Abstract: Memristive devices promise an alternative approach toward non-Von Neumann architectures, where specific computational tasks are performed within the memory devices. In the machine learning ...
Bigger, bolder, and more expansive than ever before, the design section, now in its third year, featured 14 Indian studios and two international design galleries. The limited-edition, process-led ...
Abstract: Floating-point arithmetic is extensively used in scientific and engineering applications to approximate real arithmetic. Unfortunately, floating-point arithmetic is not a sound ...
Abstract: Active neutral-point-clamped converter adds open-circuit fault-tolerant (OCFT) capability compared with the widely used original neutral-point-clamped (NPC) topology. However, such ...
Abstract: Industry 5.0 marks the dawn of a new era in manufacturing and computing, where human-driven innovation, Artificial Intelligence (AI) integration, and edge intelligence come together. Leading ...
Recent years have seen a proliferation of specialized ML accelerators—proposed in both academia (e.g., Gemmini, FEATHER) and industry (e.g., Google TPU, Intel AMX)—that depart significantly from ...
Abstract: Digital computing-in-memory (DCIM) has been a popular solution for addressing the memory wall problem in recent years. However, the DCIM design still heavily relies on manual efforts, and ...
Abstract: The field of design and design automation of micro-/nano-circuits and systems has played a pivotal role in advancing information technologies that are an inseparable part of all our lives.
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