IEEE North Jersey Section

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-Memory 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. First Talk Title: Developing True Intelligent System: Tools and Case Studies In recent years, we have seen tremendous growth in the AI/ML domain. However, we are still far away from building truly intelligent automated systems. To achieve 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 intelligence. We will discuss the recipe for leveraging RL to create true intelligent systems. As a proof of concept, we discuss two research directions on leveraging RL tools to create intelligent automated agents. Finally, we touch upon some open questions that need to be addressed to realize the dream of true intelligent systems. Second Talk Title: General-Purpose Processing in Memristive Memory Arrays In the last decade, computing systems have faced several challenges that have slowed down their performance improvement substantially. Moreover, we are facing serious challenges and concerns regarding the energy consumption of computing systems. To contain this increasing gap between performance demand and supply alternative paradigms and technologies have been heavily researched. One of the outstanding 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 delay and energy overhead associated with loading data for processing and sending it back to the memory for storing the results. MCC can be performed using any memory technology. Among various memory technologies, memristors stand out as one of the best candidates. They are non-volatile, fast, extremely compact, and compatible with the widely used Complementary Metal-Oxide Semiconductor (CMOS) technology. These properties give them an edge in terms of energy efficiency, speed-up gains, price, and their potential share in the future market, respectively. In this talk, we focus on computation inside the 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 units 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. Co-sponsored by: IEEE North Jersey Section Speaker(s): Dr. Arnob Ghosh, Dr. Nima Taherinejad Agenda: Event Time: 11:00 AM to 1:30 PM 11:00-11:25 AM Registration and Networking 11:25-11:30 AM Opening Remarks by Dr. Shaahin Angizi, Vice-Chair, IEEE CAS/ED Chapter 11:30 AM - 12:00 PM Talk I: Dr. Arnob Ghosh (New Jersey Institute of Technology) Title: Developing True Intelligent System: Tools and Case Studies 12:00-12:45 PM Talk II: Dr. Nima Taherinejad (Heidelberg University, Germany) Title: General-Purpose Processing in Memristive Memory Arrays 12:45 PM - 1:00 PM Networking and Discussion 1:00 PM - 1:30 PM Lunch & Concluding Remarks by Dr. Shaahin Angizi, Vice-Chair, IEEE CAS/ED Chapter Location: CKB 402, New Jersey Institute of Technology, Newark, NJ, USA Online on Zoom, Link: https://njit-edu.zoom.us/j/99695576739 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 all attendees. Please invite your friends and colleagues to take advantage of this Invited Distinguished Lecture. Room: CKB 402, Bldg: CKB Building, 154 Summit Street, Newark, NJ 07102, NJIT, Newark, New Jersey, United States, 07102