A group of tech executives, app developers and Silicon Valley philosophers is seeking to streamline the messy matters of the ...
A team of researchers at Penn State have devised a new, streamlined approach to designing metasurfaces, a class of engineered ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...
By combining AI algorithms with microcontroller based edge processing, the system claims to deliver real time and accurate ...
Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents ...
Abstract: Early and accurate detection of melanoma remains a critical challenge in medical imaging. Convolutional Neural Networks (CNNs) have demonstrated superior classification performance, often ...
Abstract: To overcome the limitations of traditional bandpass filter design methods, which heavily rely on designer expertise and predefined topology, this paper proposes an inverse design methodology ...
Large ML models and datasets have necessitated the use of multi-GPU systems for distributed model training. To harness the power offered by multi-GPU systems, it is critical to eliminate bottlenecks ...
Network planning has always been a bit reactive. Engineers analyze historical traffic data, build capacity models, and make infrastructure decisions based on what’s happened before. When congestion ...
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