TC5390 is a decoder IP Core compliant with the small block lengths coding scheme for UCI as defined by 3GPP 4G-LTE and 5G-NR specifications. A single Core covers both 4G-LTE and 5G-NR, and is suitable ...

DNN inference requires input Tensors, so a DNN encoder node is used to convert from an input image to Tensors, including any data pre-processing that is required for the DNN model. Once DNN inference ...

Render Network now supports Blender Cycles, offering high-performance decentralized GPU rendering. This integration marks a significant milestone for the open-source 3D ecosystem. Render Network has ...

This is achieved through various optimization techniques, such as increasing the number of loads-in-flight and coalescing memory accesses across GPU threads. The library also takes advantage of cache ...

1 types including REAL (encoding and decoding). Python-ASN1 is free software that is made available under the MIT license. Consult the file LICENSE that is distributed together with this library for ...

We introduce O-SegNet- the robust encoder and decoder architecture for objects segmentation from high-resolution aerial imagery data to address this challenge. The proposed O-SegNet architecture ...

TC5390 is a decoder IP Core compliant with the small block lengths coding scheme for UCI as defined by 3GPP 4G-LTE and 5G-NR specifications. A single ...

This enables an efficient utilization of caches and GPU/SIMD parallelism but leads to a waste of computation time. In this paper, we implement and parallelize batch learning for a Sequence-to- ...

We present multicomponent nanopatterns enabled by block copolymer (BCP) self-assembly, which offers device oriented sub-10-nm scale nanopatterns with arbitrary large-area scalability. In this approach ...

Find more information on the Altmetric Attention Score and how the score is calculated. Photoinduced ordering of disordered block copolymers (BCPs) would provide an on-demand, nonintrusive route for ...