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Abstract: We present a data-driven control architecture designed to encode specific information, such as the presence or absence of an emotion, in the movements of an avatar or robot driven by a human ...
The issue isn’t a lack of innovation in credit scoring, but the fragmented architecture behind BNPL itself. Since not all ...
Tier share their insights on the vital role data plays in financial markets, discussing its importance in key topics such as ...
As enterprises modernize, the question is no longer whether to use SAP or non-SAP tools, but how to make them work together ...
As chip designs become larger and more complex, especially for AI and high-performance computing workloads, it’s often not ...
Emerging AI-powered data discovery and semantic search tools promise to cut through the fragmentation, helping CX teams turn ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, launched a brand-new FPGA-based quantum computing simulation framework founded on a serial-parallel ...
Arista Networks leverages AI and data center growth, posting strong earnings and innovation, but high valuation may limit ...
Abstract: Distributed deep learning (DL) training constitutes a significant portion of workloads in modern data centers that are equipped with high computational capacities, such as GPU servers.