The solution ideas applying AI for the huge amount of data accumulated at the semiconductor manufacturing fabs are expected at this contest. For example, how to stabilize the yield of semiconductor chips, reduce factory costs, and increase profits, how to remotely manufacture semiconductor chips in consideration of with and after COVID-19, etc.

The Japan Deep Learning Association (JDLA) will be supporting this idea contest.

ISSM will be holding a online mentoring session jointly supported with The Japan Deep Learning Association (JDLA).

The mentoring session will also cover semiconductor chip manufacturing. 

13:30-15:00 (JST), October 30, 2022 (Zoom)

Entry has been closed.

Requirement

- Qualification: Students (Both individuals and teams can participate)

- Evaluation:

Evaluation will be based on the evaluation by the ISSM AI Contest Evaluators and the number of "like" points by ISSM2022 participants. 

- Submission: The applicants are required to submit video presentation in mp4 up to 5-minute to ISSM secretariat.  Embed video, audio, and subtitles are allowed.

Use the contest template. The first page covers presentation title, name of author(s) or team, and selected category (see table below)

Template

- ISSM PowerPoint template for your video

Category for ISSM Semiconductor Manufacturing Fab Data AI utilization Idea Contest

Submission

Upload to the following Drop Box.

You are required to the required files (MP4 & PPT ) into a Zip file.

The file Name must have your team name.

eg. Team-ISSM. zip

Drop BOX

https://www.dropbox.com/request/Pzu51OnW5fKkfxGmymYy

Schedule

Entry due date:　                            November 13, 2022

Joint Mentoring : 　　　               October 30, 2022　13:30-15:30JST Online Zoom

Due of the Movie Submission: 　December  5  2022

Award: will be recognized at the Award Ceremony during ISSM 2022 conference period (December 12-13, 2022).

Mentors

Akira Sato, Board of Directors, The Japan Deep Learning Association (JDLA) , CEO, connectome.design