Abstract: We introduce Fact-Hash, a novel parameter-encoding method for training on-device neural radiance fields. Neural Radiance Fields (NeRF) have proven pivotal in 3D representations, but their ...

Beijing, Jan. 05, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning ...

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 ...

This is key for domains that are highly structured, like language. But the predominant position-encoding method, called rotary position encoding (RoPE), only takes into account the relative distance ...

We have a table which is ingested from hive. But, the data volumne of doris table is 4 times that of hive table. Hive table's format is orc. I found that a double column takes up the most storage. I ...

Division of Electrical and Computer Engineering, Louisiana State University, Baton Rouge, Louisiana 70803, United States Center for Computation and Technology, Louisiana State University, Baton Rouge, ...

LibraryProposalIssues describing a requested change to the Go standard library or x/ libraries, but not to a toolIssues describing a requested change to the Go standard library or x/ libraries, but ...

This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms. All methods ...

The rapid progress of text-to-image (T2I) diffusion models has made it possible to generate highly detailed and accurate images from text inputs. However, as the length of the input text increases, ...