[Eecs_msee] Reminder-TODAY-RE: Research seminar-Professor Fujiyoshi (Chubu Glidden Visiting Professor)-Beyond Explainable AI: Co-evolution of AI and Human

    Hunter, Tiffany huntert1 at ohio.edu
    Fri Aug 26 10:00:40 EDT 2022 
    [cid: image001.png at 01D8B932.B1D26A50 
]

-----Original Appointment-----
From: Hunter, Tiffany
Sent: Tuesday, August 23, 2022 3:39 PM
To: Hunter, Tiffany; Abukamail, Nasseef; Chelberg, David; Juedes, David; Kelsey, Ralph; Liu, Chang; Liu, Jundong; Mourning, Chad; Ostermann, Shawn; Welch, Lonnie; Bartone, Chris; Braasch, Michael; Chenji, Harshavardhan; Irwin, Dennis; Jadwisienczak, Wojciech; Kaya, Savas; Lawrence, Douglas; Rahman, Faiz; Ugazio, Sabrina; Van Graas, Frank; Vasiliadis, Konstantinos; Zhu, Jim; Allwine, Daniel; Goble, James; Kelley, Michael; Triplett, Joseph; Schlicher, Jared; Alder, Frank; DiBenedetto, Mike; Edwards, Jamie; Hawes, Carl; Hopkins, Tammy; Nilles, Paul; Odunaiya, Simbo; Riggs, Cathy; Schultz, Adam; Thomas, Mary; Wilson, Aaron; Dolan, John; Karanth, Avinash; eecs_msee at listserv.ohio.edu 
; eecs_mscs at listserv.ohio.edu 
; ' eecs_phd at listserv.ohio.edu 
'; ' eecs_bscs at listserv.ohio.edu 
'; ' eecs_bsee at listserv.ohio.edu 
'
Subject: Research seminar-Professor Fujiyoshi (Chubu Glidden Visiting Professor)-Beyond Explainable AI: Co-evolution of AI and Human
When: Friday, August 26, 2022 11:50 AM-12:45 PM (UTC-05:00) Eastern Time (US & Canada).
Where: Stocker 103 and; Microsoft Teams Meeting

Title:
Beyond Explainable AI: Co-evolution of AI and Human

Abstract:

Artificial intelligence systems using deep learning have achieved image and speech recognition at performance levels on par with human beings. However, an issue is not being able to understand the basis on which a deep learning system determines its output. In this talk, we introduce Attention Branch Network (ABN), which outputs an attention map, an area that deep learning focuses on when determining inferential results. ABN is a deep learning network that can contribute to improving recognition performance while acquiring the attention mechanism. As application examples of ABN, we introduce ABN's visual explanation of medical diagnosis decisions. Visualization of attention here means viewing the AI's direction of attention. This technology holds great promise as an approach for interpreting the basis for decisions output by an AI system. We also discuss the following topic for AI, such as the co-evolution of AI and humans.

Bio:

Dr. Fujiyoshi received his Ph.D. in Electrical Engineering from Chubu University, Japan, in 1997. From 1997 to 2000 he was a post-doctoral fellow at the Robotics Institute of Carnegie Mellon University, Pittsburgh, PA, USA, working on the DARPA Video Surveillance and Monitoring (VSAM) effort and the humanoid vision project for the HONDA Humanoid Robot. He is now a professor of the Department of Robotics, Chubu University, Japan. From 2005 to 2006, he was a visiting researcher at Robotics Institute, Carnegie Mellon University.

Homepage: http://mprg.jp/en/<https://nam11.safelinks.protection.outlook.com/?url=http%3A%2F%2Fmprg.jp%2Fen%2F&data=05%7C01%7Ceecs_msee%40listserv.ohio.edu%7Cf44bd692b2a2465abaa508da876b5c19%7Cf3308007477c4a70888934611817c55a%7C0%7C0%7C637971192472239856%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=iy46aZ6jObNCScmBI79b51B3h2tEVT4rqlSd0GA0HYY%3D&reserved=0 
>


________________________________________________________________________________
Microsoft Teams meeting
Join on your computer or mobile app
Click here to join the meeting< https://teams.microsoft.com/l/meetup-join/19%3ameeting_MTE0NDlmZGUtNTZiNi00MmIyLTgyZWItYWJiZDI5NzU3MzNi%40thread.v2/0?context=%7b%22Tid%22%3a%22f3308007-477c-4a70-8889-34611817c55a%22%2c%22Oid%22%3a%22685c3f4f-29d5-4141-ada5-0fdeab8480e4%22%7d 
>
Meeting ID: 227 097 089 043
Passcode: WZHpcq
Download Teams< https://www.microsoft.com/en-us/microsoft-teams/download-app 
> | Join on the web< https://www.microsoft.com/microsoft-teams/join-a-meeting 
>
Or call in (audio only)
+1 614-706-6572,,23483404#<tel:+16147066572,,23483404#>   United States, Columbus
Phone Conference ID: 234 834 04#
Find a local number< https://dialin.teams.microsoft.com/8f5f7319-0053-4423-a154-4f8b6e7fb7dd?id=23483404 
> | Reset PIN< https://dialin.teams.microsoft.com/usp/pstnconferencing 
>
[ https://www.ohio.edu/sites/default/files/2018-11/invite_logo_teams.jpg 
]
If you encounter issues with this meeting, please visit the Help link. If you are not able to resolve the problems, please contact the meeting organizer to let them know you are having difficulty.
Learn More< https://aka.ms/JoinTeamsMeeting 
> | Help< https://www.ohio.edu/oit/services/collaboration/teams/help 
> | Meeting options< https://teams.microsoft.com/meetingOptions/?organizerId=685c3f4f-29d5-4141-ada5-0fdeab8480e4&tenantId=f3308007-477c-4a70-8889-34611817c55a&threadId=19_meeting_MTE0NDlmZGUtNTZiNi00MmIyLTgyZWItYWJiZDI5NzU3MzNi@thread.v2&messageId=0&language=en-US 
>
________________________________________________________________________________

-------------- next part --------------
An HTML attachment was scrubbed...
URL: < http://listserv.ohio.edu/pipermail/eecs_msee/attachments/20220826/d1a3d2ce/attachment.html 
>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image001.png
Type: image/png
Size: 482849 bytes
Desc: image001.png
URL: < http://listserv.ohio.edu/pipermail/eecs_msee/attachments/20220826/d1a3d2ce/attachment.png 
>
    More information about the eecs_msee mailing list
    View Site in Mobile | Classic
    Share by: