Abstract: In 1955, John McCarthy and colleagues proposed an AI summer research project with the following aim: “An attempt will be made to find how to make machines use language, form abstractions and concepts, solve kinds of problems now reserved for humans, and improve themselves.” More than six decades later, all of these research topics remain open and actively investigated in the AI community. Kan Deng, Ph.D., Founder and CEO at Beijing Rxthinking Inc. Abstract: This talk will discuss the practice of applied machine learning technology in healthcare, particularly covering its relevance with the ongoing coronavirus pandemic. Although it is a fundamental step for many data science tasks, an efficient and standard framework is absent. Many product companies have an established team of data science experts; many have an established team of UX experts. A set of co-operating systems need to be built that can serve the needs of the users. Abstract: The talk will give an overview of China's AI/ML ecosystem, and a deep dive into its capabilities when it comes to leading-edge research in neural networks. For Futher Information Visit The AI Summit Contact Us Page. Google Chrome is recommended to run the Virtual Conference platform. Today, AI researchers & practitioners increasingly use deep neural networks for many applications across different modalities and areas such as NLP, Vision, Speech, Conversational, and Multimodal AI. Eventbrite - Toronto Machine Learning Society (TMLS) presents Toronto Machine Learning 'Micro-Summit' Series ( TMLS) - Finance Special Focus - Wednesday, 15 April 2020 - … ... Reinforcement Learning Summit Toronto, Canada: Oct 19 - Oct 20, 2021: NA: Discount: AI for Good Summit Toronto, Canada: Nov 11 - Nov 12, 2021: NA: Discount: ODSC West 2021 Our, Director of Data Science, Ashwin Swarup, will be a part of this event as a Speaker. Dubai, UAE. Last November, we had the opportunity to attend the Toronto Machine Learning Summit (TMLS) one of the most respected Machine Learning Conference & Exhibitions. These event series bring together the latest technological advancements as well as practical examples to apply AI to solve challenges in business and society. In this talk, I will provide an overview of the NLP project and share how industry participants gained practical knowledge through pre-training large scale language models, learned theoretical concepts from leading NLP practitioners, and broadened their professional network through collaborations with participating sponsors. 3. Yes, we can provide this upon request. Paco Nathan, Computer Scientist at Derwen Inc. Abstract: We recently conducted an industry survey of firms that have natural language systems in production. What You Will Learn: Practical advice and mistakes from having launched two top tier ML tools companies, Joe Greenwood, Vice President Data Strategy - North America at Mastercard. All sessions will be recorded during the event (provided speaker permissions) and will be made available to attendees approximately 2-4 weeks after the event and be available for 12 months after release. The AI & Machine Learning Strategies Summit is the only event in North America for business leaders to connect with hundreds of like-minded peers to discuss the very latest innovations in artificial intelligence and machine learning. Accounting; Business Administration; Human Resources Management; People Analytics; Risk Management; Chartered Business Valuator Program; Marketing, Communications & Design. Dave S. Ali; Alice R. 28 attendees; MLOps, Production & Engineering World 2020. Thank you for Attending the MMPA 2020 Virtual Conference Many thanks to all those who attended our 2020 MMPA Conference, “AI and Machine Learning For Complex Business Decision Making”. Machine Learning Developers Summit 2021 (MLDS20) is the gold standard for India’s data science & Machine learning ecosystem for gaining exposure to ML tools and frameworks, evaluating new projects, hardware & software challenges of building complex ML systems, the right tools and platforms, languages, software and standards. In addition, the Harvard Business School has written and taught a case study on Jose’s analytics and digital transformation leadership. The benefits of scaling global models through regional data strategies will be illustrated with examples from fraud detection, credit decisioning, economic modeling, and understanding consumer preferences. Abstract: One of the fundamental goals in the emerging field of quantum machine learning is to build trainable quantum computing algorithms. Machine Learning; Business. Abstract: This talk is designed to help you land your first 50 enterprise machine learning customers. This talk distills learnings from building recommendation systems servings millions of customers across multiple companies like Twitter, Twitch, Capital One into a set of commonly used design patterns that you can use right away. 2021 dates coming soon! Abstract: This talk tackles the process of building scalable deep learning pipelines for hundreds of model training on giant time-series datasets and on how it helped saved 80% of the cost along the way. Q: Will you give out the attendee list? Christina Cai, Co-Founder & COO at Knowtions Research and Jennifer Nguyen, Lead Data Scientist at Sun Life. What You Will Learn: How to build a system that utilizes both human and machine learning moderation to efficiently scale to millions of reader comments. 3) Agnostic pipeline that can be reusable for other pricing use cases. Join the AI and Machine Learning Strategies Summit to learn about the latest technologies and imple... 3 °C | Thursday, February 4, 2021 toronto.com Tickets are refundable up to 30 days before the event. #machine_learning The results are pervasive across technology subcategories within the field of natural language: parsing, natural language understanding, sentiment detection, entity linking, speech recognition, abstractive summarization, and so on. Dave S. Ali; Alice R. 28 attendees; MLOps, Production & Engineering World 2020. This talk will focus on our journey to build this model, and how we are able to operationalize the findings quickly using RPA. Some cognitive scientists have proposed that analogy-making is a central mechanism for conceptual abstraction and understanding in humans. to assess its contributions to revenues in eCommerce. This year’s edition of the Machine Learning Developers Summit or MLDS 2020 brought together India’s leading Machine Learning innovators and practitioners who shared ideas and experiences about artificial intelligence (AI) and machine learning (ML) technologies, and developments in the AI/ML space. The conference is designed to shine a spotlight on international research in machine learning and deep learning with an emphasis on related applications, algorithms, and systems. And finally, how do you communicate the ROI of the project once it’s been deployed? Business Leaders, including C-level executives and non-tech leaders, will explore immediate opportunities, and define clear next steps for building their business advantage around their data. Tim is a long-time attendee, contributor and advocate of the Embedded Vision Summit, remembering the event in its early days, long before the move to long trousers. ( See abstract at the bottom). Event in Toronto, ON, Canada by Toronto Machine Learning Society on Thursday, November 2 2017 with 2.2K people interested and 166 people going. These biases may impact the performance of various components of ML systems, from offline training to evaluation and online serving in production systems. Deep Learning Summit. #data_analytics Attendees of the event received full access to all talks and presentations and the opportunity to engage in Q&A sessions after each talk. Firms are using AI to create unprecedented business advantages that are reshaping the global - but more specifically Canadian - economic landscape. We're committed to helping you get the most out of the TMLS. What You Will Learn: How to set up your model monitoring from scratch, and how to prioritize different metrics, Rich Caruana, Principal Researcher at Microsoft Research. #deep_learning Join Canada's Top AI And Machine Learning Strategies Summit 2020! #machinelearning What You Will Learn: This talk outlines the challenges and approaches to designing, developing, and deploying ML systems. Run your chat groups and virtual gatherings! 10:10 – 10:45 Opening Keynote: ROBOTIC PROCESS AUTOMATION SUMMIT. Please register via https://bit.ly/TMLS2020Hopin, We'd like to welcome you to join us in celebrating the top achievements in AI/ML from the perspective of research and applications and business strategy, across all industries. What You Will Learn: Theoretical foundation and interpretation of some of the commonly used heuristics in reinforcement learning such as entropy regularization and Gibbs/Boltzmann/Gaussian exploration. By closing this banner or by continuing to use Eventbrite, you agree. This one-day conference convened 75 cultural heritage professionals (roughly 50 from outside the Library of Congress and 25 staff from within) to discuss the on-the-ground applications of machine learning technologies in libraries, museums, and universities. The World of Learning Conference has cemented itself as a must-attend event for L&D professionals looking for practical solutions to common challenges. #data_science Yes, we will have talks that cover Finance, Healthcare, Retail, Transportation, and other key industries where applied ML has made an impact. The Old Mill, Toronto, ON ... Suite 401 Toronto, Ontario M5V 3A8 Ai & Machine Learning Strategies Summit 2020. Scaling your business (10-50 customers) This presentation is designed to leave you with practical tips to help you acquire new customers⁠, no matter your funding stage. This phenomenon—known as the cold start problem—is a pain point for almost any AI company that wants to scale. Laptop or personal computer, strong, reliable wifi connection. In this talk, I will present some of the challenges in understanding the data and present our platform for content understanding. MLOps, Production & Engineering World 2020. What You Will Learn: Attendees will gain an understanding of the principles of knowledge translation in applied machine learning in healthcare and understand issues related to privacy and ethics as well as legal considerations. This video is unavailable. What You Will Learn: Practical considerations in building real-life recommendation systems, David Duvenaud, Assistant Professor at the University of Toronto, What You Will Learn: You'll learn about the main existing approaches for building flexible time series models, and their strengths and weaknesses, Nathan Killoran, Head of Software & Algorithms at Xanadu Quantum Technologies. recordings), Talks for beginners/intermediate & advanced, Network and connect through our event app, Channels to share your work with the community. Ali Madani, Leader of Machine Learning at Cyclica Incorporation. Deep Learning Summit, Toronto 2020 has 6 exhibitors including Alegion, Algorithmia, and Neurosoph. And if they do, each team often works in a vacuum, siloed from each other. Mon, Jun 15, 9:00 AM EDT. The Toronto Machine Learning Summit (TMLS) ... (2020) as an example of a firm that has developed high ROI artificial intelligence applications. *Content is non-commercial and speaking spots cannot be purchased. Toronto Machine Learning Summit Visit the Innodata virtual event booth November 19th for the presentation “Bogged Down by Annotation, Why SMEs Should Do the Heavy Lifting” with Innodata’s Chief Product & Marketing Officer. Check out who is attending exhibiting speaking schedule & agenda reviews timing entry ticket fees. See who else is going to Toronto Machine Learning Summit 2020, and keep up-to-date with conversations about the event. Abstract: AI-driven, including ML models, provide the capability to process a greater volume and variety of data to power new global platforms and products and to optimize global business operations. This list provides an overview with upcoming ML conferences and should help you decide which one to attend, sponsor or submit talks to. Watch Queue Queue The Virtual Higher Education Summit 2020 (#HES2020) took place from 31 August – 2 September 2020. Business leaders will learn from the experience of those who have successfully implemented ML/AI and actively manage data teams. We will discuss what it means to build equity into data practices and what dismantling systemic racism can look like in technology (and the pitfalls to avoid). 3. You may also find my experience helpful, which is that we have never needed a black box model for a high stakes decision because we have always been able to construct an interpretable model that is at the same level of predictive performance as the best black box we could find. Abstract: Understanding emotion expressed in language has a wide range of applications, from building empathetic chatbots to detecting harmful online behavior. This talk provides a brief overview of Indigenous language technology projects at the National Research Council of Canada, before focusing on one project in particular: the development of neural machine translation systems to translate between Inuktitut and English. AI & Machine Learning Strategies Summit enables senior executives to access cutting edge strategic and technological content, in an environment that is conducive to forging lasting business relationships. Source: Re-Work. Last November, we had the opportunity to attend the Toronto Machine Learning Summit (TMLS) one of the most respected Machine Learning Conference & Exhibitions. Jaya Kawale, Director of Machine Learning at Tubi. Here are the top 22 machine learning conferences in 2020: 1. This talk will introduce our work on Neural Projection computing, an efficient AI paradigm, and a family of efficient Projection Neural Network architectures that yield fast (e.g., quadratic speedup for transformer networks) and tiny models that shrink memory requirements by up to 10000x while achieving near state-of-the-art performance powering vision and NLP applications on billions of mobile devices. Furthermore, transitioning to a career in practicing AL/ML, or managing ML and AI-driven businesses, are less than straightforward. We also live in the age of UX where user-centricity is no longer the exception or a market differentiator - it is now the norm. BACKGROUND. We will share results demonstrating generalizability towards existing emotion benchmarks from other domains. What You Will Learn: How to set out an enterprise approach to the responsible use of data and AI, how to translate that into global data strategy elements and frameworks, and then how to use regional or country-specific data and model building strategies, Marco Túlio Ribeiro, Senior Researcher at Microsoft Research. 1) The risk of using machine learning in healthcare when you can't understand what the model is learned. Matt Sheehan, Fellow at The Paulson Institute. Models degrade and break in production. Other examples with differences in data point label confidence include radiological or histopathological images or image segment labels, and measured resistance to cancer drugs. In this talk, we provide concrete examples of intractable ML tasks that could be enhanced with near-term devices. Q: Will you focus on any industries in particular? The talk ends with a survey of the ML production ecosystem, the economics of open source, and open-core businesses. A "dramatic shift" would be an understatement: since 2018, the field of natural language has undergone a sea change. Data and AI Summit is Europe's largest data & machine learning conference in the world. Abstract: Background: Pricing is a famous business issue in many companies and organizations. Why should I attend the Toronto Machine Learning Society (TMLS) 2020 Annual Conference & Expo: Developments in the field are happening fast: For practitioners, it's important to stay on top of the latest advances; for business leaders, the implementation of new technology brings specific challenges. Machine Learning/deep learning PhDs and researchers, Data Engineers, Machine Learning Engineers, Enterprise innovation labs seeking to grow their teams, Community and university machine learning groups. However, this aspect is often overlooked in practice. CSC 311 Fall 2020: Introduction to Machine Learning Overview. model? How emotions can be detected from textual content for business use cases & research purposes, 2. Location: San Francisco, California. For data practitioners, you'll hear how to cut through the noise and find innovative solutions to technical challenges, learning from workshops, case studies, and P2P interactions. Abstract: Machine learning powers many advanced search and recommendation systems, and user experience strongly depends on how well ML systems perform across all data segments. Abstract: How do you get buy-in from leadership to sponsor your ML project? recordings)- Talks for beginners/intermediate & advanced- Network and connect through our event app- Q+A with speakers- Channels to share your work with the community- Run your chat groups and virtual gatherings!- Hands-on Workshops*PLEASE NOTE BONUS WORKSHOPS ARE ON THE 16TH AND 17TH OF NOVEMBER. During this talk, we’ll discuss the emerging patterns, state-of-the-art methods, and best practices leading companies are using to productionize ML/DL models. I will share some of the technical challenges that we encountered throughout the project and how we overcome them. The huge swathes of data owned by industrial organisations is providing AI and machine learning adopters with limitless opportunities to deliver new products, new business models, and greater insights into their business. Toronto, Canada. Abstract: The ecosystem for deploying SaaS applications includes countless tools for delivering an app to production, monitoring its performance, and deploying in real-time. We create and organise globally renowned summits, workshops and dinners, bringing together the brightest minds in AI from both industry and academia. The capacity to implement and demonstrate high ROI AI projects changes this dynamic. What You Will Learn: How to test NLP models, Patrick Cullen, Director of Data Science and Ling Jiang, Senior Data Scientist at The Washington Post. When will the recordings be available and do I have access to them? Alba Cervera-Lierta, Postdoctoral Researcher at the University of Toronto. Aim: The main objective is to design a pricing product that can help to : 1) Identify groups of elastic and inelastic customers. #data_engineering The 2020 conference will take a special look at the growth of big data and how that will feed machine learning … Finally, I will explain the state of development of experimental quantum computers and future prospects. This presentation will be broken up into three parts: 1. How do you convince your stakeholders to put your ML models into production? Deep Learning Summit Toronto 2021 will bridge the gap between the latest technological research advancements and real-world applications in business and society. Details about data for training own models, Emeli Dral, CTO and Co-founder at Evidently AI. Lots of HR and recruiting conferences include a session or two on AI, but this TAtech Leadership Summit is different. The ultimate list of the top Machine Learning & Deep Learning conferences to attend in 2021. Artificial Intelligence and Machine Learning have become one of the hottest topics in business. Deadline to submit a talk is Sept 15th, however, we will continue to review submissions. Who would switch off Amazon recommendations entirely to do such an assessment? Toronto, Canada. Why You Should Attend: Another conference focusing on deep learning, a subfield of machine learning. Deep Learning Summit. Data Summit Connect 2020 is a new free webinar series taking place June 9 - 11, 2020 and will focus on analytics, machine learning, AI, data lakes, and much more. Developing and employing NLP models in the industry has become progressively more challenging as model complexity increases, data sets grow in size, and computational requirements rise. #data_analytics_training. 5-6 Apr, Middle East Banking AI & Analytics Summit. However, numerous challenges to the acquisition, storage, and utilization of data as well as the development of practical machine learning algorithms and change management principles need to be considered. Speakers this year include Mastercard, Google, Facebook, Uber, LG, Haliburton, Telus, Sunlife, Uber, KFC, and more!. What You Will Learn: How Vector Institute's industry collaborations help sponsors in the adoption of AI advances, specifically in the NLP domain.
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