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SUMMARY:AI in Materials and Manufacturing: Potential\, Pitfalls and Possib
 ilities - Dr Angkur Shaikeea\, CUED
DTSTART:20250207T100000Z
DTEND:20250207T104500Z
UID:TALK228265@talks.cam.ac.uk
CONTACT:46601
DESCRIPTION:"Unlike images and videos\, materials and manufacturing suffer
  from a paucity of data. Exploring opportunities in the emerging field of 
 data-driven materials design\, this talk examines how AI is accelerating m
 aterial discovery and engineering applications. Investigating whether AI c
 an replace extensive testing and computations or even uncover novel alloy 
 compositions\, we are exploring both its potential and its limitations.  W
 hile AI may reduce complexity in numerical modelling\, it sometimes violat
 es physical laws\, raising concerns about its reliability. Addressing the 
 challenge of real-world measurements\, we question whether AI can effectiv
 ely distinguish noise from meaningful data.  Recognising AI’s promise in
  advancing materials discovery and manufacturing\, we are re-evaluating ma
 terial testing in manufacturing science\, refining data collection strateg
 ies\, and critically examining the direct applicability of neural networks
  from computer vision or large language models."\n\nDr Angkur Shaikeea has
  been an Assistant Professor in Industrial Scale-up at the Institute for M
 anufacturing (IfM) for more than one year (Dr Angkur Jyoti Dipanka Shaikee
 a - Institute for Manufacturing (IfM)). Before joining IfM\, he served as 
 the Ashby Postdoctoral Research Fellow\, a position he held subsequent to 
 completing his doctoral studies as the Cambridge India Ramanujan Scholar. 
 His doctoral research was centered on the design of failure-resilient meta
 materials. During his post-doctoral tenure\, Angkur contributed to develop
 ment of X-tomography methods for material testing and design. Currently\, 
 his professional focus lies on industrial scale-up\, complemented by a pro
 found passion for advancing research in mechanics of materials. In his pas
 t-times\, Angkur enjoys music\, poetry and photography.\n
LOCATION:Seminar Room 2\, Alan Reece Building Institute for Manufacturing 
 (IfM)\, 17 Charles Babbage Road\, Cambridge CB3 0FS
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