Sparse tensors are the most used representation of sparse multidimensional data. Operations that decompose them, selecting their most important features while reducing their dimension, have become ...

Efficient artificial intelligence (AI) hardware is crucial for resource-constrained applications such as healthcare and transportation, where it enhances performance, reduces costs, and supports ...

Modern computer systems are fast—until they are not. The memory channel bandwidth between DRAM and the CPU has been far behind the CPU performance for more than three decades, and the gap between ...

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If you are running AI workloads, here is something that might surprise you. Your processors are wasting more energy shuffling data around than actually doing the calculations you care about. This ...

A Nature paper describes an innovative analog in-memory computing (IMC) architecture tailored for the attention mechanism in large language models (LLMs). They want to drastically reduce latency and ...

Currently, pdfcpu's API requires file paths for most operations (page extraction, merging, trimming), which limits applications that want to process PDFs entirely in memory. While api.ReadContextFile( ...

The dual role of sleep in preserving past memories while preparing for future ones has been revealed. Sleep is widely known to play an important role in memory processing and consolidation, yet ...

Distinguished Professor Kaoru Inokuchi and Specially Appointed Assistant Professor Khaled Ghandour explain the rationale, goals, and main findings of this research, which focuses on the importance of ...