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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Asia/Kolkata
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
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BEGIN:VEVENT
DTSTAMP:20251215T112831Z
UID:709C17A0-5256-4D69-BD0D-A8F80A94869C
DTSTART;TZID=Asia/Kolkata:20251212T190000
DTEND;TZID=Asia/Kolkata:20251212T200000
DESCRIPTION:AI-accelerated engineering is reshaping how products\, systems\
 , and software are conceived\, designed\, and deployed. With the advent of
  generative models\, engineers can now create optimized designs\, simulate
  performance\, and explore thousands of alternatives in minutes—capabili
 ties that once required extensive manual effort and computation. At the sa
 me time\, autonomous code generation\, AI copilots\, and agentic developme
 nt frameworks are transforming the software lifecycle\, enabling rapid pro
 totyping\, automatic debugging\, and intelligent system integration. This 
 talk explores the convergence of generative design\, machine learning\, an
 d autonomous coding tools\, illustrating how these technologies are redefi
 ning productivity\, creativity\, and reliability in modern engineering. By
  highlighting real-world applications across aerospace\, manufacturing\, e
 lectronics\, and computational science\, the session outlines how AI-drive
 n workflows are accelerating innovation and preparing industries for a new
  era of high-performance\, human-AI collaborative engineering.\n\nSpeaker(
 s): Dr. Purna Chandra Mishra\, \n\nVirtual: https://events.vtools.ieee.org
 /m/520995
LOCATION:Virtual: https://events.vtools.ieee.org/m/520995
ORGANIZER:amiya87@gmail.com
SEQUENCE:15
SUMMARY:AI-Accelerated Engineering & Innovation
URL;VALUE=URI:https://events.vtools.ieee.org/m/520995
X-ALT-DESC:Description: <br /><p>AI-accelerated engineering is reshaping ho
 w products\, systems\, and software are conceived\, designed\, and deploye
 d. With the advent of generative models\, engineers can now create optimiz
 ed designs\, simulate performance\, and explore thousands of alternatives 
 in minutes&mdash\;capabilities that once required extensive manual effort 
 and computation. At the same time\, autonomous code generation\, AI copilo
 ts\, and agentic development frameworks are transforming the software life
 cycle\, enabling rapid prototyping\, automatic debugging\, and intelligent
  system integration. This talk explores the convergence of generative desi
 gn\, machine learning\, and autonomous coding tools\, illustrating how the
 se technologies are redefining productivity\, creativity\, and reliability
  in modern engineering. By highlighting real-world applications across aer
 ospace\, manufacturing\, electronics\, and computational science\, the ses
 sion outlines how AI-driven workflows are accelerating innovation and prep
 aring industries for a new era of high-performance\, human-AI collaborativ
 e engineering.</p>
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