Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The AI Paradox: More Humanlike Means Less Autonomous
  Originally published in Forbes The AI executives are at...
How To Overcome The Confidence-Killer That Destroys Most Predictive AI Projects
  Originally published in Forbes When Henry Castellanos first presented...
You Must Address These 4 Concerns To Deploy Predictive AI
 Originally published in Forbes Most predictive AI projects fail to launch into production. The...
Hybrid AI: Industry Event Signals Emerging Hot Trend
 Originally published in Forbes After decades chairing and keynoting myriad...
SHARE THIS:

8 years ago
Wise Practitioner – Deep Learning World Interview Series: Abbas Chokor at Seagate Technology

 In anticipation of his upcoming conference co-presentation, CNNs:  A Game Changer for Manufacturing?, at Deep Learning World in Las Vegas, June 3-7, 2018, we asked Abbas Chokor, Staff Data Scientist at Seagate Technology, a few questions about his work in deep learning. Q: In your work with deep learning, what do you model (i.e., what is the dependent variable, the behavior or outcome your models predict)? A: As the volumes, variety, and velocity of produced data from our production lines increase, our organization is committed to support its internal stakeholders all over Seagate to make the factory smarter.  Our engineers

This content is restricted to site members. If you are an existing user, please log in on the right (desktop) or below (mobile). If not, register today and gain free access to original content and industry news. See the details here.

Comments are closed.