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DESCRIPTION:IEEE SP Schenectady Chapter (Virtual) Lecture on Signal Process
 ing for the AI Era: A Launchpad for the Next Chapter of SPS and Beyond\n\n
 Speaker: Hema Achanta\n\nTitle: Signal Processing for the AI Era: A Launch
 pad for the Next Chapter of SPS and Beyond\n\nAbstract:\n\nArtificial inte
 lligence (AI) is reshaping every technical discipline\, yet many of its mo
 st influential ideas trace directly back to core principles in signal proc
 essing. Convolutional architectures\, attention mechanisms\, spectral meth
 ods\, and time-series models all carry the imprint of classical Signal Pro
 cessing concepts only scaled\, generalized\, and adapted for modern comput
 ational environments. In this talk\, I will highlight these connections an
 d show how a signal processing perspective provides not only historical co
 ntext\, but practical insight into where AI techniques excel\, where they 
 fail\, and why.\n\nThis session also introduces the direction I intend to 
 set for our IEEE SPS Chapter in the coming year. Our focus will be on brid
 ging foundational signal processing with rapidly evolving areas of machine
  learning\, control\, sensing\, and high-dimensional data systems\, while 
 also keeping an eye on emerging frontiers such as quantum signal processin
 g and quantum-inspired algorithms. These technologies are still early\, bu
 t they represent the next horizon where Signal Processing principles may a
 gain play a defining role.\n\nBy examining how signal processing quietly s
 hapes the trajectory of modern AI and how it may influence future quantum 
 frameworks this talk will serve as both a technical deep dive and a previe
 w of the chapter’s priorities rigor\, relevance\, and cross-disciplinary
  collaboration. I look forward to working with all of you as we build a ch
 apter that reflects the breadth and ambition of the SPS community today.\n
 \nSpeaker(s): Hema Achanta\, \n\nVirtual: https://events.vtools.ieee.org/m
 /524340
LOCATION:Virtual: https://events.vtools.ieee.org/m/524340
ORGANIZER:hema999achanta@gmail.com, pappuc@union.edu
SEQUENCE:18
SUMMARY:IEEE SP Schenectady Chapter (Virtual) Lecture on Signal Processing 
 for the AI Era: A Launchpad for the Next Chapter of SPS and Beyond
URL;VALUE=URI:https://events.vtools.ieee.org/m/524340
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;IEEE SP Schenectady Chapter (Virtual) Lect
 ure on Signal Processing for the AI Era: A Launchpad for the Next Chapter 
 of SPS and Beyond&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0in\; li
 ne-height: normal\;&quot;&gt;&lt;strong style=&quot;mso-bidi-font-weight: normal\;&quot;&gt;&lt;span 
 style=&quot;font-size: 10.0pt\; font-family: &#39;Arial&#39;\,sans-serif\; mso-fareast-
 font-family: &#39;Times New Roman&#39;\; mso-font-kerning: 0pt\; mso-ligatures: no
 ne\;&quot;&gt;Speaker:&lt;/span&gt;&lt;/strong&gt;&lt;span style=&quot;font-size: 10.0pt\; font-family
 : &#39;Arial&#39;\,sans-serif\; mso-fareast-font-family: &#39;Times New Roman&#39;\; mso-f
 ont-kerning: 0pt\; mso-ligatures: none\;&quot;&gt; Hema Achanta&lt;/span&gt;&lt;/p&gt;\n&lt;p cla
 ss=&quot;MsoNormal&quot; style=&quot;text-indent: -76.5pt\; line-height: normal\; margin:
  0in 0in 0in 76.5pt\;&quot;&gt;&lt;strong style=&quot;mso-bidi-font-weight: normal\;&quot;&gt;&lt;spa
 n style=&quot;font-size: 10.0pt\; font-family: &#39;Arial&#39;\,sans-serif\; mso-fareas
 t-font-family: &#39;Times New Roman&#39;\; mso-font-kerning: 0pt\; mso-ligatures: 
 none\;&quot;&gt;Title:&lt;/span&gt;&lt;/strong&gt;&lt;span style=&quot;font-size: 10.0pt\; font-family
 : &#39;Arial&#39;\,sans-serif\; mso-fareast-font-family: &#39;Times New Roman&#39;\; mso-f
 ont-kerning: 0pt\; mso-ligatures: none\;&quot;&gt; Signal Processing for the AI Er
 a: A Launchpad for the Next Chapter of SPS and Beyond&lt;/span&gt;&lt;/p&gt;\n&lt;p class
 =&quot;MsoNormal&quot; style=&quot;text-indent: -76.5pt\; line-height: normal\; margin: 0
 in 0in 0in 76.5pt\;&quot;&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot; style=&quot;text-indent:
  -76.5pt\; line-height: normal\; margin: 0in 0in 0in 76.5pt\;&quot;&gt;&lt;span style
 =&quot;font-size: 10.0pt\; font-family: &#39;Arial&#39;\,sans-serif\; mso-fareast-font-
 family: &#39;Times New Roman&#39;\; mso-font-kerning: 0pt\; mso-ligatures: none\;&quot;
 &gt;&lt;strong&gt;&lt;span style=&quot;font-size: 16.0pt\; font-family: &#39;Verdana&#39;\,sans-ser
 if\; color: #b5471f\;&quot;&gt;Abstract:&lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;Mso
 Normal&quot; style=&quot;text-align: justify\;&quot;&gt;Artificial intelligence (AI) is resh
 aping every technical discipline\, yet many of its most influential ideas 
 trace directly back to core principles in signal processing. Convolutional
  architectures\, attention mechanisms\, spectral methods\, and time-series
  models all carry the imprint of classical Signal Processing concepts only
  scaled\, generalized\, and adapted for modern computational environments.
  In this talk\, I will highlight these connections and show how a signal p
 rocessing perspective provides not only historical context\, but practical
  insight into where AI techniques excel\, where they fail\, and why.&lt;/p&gt;\n
 &lt;p class=&quot;MsoNormal&quot; style=&quot;text-align: justify\;&quot;&gt;This session also intro
 duces the direction I intend to set for our IEEE SPS Chapter in the coming
  year. Our focus will be on bridging foundational signal processing with r
 apidly evolving areas of machine learning\, control\, sensing\, and high-d
 imensional data systems\, while also keeping an eye on emerging frontiers 
 such as quantum signal processing and quantum-inspired algorithms. These t
 echnologies are still early\, but they represent the next horizon where Si
 gnal Processing principles may again play a defining role.&lt;/p&gt;\n&lt;p class=&quot;
 MsoNormal&quot; style=&quot;text-align: justify\;&quot;&gt;By examining how signal processin
 g quietly shapes the trajectory of modern AI and how it may influence futu
 re quantum frameworks this talk will serve as both a technical deep dive a
 nd a preview of the chapter&amp;rsquo\;s priorities rigor\, relevance\, and cr
 oss-disciplinary collaboration. I look forward to working with all of you 
 as we build a chapter that reflects the breadth and ambition of the SPS co
 mmunity today.&lt;/p&gt;
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