Abstract: This work introduces FPGA-Par, an efficient graph partitioning algorithm for multi-FPGA systems. FPGA-Par utilizes an iterative balanced partitioning and supernodes transferring algorithm ...
SAN FRANCISCO, Oct 24 (Reuters) - IBM (IBM.N), opens new tab said on Friday it can run a key quantum computing error correction algorithm on commonly available chips ...
Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling by designing the algorithms and rules that govern the learning process.
A few years back, Google made waves when it claimed that some of its hardware had achieved quantum supremacy, performing operations that would be effectively impossible to simulate on a classical ...
Abstract: Neuromorphic processors leverage brain-inspired spike-based sparse computation to gain energy efficiency for edge-node intelligence. Yet, achieving high-accuracy on-chip learning for in-situ ...
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