Abstract: Computing-In-Memory (CIM) is widely applied in neural networks due to its unique capability to perform multiply-and-accumulate operations within a circuit array. This process directly ...
Abstract: The increasing integration density of resistive random access memory (RRAM) arrays leads to a consequential rise in the significance of electro-thermal and parasitic effects in crossbar ...
Morning Overview on MSN
This new 3D chip could smash the 'memory wall' slowing AI
Artificial intelligence has raced ahead so quickly that the bottleneck is no longer how many operations a chip can perform, but how fast it can feed itself data. The long-feared “memory wall” is now ...
Researchers from the United States’ Stony Brook University, in collaboration with software solutions provider Ecosuite and renewables developer Ecogy Energy, have developed a self-supervised ...
The memory shortage has made PC gaming untenable to all but those with extremely deep pockets. Soon, the skyrocketing price of RAM and storage could stymie any hope of maintaining a semblance of ...
Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine learning algorithm designed to identify physical anomalies in solar ...
AI hardware needs to become more brain-like to meet the growing energy demands of real-world applications, according to researchers. In a study published in Frontiers in Science, scientists from ...
The relentless advancement of artificial intelligence (AI) across sectors such as healthcare, the automotive industry, and social media necessitates the development of more efficient hardware ...
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