A new technical paper titled “Assessing Design Space for the Device-Circuit Codesign of Nonvolatile Memory-Based Compute-in-Memory Accelerators” was published by TSMC researchers. “Unprecedented ...
Federated learning provides a framework for multiple participants to collectively train a neural network while maintaining data privacy, and is commonly achieved through homomorphic encryption.
Non-volatile compute-in-memory macros can reduce data transfer between processing and memory units, providing fast and energy-efficient artificial intelligence computations. However, the non-volatile ...
A new technical paper, “A comparative study on power delivery aspects of compute-in/near-memory approaches using DRAM,” was published by researchers at UT Austin. “Compute-in-memory (PIM) mitigates ...
Chip startup d-Matrix Inc. today disclosed that it has raised $275 million in funding to support its commercialization efforts. The Series C round was led by Bullhound Capital, Triatomic Capital and ...
The researchers’ findings point to significant opportunities for GSI Technology as customers increasingly require performance-per-watt gains across various industries, including Edge AI for ...
Chip startup Mythic Inc. today announced that it has closed a $125 million funding round led by DCVC. The venture capital firm was joined by NEA, Softbank KR, Honda Motor Co. and a long list of other ...
The development of deep learning has motivated the advancement of unconventional computing that leverages analog physical systems such as analog electronics, spintronics, and photonics. These ...