The divergence of ASIC designs makes it difficult to run commonly used modern sequencing analysis pipelines due to software ...

A major breakthrough at POSTECH could dramatically boost AI speeds and device efficiency. Researchers have, for the first ...

Research at POSTECH clarifies ECRAM mechanisms, crucial for in-memory computing, promising significant advancements in AI ...

Complex protein interactions at synapses are essential for memory formation in our brains, but the mechanisms behind these processes remain poorly understood. Now, researchers from Japan have ...

The Scalable Memory Architecture Program (SMAP) aims to address the growing disparity between processor speed and memory bandwidth, commonly known as the “memory wall”. This program will fund projects ...

Abstract: In computing-in-memory (CIM) architecture, it is necessary to reliably adjust the precision according to the specific demands of the application, enabling a tradeoff between high precision ...

Abstract: Obtaining high instruction throughput on modern CPUs requires generating a high degree of memory-level parallelism (MLP). MLP is typically reported as a quantitative metric at the DRAM level ...

She is the recipient of the 2022 MAP Fund Award and the 2021 Artadia Los Angeles Award. Her most recent installation, Memory Structure, Scaffold Series, at the Wende Museum in Los Angeles, features ...

ChampSim is an open-source trace based simulator maintained at Texas A&M University and through the support of the computer architecture community.

Accurately and robustly classifying motor imagery (MI) and cognitive imagery (CI) from MEG signals is a significant challenge in the field of brain-computer interface (BCI). Methods: In this study, a ...

It can add entries into an SQLite database and change the structure of that databaase. It also has the ability to search the web when it needs to. It utilizes OpenAI function calling and the responses ...