, and women are leading the charge to ensure our civil rights are protected. Panel Description: This panel discussion will explore the societal implications of the biases embedded within AI algorithms. The conversation will discuss examples of AI systems with disparate impact across industries and communities, what can be done to mitigate this disparity, and opportunities to get involved. Panelists, including Director Shalini Kantayya, Meredith Broussard, and Deb Raji will each share insight into their experience working on and researching bias in AI systems and the sometimes oppressive and dehumanizing impact they can have on people in the real world.
Machine Learning for Sustainable Agriculture
Monday, October 26th, 2020
Machine Learning is transforming global agriculture and being used to address key challenges around sustainability, food security, and climate change. Precision agriculture driven by machine learning has key economic, environmental, and social impact. For example, early detection and prediction of nutrient deficient areas enables farmers to treat only the affected areas, improving yields, minimizing cost spent on chemicals, and reducing the amount of chemicals introduced into the environment. We will explore challenges and opportunities around machine learning in agriculture from both sides: why is machine learning hard in this domain, how does addressing these challenge broader our understanding of machine learning generally, what challenges exist around adoption within the global agricultural community? This session will feature speakers from both academia and industry and discussion around all of these areas.
Keynote Interview: Sal Khan
Tuesday, October 27th, 2020
In this Keynote Interview, we’ll explore Sal Khan’s perspective on how to build a large educational platform like Khan Academy, the role of community in his efforts, and what he does to best serve that community, and of course, how online and community education has and will continue to evolve during the COVID19 pandemic.
So You Want to Teach an AI/ML Course?
Thursday, October 29th, 2020
This panel will bring together AI/ML practitioners and instructors from various specializations to discuss their journey in creating an artificial intelligence / machine learning course for the community. Topics to be discussed include: - How did you identify the knowledge or skill gap addressed by your course? - What were the steps you took to refine the scope and timeline of your course? - Were there any particular resources you found particularly helpful in developing best practices for student engagement and learning? - What tools and resources did you find particularly helpful when designing and implementing your course? Q&A
Comedy Night: Singu-hilarity @ TWIMLfest
Friday, October 30th, 2020
Get some laughs in and join us for this collaboration with Singu-hilarity! This virtual improv and comedy show is crafted by Naomi Fitter, Professor at the Oregon State University and creator of Jon the Robot - a bot that got really funny after being trained in humor with NLP techniques. Tune in to see a variety of performances from comedians, improv actors, musicians, and more. The session will conclude with a Q&A session with participants hosted by Sam Charrington.
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