[Short Course] MACHINE LEARNING FOR ELECTRON DEVICES

Short Course on

MACHINE LEARNING FOR ELECTRON DEVICES

3-6 October 2023, IIT Roorkee

Four day residential program to learn and explore the role of Machine Learning in shaping the future of the semiconductor EDA.

KEY HIGHLIGHTS

• Lectures from basic machine learning to advanced ideas
• Hands-on tutorials for developing your own Machine learning models
• Excellent networking opportunity
• Interaction with experts from industry and academia
• UG Fellowships up to ₹ 10000/month for selected participants
• Funding opportunity upto INR 40Lacs as start-up seed grant for selected ideas

EVENT SCHEDULE <http://ece.iitr.ac.in/diraclab/mled23/>

Virtual Si Museum /2101/ Electron Devices Time Line

my own view on the electron devices time line. The electron devices scaling: from a single vacuum tube, a BJT, TTL digital ICs to 68719476736 devices in a NAND flash memory card. If you have something else to add, just let me know:

REF:

1. Vacuum Tube GE 9-22 188-5
2. 2N2905A BJT - PNP, -60 V, -600 mA, 600 mW, TO-39
3. TTL 74F00 IC - 5V, quad 2-input NAND gate; series F (=fast) introduced in 1978
4. 64Gb NAND flash memory card