Online Event/webinar
SPOTLIGHT ON RESEARCH AT USC VITERBI! A Virtual Series of Technical Talks by Faculty
Welcome to the technical lecture series Spotlight on Research at USC Viterbi. Each talk is anchored by an Indian University or organization. Don’t miss this opportunity to listen to top faculty at USC Viterbi talk about their research.
This is an open and free event - anyone can attend with prior registration.
Abstracts:
- Engineering Safe Autonomous Systems: 4th November by Prof Jyotirmoy Deshmukh
Autonomous cyber-physical systems such as self-driving cars, delivery robots, drones, and medical devices are rapidly becoming pervasive. While techniques based on AI and machine learning have ushered in new and exciting algorithms to engineer intelligence in these systems, unfortunately, these techniques do not provide formal guarantees on the safety of such systems. In this talk, we will look at some interesting new developments in the use of mathematically rigorous formal methods in verifying, designing and analyzing such autonomous cyber-physical systems. We will introduce the audience to a formal logic known as Signal Temporal Logic (STL), and explain how safer autonomous systems can be engineered using STL and its extensions. - Human-centered Multimodal Machine Intelligence: 6th November by Prof Shri Narayanan
Multimodal machine intelligence offers enormous possibilities for helping understand the human condition and in creating technologies to support and enhance human experiences [1, 2]. What makes such approaches and systems exciting is the promise they hold for adaptation and personalization in the presence of the rich and vast inherent heterogeneity, variety and diversity within and across people. Multimodal engineering approaches can help analyze human trait (e.g., age), state (e.g., emotion), and behavior dynamics (e.g., interaction synchrony) objectively, and at scale. Machine intelligence could also help detect and analyze deviation in patterns from what is deemed typical. These techniques in turn can assist, facilitate or enhance decision making by humans, and by autonomous systems. Realizing such a promise requires addressing two major lines of, oft intertwined, challenges: creating inclusive technologies that work for everyone while enabling tools that can illuminate the source of variability or difference of interest. - Smart Collaborative Robots: 10th November by Prof S.K. Gupta
Many emerging robotics applications require the use of multiple collaborating robots to operate under human supervision. To be useful in such applications, collaborative robots will need to (1) program themselves, (2) efficiently learn from the observed performance, (3) safely operate in the presence of uncertainty, (4) appropriately call for help during the execution of challenging tasks, and (5) effectively communicate with humans. This presentation will provide an overview of the advances in physics-aware artificial intelligence that are being used to enable robots to automatically make decisions to meet aforementioned requirements.
Select Slot
ABOUT THIS EVENT
Welcome to the technical lecture series Spotlight on Research at USC Viterbi. Each talk is anchored by an Indian University or organization. Don’t miss this opportunity to listen to top faculty at USC Viterbi talk about their research.
This is an open and free event - anyone can attend with prior registration.
Abstracts:
- Engineering Safe Autonomous Systems: 4th November by Prof Jyotirmoy Deshmukh
Autonomous cyber-physical systems such as self-driving cars, delivery robots, drones, and medical devices are rapidly becoming pervasive. While techniques based on AI and machine learning have ushered in new and exciting algorithms to engineer intelligence in these systems, unfortunately, these techniques do not provide formal guarantees on the safety of such systems. In this talk, we will look at some interesting new developments in the use of mathematically rigorous formal methods in verifying, designing and analyzing such autonomous cyber-physical systems. We will introduce the audience to a formal logic known as Signal Temporal Logic (STL), and explain how safer autonomous systems can be engineered using STL and its extensions. - Human-centered Multimodal Machine Intelligence: 6th November by Prof Shri Narayanan
Multimodal machine intelligence offers enormous possibilities for helping understand the human condition and in creating technologies to support and enhance human experiences [1, 2]. What makes such approaches and systems exciting is the promise they hold for adaptation and personalization in the presence of the rich and vast inherent heterogeneity, variety and diversity within and across people. Multimodal engineering approaches can help analyze human trait (e.g., age), state (e.g., emotion), and behavior dynamics (e.g., interaction synchrony) objectively, and at scale. Machine intelligence could also help detect and analyze deviation in patterns from what is deemed typical. These techniques in turn can assist, facilitate or enhance decision making by humans, and by autonomous systems. Realizing such a promise requires addressing two major lines of, oft intertwined, challenges: creating inclusive technologies that work for everyone while enabling tools that can illuminate the source of variability or difference of interest. - Smart Collaborative Robots: 10th November by Prof S.K. Gupta
Many emerging robotics applications require the use of multiple collaborating robots to operate under human supervision. To be useful in such applications, collaborative robots will need to (1) program themselves, (2) efficiently learn from the observed performance, (3) safely operate in the presence of uncertainty, (4) appropriately call for help during the execution of challenging tasks, and (5) effectively communicate with humans. This presentation will provide an overview of the advances in physics-aware artificial intelligence that are being used to enable robots to automatically make decisions to meet aforementioned requirements.
4th Nov - 10th Nov, 2020
|03:00 PM - 04:00 PM GMT
Online Event/webinar
About this event
Welcome to the technical lecture series Spotlight on Research at USC Viterbi. Each talk is anchored by an Indian University or organization. Don’t miss this opportunity to listen to top faculty at USC Viterbi talk about their research.
This is an open and free event - anyone can attend with prior registration.
Abstracts:
- Engineering Safe Autonomous Systems: 4th November by Prof Jyotirmoy Deshmukh
Autonomous cyber-physical systems such as self-driving cars, delivery robots, drones, and medical devices are rapidly becoming pervasive. While techniques based on AI and machine learning have ushered in new and exciting algorithms to engineer intelligence in these systems, unfortunately, these techniques do not provide formal guarantees on the safety of such systems. In this talk, we will look at some interesting new developments in the use of mathematically rigorous formal methods in verifying, designing and analyzing such autonomous cyber-physical systems. We will introduce the audience to a formal logic known as Signal Temporal Logic (STL), and explain how safer autonomous systems can be engineered using STL and its extensions. - Human-centered Multimodal Machine Intelligence: 6th November by Prof Shri Narayanan
Multimodal machine intelligence offers enormous possibilities for helping understand the human condition and in creating technologies to support and enhance human experiences [1, 2]. What makes such approaches and systems exciting is the promise they hold for adaptation and personalization in the presence of the rich and vast inherent heterogeneity, variety and diversity within and across people. Multimodal engineering approaches can help analyze human trait (e.g., age), state (e.g., emotion), and behavior dynamics (e.g., interaction synchrony) objectively, and at scale. Machine intelligence could also help detect and analyze deviation in patterns from what is deemed typical. These techniques in turn can assist, facilitate or enhance decision making by humans, and by autonomous systems. Realizing such a promise requires addressing two major lines of, oft intertwined, challenges: creating inclusive technologies that work for everyone while enabling tools that can illuminate the source of variability or difference of interest. - Smart Collaborative Robots: 10th November by Prof S.K. Gupta
Many emerging robotics applications require the use of multiple collaborating robots to operate under human supervision. To be useful in such applications, collaborative robots will need to (1) program themselves, (2) efficiently learn from the observed performance, (3) safely operate in the presence of uncertainty, (4) appropriately call for help during the execution of challenging tasks, and (5) effectively communicate with humans. This presentation will provide an overview of the advances in physics-aware artificial intelligence that are being used to enable robots to automatically make decisions to meet aforementioned requirements.
Bachelors only