MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat ...
Neurophos is developing a massive optical systolic array clocked at 56GHz good for 470 petaFLOPS of FP4 compute ...
Understanding the benefits of matrix converters for EV chargers and a comparison of different matrix converter topologies.
With Moore’s law approaching its end, traditional von Neumann architectures are struggling to keep up with the exceeding performance and memory requirements of artificial intelligence and machine ...
Neurophos is taking a crack at solving the AI industry's power efficiency problem with an optical chip that uses a composite material to do the math required in AI inferencing tasks.
A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...
CLA is a simple toy library for basic vector/matrix operations in C. This project main goal is to learn the foundations of CUDA, and Python bindings, using ctypes as a wrapper, through simple Linear ...
Given the rapidly evolving landscape of Artificial Intelligence, one of the biggest hurdles tech leaders often come across is ...
AMD researchers argue that, while algorithms like the Ozaki scheme merit investigation, they're still not ready for prime ...
From the UCSB The Current article "Innovative Hardware for Rapidly Solving High-order Optimization Problems" The rise of AI, graphic processing, combinatorial optimization, and other data-intensive ...
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