For every side of you.
Get more done through the day with convenient features that maximise your productivity. When you finish your to-do list, the entertainment hub makes it even easier to relax with your favorite shows.
This is more than a monitor. This is the Smart Monitor.
Learn more: http://smsng.co/smart-monitor-Y
Session 2. Vision
“Multimodal and Creative AI Systems”
This talk will cover computer vision systems that humans can interact with via language, and AI systems that can enhance humans in their creative endeavors. In the first part of the talk I will describe our work on learning general visiolinguistic representations that can be used for a variety of vision & language tasks such as answering natural language questions about images, grounding natural language phrases in image regions, describing an image via a caption, etc. In the second part of the talk I will describe our work in automatically generating “dance” sequences from input music, generating abstract visualizations to represent salient aspects of a user’s day and associated emotional states, neuro-symbolic generative art, and evaluating collaboration mechanisms in the context of sketching.
For more information, visit our website:
– Samsung Research: http://smsng.co/sr
Session 1. Natural Language Processing
“Natural Language Understanding and Conversational AI”
Natural language processing (NLP) has made dramatic advances over the last three years, ranging from deep generative models for text-to-speech, such as WaveNet, through the extensive deployment of deep contextual language models, such as BERT. Pre-training with models like BERT has significantly raised the performance of almost all NLP tasks, allowed much better domain adaptation, and brought us human-level performance for tasks like answering straightforward factual questions. New neural language models have also brought much more fluent language generation. On the one hand, we should not be too impressed by these linguistic savants: Things like understanding the consequences of events in a story or performing common sense reasoning remain out of reach. But on the other hand, I will discuss how we now live in an era where there are many good commercial uses of NLP, with much of the heavy lifting already done in the construction of large but downloadable models. I present some of our work on understanding how these models learn to be so proficient, and how we can build new types of pre-trained models that are much more compute efficient. Finally, I turn to conversational agents, where neural models can produce accurate task-based dialog agents and more effective open domain social bots.
For more information, visit our websites:
– Samsung Research: http://smsng.co/sr
Opening Keynote
“Human-Centered AI”
Dr. Sebastian Seung, President and Head of Samsung Research, outlined the areas in which Samsung has been accelerating its AI research to the end of providing real-world benefits to their users, including more traditional AI fields (vision and graphics, speech and language, robotics), on-device AI and the health and wellness field.
For more information, visit our website:
– Samsung Research: http://smsng.co/sr
Have you ever heard of blood oxygen? It is also called SpO2. Here’s how you can use Samsung Health along with Galaxy Watch3 to measure and track blood oxygen.
For more information, visit http://smsng.co/SamsungHealth_y
Make up for the jam sessions he missed this year. Give the gift that turns work into play.
Learn more: http://smsng.co/Note20_holiday
Make up for all the lessons and students she missed. Give the gift that sparks imagination.
Learn more: http://smsng.co/TabS7_holiday
#SamsungAIForum
For more info, visit our page:
#SAIT(Samsung Advanced Institute of Technology): http://smsng.co/sait
People play a central role in the machine learning life cycle. Consequently, building machine learning systems that are reliable, trustworthy, and fair requires that relevant stakeholders—including developers, users, and the people affected by these systems—have at least a basic understanding of how they work. Yet what makes a system “intelligible” is difficult to pin down. Intelligibility is a fundamentally human-centered concept that lacks a one-size-fits-all solution. I will explore the importance of evaluating methods for achieving intelligibility in context with relevant stakeholders, ways of empirically testing whether intelligibility techniques achieve their goals, and why we should expand our concept of intelligibility beyond machine learning models to other aspects of machine learning systems, such as datasets and performance metrics.
#SAIF #SamsungAIForum
For more info, visit our page:
#SAIT(Samsung Advanced Institute of Technology): http://smsng.co/sait