To address the slow training and performance bottlenecks, recent work has focused ... which separates the model into a dedicated condition encoder for semantic extraction and a velocity decoder for ...

resulting in homogeneous receptive fields and a single-scale bottleneck that impedes global contextual feature extraction. Second, the skip connections are restricted to same-scale feature maps ...

Before transmission, a data-driven feature encoder is applied to compress the feature dimensions of the COGraph. Upon receiving COGraphs from other robots, the semantic features of each node are ...

The BCH encoder/decoder provides error correction code (ECC) capabilities for applications such as data storage and transmission. BCH is optimal for applications ...

While electric vehicle charging infrastructure is expanding, grid modernisation remains a critical challenge yet to be ...

Inefficient data movement is often the primary bottleneck impacting overall system performance and power consumption. This bottleneck becomes especially evident in AI workloads. Applications such as ...

A project aiming to expand Bitcoin's utility is tackling the collateral requirements of bridging the blockchain to programmable layer 2s. Rollup project Citrea deployed its Clementine Bridge on ...