BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20250309T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20241103T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20241106T235434Z UID:D931E945-C3E9-4D00-9E30-20BE63FAE47E DTSTART;TZID=America/New_York:20241104T110000 DTEND;TZID=America/New_York:20241104T133000 DESCRIPTION:The main goal of this seasonal school is to dive deep into the rapidly developing field of in-memory computing with a focus on Artificial intelligence (AI) and cover its cross-layer design challenges from device to algorithms. The IEEE Seasonal School in Circuits and Systems on In-Mem ory Computing (IMC 2024) offers talks and tutorials by leading researchers from multiple disciplines and prominent universities and promotes student short presentations to demonstrate new research and results\, discuss the potential and challenges of the in-memory accelerators\, future research needs\, and directions\, and shape collaborations.\n\nFirst Talk Title: De veloping True Intelligent System: Tools and Case Studies\n\nIn recent year s\, we have seen tremendous growth in the AI/ML domain. However\, we are s till far away from building truly intelligent automated systems. To achiev e a true intelligent agent\, one should better human decisions and should learn continuously with minimal human intervention. In this talk\, we talk about Reinforcement Learning (RL)\, one key tool to achieving this intell igence. We will discuss the recipe for leveraging RL to create true intell igent systems. As a proof of concept\, we discuss two research directions on leveraging RL tools to create intelligent automated agents. Finally\, w e touch upon some open questions that need to be addressed to realize the dream of true intelligent systems.\n\nSecond Talk Title: General-Purpose P rocessing in Memristive Memory Arrays\n\nIn the last decade\, computing sy stems have faced several challenges that have slowed down their performanc e improvement substantially. Moreover\, we are facing serious challenges a nd concerns regarding the energy consumption of computing systems. To cont ain this increasing gap between performance demand and supply alternative paradigms and technologies have been heavily researched. One of the outsta nding alternatives is Memory-Centric Computing (MCC). The main idea of MCC is to process data as close as possible to the memory. This reduces the d elay and energy overhead associated with loading data for processing and s ending it back to the memory for storing the results. MCC can be performed using any memory technology. Among various memory technologies\, memristo rs stand out as one of the best candidates. They are non-volatile\, fast\, extremely compact\, and compatible with the widely used Complementary Met al-Oxide Semiconductor (CMOS) technology. These properties give them an ed ge in terms of energy efficiency\, speed-up gains\, price\, and their pote ntial share in the future market\, respectively. In this talk\, we focus o n computation inside the memory array and using stateful logics. Processin g data inside the array leads to the minimum data travel distance possible \, which maximized the associated benefits. We present an overview of some the computational units that we have proposed\, such as adders\, multipli ers\, sorting systems\, and filters\, some of which are combine MCC with o ther emerging computing paradigms such as stochastic and approximate compu ting.\n\nCo-sponsored by: IEEE North Jersey Section\n\nSpeaker(s): Dr. Arn ob Ghosh\, Dr. Nima Taherinejad \n\nAgenda: \nEvent Time: 11:00 AM to 1:30 PM\n\n11:00-11:25 AM Registration and Networking\n\n11:25-11:30 AM Openin g Remarks by Dr. Shaahin Angizi\, Vice-Chair\, IEEE CAS/ED Chapter\n\n11:3 0 AM - 12:00 PM Talk I: Dr. Arnob Ghosh (New Jersey Institute of Technolog y)\n\nTitle: Developing True Intelligent System: Tools and Case Studies\n\ n12:00-12:45 PM Talk II: Dr. Nima Taherinejad (Heidelberg University\, Ger many)\n\nTitle: General-Purpose Processing in Memristive Memory Arrays\n\n 12:45 PM - 1:00 PM Networking and Discussion\n\n1:00 PM - 1:30 PM Lunch & Concluding Remarks by Dr. Shaahin Angizi\, Vice-Chair\, IEEE CAS/ED Chapte r\n\nLocation: CKB 402\, New Jersey Institute of Technology\, Newark\, NJ\ , USA\n\nOnline on Zoom\, Link: https://njit-edu.zoom.us/j/99695576739\n\n All Welcome: There is no fee/charge for attending IEEE technical seminar. You don't have to be an IEEE Member to attend. Refreshments are free for a ll attendees. Please invite your friends and colleagues to take advantage of this Invited Distinguished Lecture.\n\nRoom: ECEC 100\, Bldg: ECEC Buil ding\, 154 Summit Street\, Newark\, NJ 07102\, NJIT\, Newark\, New Jersey\ , United States\, 07102 LOCATION:Room: ECEC 100\, Bldg: ECEC Building\, 154 Summit Street\, Newark\ , NJ 07102\, NJIT\, Newark\, New Jersey\, United States\, 07102 ORGANIZER:dmisra@njit.edu SEQUENCE:44 SUMMARY:IEEE Circuit and System (CAS) Seasonal School on In-Memory Computin g (IMC 2024) – First Phase URL;VALUE=URI:https://events.vtools.ieee.org/m/443566 X-ALT-DESC:Description: <br /><p class="MsoNormal">The main goal of this se asonal school is to dive deep into the rapidly developing field of in-memo ry computing with a focus on Artificial intelligence (AI) and cover its cr oss-layer design challenges from device to algorithms. The IEEE Seasonal S chool in Circuits and Systems on In-Memory Computing (IMC 2024) offers tal ks and tutorials by leading researchers from multiple disciplines and prom inent universities and promotes student short presentations to demonstrate new research and results\, discuss the potential and challenges of the in -memory accelerators\, future research needs\, and directions\, and shape collaborations.</p>\n<p class="MsoNormal"><strong>First Talk </strong><str ong>Title</strong>: Developing True Intelligent System: Tools and Case Stu dies</p>\n<p class="MsoNormal">In recent years\, we have seen tremendous g rowth in the AI/ML domain. However\, we are still far away from building t ruly intelligent automated systems. To achieve a true intelligent agent\, one should better human decisions and should learn continuously with minim al human intervention. In this talk\, we talk about Reinforcement Learning (RL)\, one key tool to achieving this intelligence. We will discuss the r ecipe for leveraging RL to create true intelligent systems. As a proof of concept\, we discuss two research directions on leveraging RL tools to cre ate intelligent automated agents. Finally\, we touch upon some open questi ons that need to be addressed to realize the dream of true intelligent sys tems.</p>\n<p class="MsoNormal"><strong>Second Talk </strong><strong>Title </strong>: General-Purpose Processing in Memristive Memory Arrays</p>\n<p class="MsoNormal">In the last decade\, computing systems have faced severa l challenges that have slowed down their performance improvement substanti ally. Moreover\, we are facing serious challenges and concerns regarding t he energy consumption of computing systems. To contain this increasing gap between performance demand and supply alternative paradigms and technolog ies have been heavily researched. One of the outstanding alternatives is M emory-Centric Computing (MCC). The main idea of MCC is to process data as close as possible to the memory. This reduces the delay and energy overhea d associated with loading data for processing and sending it back to the m emory for storing the results. MCC can be performed using any memory techn ology. Among various memory technologies\, memristors stand out as one of the best candidates. They are non-volatile\, fast\, extremely compact\, an d compatible with the widely used Complementary Metal-Oxide Semiconductor (CMOS) technology. These properties give them an edge in terms of energy e fficiency\, speed-up gains\, price\, and their potential share in the futu re market\, respectively. In this talk\, we focus on computation inside th e memory array and using stateful logics. Processing data inside the array leads to the minimum data travel distance possible\, which maximized the associated benefits. We present an overview of some the computational unit s that we have proposed\, such as adders\, multipliers\, sorting systems\, and filters\, some of which are combine MCC with other emerging computing paradigms such as stochastic and approximate computing.</p><br /><br />Ag enda: <br /><p>Event Time: 11:00 AM to 1:30 PM</p>\n<p>11:00-11:25 AM Regi stration and Networking</p>\n<p>11:25-11:30 AM Opening Remarks by Dr. Shaa hin Angizi\, Vice-Chair\, IEEE CAS/ED Chapter</p>\n<p><span style="font-fa mily: -apple-system\, BlinkMacSystemFont\, 'Segoe UI'\, Roboto\, Oxygen\, Ubuntu\, Cantarell\, 'Open Sans'\, 'Helvetica Neue'\, sans-serif\;">11:30 AM - 12:00 </span><span style="font-family: -apple-system\, BlinkMacSystem Font\, 'Segoe UI'\, Roboto\, Oxygen\, Ubuntu\, Cantarell\, 'Open Sans'\, ' Helvetica Neue'\, sans-serif\;">PM <strong><em><u>Talk I:</u></em></strong > Dr. Arnob Ghosh (New Jersey Institute of Technology)</span></p>\n<p clas s="MsoNormal"><strong>Title</strong>: Developing True Intelligent System: Tools and Case Studies</p>\n<p><span style="font-family: -apple-system\, B linkMacSystemFont\, 'Segoe UI'\, Roboto\, Oxygen\, Ubuntu\, Cantarell\, 'O pen Sans'\, 'Helvetica Neue'\, sans-serif\;">12:00-12:45 PM <strong><em><u >Talk II:</u></em></strong> Dr. Nima Taherinejad (Heidelberg University\, Germany)</span></p>\n<p class="MsoNormal"><strong>Title</strong>: General- Purpose Processing in Memristive Memory Arrays</p>\n<p class="MsoNormal">1 2:45 PM - 1:00 PM &nbsp\; Networking and Discussion</p>\n<p class="MsoNorm al">1:00 PM - 1:30 PM &nbsp\; Lunch &amp\; Concluding Remarks by Dr. Shaah in Angizi\, Vice-Chair\, IEEE CAS/ED Chapter</p>\n<p class="MsoNormal"><st rong><em>Location: CKB 402\, New Jersey Institute of Technology\, Newark\, NJ\, USA</em></strong></p>\n<p class="MsoNormal"><strong><em>Online on Zo om\, Link: https://njit-edu.zoom.us/j/99695576739</em></strong></p>\n<p><s pan style="font-family: -apple-system\, BlinkMacSystemFont\, 'Segoe UI'\, Roboto\, Oxygen\, Ubuntu\, Cantarell\, 'Open Sans'\, 'Helvetica Neue'\, sa ns-serif\;">All Welcome: There is no fee/charge for attending IEEE technic al seminar. You don't have to be an IEEE Member to attend. Refreshments ar e free for all attendees. Please invite your friends and colleagues to tak e advantage of this Invited Distinguished Lecture.</span></p> END:VEVENT END:VCALENDAR