Research Bits: Nov. 25


3D-printed ESD protection Researchers from Lawrence Livermore National Laboratory developed a printable elastomeric silicone foam for electronics packaging that provides both mechanical and electrostatic discharge (ESD) protection. The team used a 3D printing technique called direct ink writing (DIW), an extrusion process in which a paste with controlled rheological properties such as elast... » read more

Directly Writing and Rewriting Photonic Chips on Low-Loss Phase-Change Thin Films


A technical paper titled “Freeform direct-write and rewritable photonic integrated circuits in phase-change thin films” was published by researchers at University of Washington, University of Maryland, and Tianjin University. Abstract: "Photonic integrated circuits (PICs) with rapid prototyping and reprogramming capabilities promise revolutionary impacts on a plethora of photonic technolo... » read more

A New Phase-Change Memory For Processing Large Amounts Of Data 


A technical paper titled “Novel nanocomposite-superlattices for low energy and high stability nanoscale phase-change memory” was published by researchers at Stanford University, TSMC, NIST, University of Maryland, Theiss Research and Tianjin University. Abstract: "Data-centric applications are pushing the limits of energy-efficiency in today’s computing systems, including those based on... » read more

3D Integration Supports CIM Versatility And Accuracy


Compute-in-memory (CIM) is gaining attention due to its efficiency in limiting the movement of massive volumes of data, but it's not perfect. CIM modules can help reduce the cost of computation for AI workloads, and they can learn from the highly efficient approaches taken by biological brains. When it comes to versatility, scalability, and accuracy, however, significant tradeoffs are requir... » read more

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

Shift Register-In-Memory Architecture


A new technical paper titled "Toward Single-Cell Multiple-Strategy Processing Shift Register Powered by Phase-Change Memory Materials" was published by researchers at Singapore University of Technology and Design and University of Cambridge. Abstract "Modern innovations are built on the foundation of computers. Compared to von Neumann architectures having separate storage and processing uni... » read more

Co-Design View of Cross-Bar Based Compute-In-Memory


A new review paper titled "Compute in-Memory with Non-Volatile Elements for Neural Networks: A Review from a Co-Design Perspective" was published by researchers at Argonne National Lab, Purdue University, and Indian Institute of Technology Madras. "With an over-arching co-design viewpoint, this review assesses the use of cross-bar based CIM for neural networks, connecting the material proper... » read more

Scalable Optical AI Accelerator Based on a Crossbar Architecture


A new technical paper titled "Scalable Coherent Optical Crossbar Architecture using PCM for AI Acceleration" was published by researchers at University of Washington. Abstract: "Optical computing has been recently proposed as a new compute paradigm to meet the demands of future AI/ML workloads in datacenters and supercomputers. However, proposed implementations so far suffer from lack of sc... » read more

New Class of Electrically Driven Optical Nonvolatile Memory


A new technical paper titled "Electrical Programmable Multi-Level Non-volatile Photonic Random-Access Memory" was published by researchers at George Washington University, Optelligence, MIT, and the University of Central Florida. Researchers demonstrate "a multi-state electrically-programmed low-loss non-volatile photonic memory based on a broadband transparent phase change material (Ge2Sb2S... » read more

3 Emerging Technologies: Memristors, Spintronics & 2D Materials


New technical paper titled "Memristive, Spintronic, and 2D-Materials-Based Devices to Improve and Complement Computing Hardware" from researchers at University College London and University of Cambridge. Abstract "In a data-driven economy, virtually all industries benefit from advances in information technology—powerful computing systems are critically important for rapid technological pr... » read more

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