Semiconductor Engineering

ONNX And Python To C++: State-Of-The-Art Graph Compilation

How a NPU programming model can boost the ability to port new models onto state-of-the-art embedded silicon.
Scientific Research Publishing

Ding, Z., Li, Y., He, Y., Norelli, A., Wu, J., Tresp, V., Ma, Y. and Bronstein, M. (2024) DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time ...

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...
GitHub

Python call graph is not shown when proper calling functions are done

The call graph in python is not shown for constructor function. When a parents methods called in child doesn't reflect the call graph. version of doxygen I tried restructuring code and modifying ...
GitHub

torch.compile graph break due to unsupported builtin filter function

import torch import torch._dynamo as dynamo def toy_example(inputs): out = inputs[0] for inp in filter(lambda x: (x.requires_grad), inputs): out = out * inp out = out ...
SiliconANGLE

Neo4j integrates dozens of graph analytics functions with data in Snowflake

Graph database vendor Neo4j Inc. is teaming up with Snowflake Inc. to make a library of Neo4j’s graph analytics functions available in the Snowflake cloud. The deal announced today allows users to ...
eLife

Eelbrain, a Python toolkit for time-continuous analysis with temporal response functions

Even though human experience unfolds continuously in time, it is not strictly linear; instead, it entails cascading processes building hierarchical cognitive structures. For instance, during speech ...
東京工業大学

Optimizing Continuous-Variable Functions with Quantum Annealing

Quantum annealing (QA) can be competitive to classical algorithms in optimizing continuous-variable functions when running on appropriate hardware, show researchers from Tokyo Tech. By comparing the ...