Optimizing Projected PCM for Analog Computing-In-Memory Inferencing (IBM)


A new technical paper titled "Optimization of Projected Phase Change Memory for Analog In-Memory Computing Inference" was published by researchers at IBM Research. "A systematic study of the electrical properties-including resistance values, memory window, resistance drift, read noise, and their impact on the accuracy of large neural networks of various types and with tens of millions of wei... » read more

Solving Memory Mapping Issues with Deep RL (Google)


A technical paper titled "Optimizing Memory Mapping Using Deep Reinforcement Learning" was published by Google DeepMind and Google. Abstract: "Resource scheduling and allocation is a critical component of many high impact systems ranging from congestion control to cloud computing. Finding more optimal solutions to these problems often has significant impact on resource and time savings, red... » read more

EV Charging Hardware Attacks


A technical paper titled "ChargeX: Exploring State Switching Attack on Electric Vehicle Charging Systems" was published by researchers at Michigan State University, Washington University in St. Louis, and Texas A&M University. Abstract: "Electric Vehicle (EV) has become one of the promising solutions to the ever-evolving environmental and energy crisis. The key to the wide adoption of E... » read more

Non-Traditional Design of Dynamic Logic Gates and Circuits with FDSOI FETs


A new technical paper titled "Non-Traditional Design of Dynamic Logics using FDSOI for Ultra-Efficient Computing" was published by researchers at University of Stuttgart, UC Berkeley, Indian Institute of Technology Kanpur, and TU Munich, with funding by the German Research Foundation. Abstract "In this paper, we propose a non-traditional design of dynamic logic circuits using Fully-Deplet... » read more

RL-Guided Detailed Routing Framework for Advanced Custom Circuits


A technical paper titled "Reinforcement Learning Guided Detailed Routing for Custom Circuits" was published by researchers at UT Austin, Princeton University, and NVIDIA. "This paper presents a novel detailed routing framework for custom circuits that leverages deep reinforcement learning to optimize routing patterns while considering custom routing constraints and industrial design rules. C... » read more

Cross-Shaped Reconfigurable Transistor (CS-RFET) With Flexible Signal Routing


A new technical paper titled "Cross-Shape Reconfigurable Field Effect Transistor for Flexible Signal Routing" was published by researchers at NaMLab gGmbH, École Centrale de Lyon, and TU Dresden. "A detailed comprehensive study of the cross-shape reconfigurable field effect transistor electrical characteristics are presented. The fabricated device demonstrates nearly equal transistor charac... » read more

Edge HW-SW Co-Design Platform Integrating RISC-V And HW Accelerators


A new technical paper titled "EigenEdge: Real-Time Software Execution at the Edge with RISC-V and Hardware Accelerators" was published by researchers at Columbia University. "We introduce a hardware/software co-design approach that combines software applications designed with Eigen, a powerful open-source C++ library that abstracts linear-algebra workloads, and real-time execution on heterog... » read more

Server Design With Pin-Efficient CXL Interface (Georgia Tech)


A new technical paper titled "A Case for CXL-Centric Server Processors" was written by researchers at Georgia Tech. Abstract: "The memory system is a major performance determinant for server processors. Ever-growing core counts and datasets demand higher bandwidth and capacity as well as lower latency from the memory system. To keep up with growing demands, DDR--the dominant processor inter... » read more

Quantum: Loophole-​Free Bell Test with Superconducting Circuits (ETH Zurich)


A new technical paper titled "Loophole-free Bell inequality violation with superconducting circuits" was published by a group of researchers led by ETH Zurich. Abstract (partial) "Here we demonstrate a loophole-free violation of Bell’s inequality with superconducting circuits, which are a prime contender for realizing quantum computing technology. To evaluate a Clauser–Horne–Shimony... » read more

Performance Of Analog In-Memory Computing On Imaging Problems


A technical paper titled "Accelerating AI Using Next-Generation Hardware: Possibilities and Challenges With Analog In-Memory Computing" was published by researchers at Lund University and Ericsson Research. Abstract "Future generations of computing systems need to continue increasing processing speed and energy efficiency in order to meet the growing workload requirements under stringent en... » read more

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