Chetan Arvind Patil Profile picture
May 12 6 tweets 4 min read Twitter logo Read on Twitter
#Technology #Thread #Semiconductor #Manufacturing #Data

The Semiconductor Critical Data:

1/ - The Semiconductor Industry Generates And Processes A Vast Amount Of Data, From Design And Testing To Manufacturing And Supply Chain Management. ImageImage
2/ - This Data Is Then Used To Provide Insights Into About Product Development, Supply Chain Optimization, And Quality Control. Image
3/ - The Semiconductor Industry Also Has To Focus On Data Security, As The Data It Handles Is Often Proprietary, Confidential, And Sensitive.

- It Is Done By Deploying Various Security Measures, Such As Encryption, Firewalls, And Access Controls. Image
4/ - The Growing Use Of Silicon Devices And Big Data Analytics Is Driving Demand For Semiconductors That Can Process And Store Large Amounts Of Data In Real-Time.

- To Achieve Such A Goal, Silicon Level Data Itself Plays A Crucial Role. Image
5/ - On Another Side, The Semiconductor Industry Also Collaborates And Shares Data Insights With Other Industries. All This To Move Innovation Forward.

- In Summary, Capturing And Analyzing Critical Data Is Crucial To Move Toward New Semiconductor Technologies. Image
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More from @iChetanPatil

Apr 12
#Technology #Thread #Semiconductor #Manufacturing #AI

The Semiconductor AI SoC:

1/ - AI SoC - Artificial System-On-A-Chip - Is Gaining Lot Of Traction.

- Primary Reason Is The Need To Capture, Process, Extract, Learn And Predict, All At A Very High Speed. ImageImage
2/ - Doing So With The Help Of Traditional SoC Is Not Impactful.

- Reason: Traditional SoC Are For Generic Workloads. Image
3/ - AI Applications Bring New Sets Of Workloads.

- These Needs To Be Processed By Mapping The Low-Level Details To The Underlying Architecture.

- Thus, More Precise Computing Is Required. Image
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