News

Unite.AI1d
Why LLMs Overthink Easy Puzzles but Give Up on Hard Ones
Artificial intelligence has made remarkable progress, with Large Language Models (LLMs) and their advanced counterparts, ...
IEEE17d
An ultra-dense irradiation test structure with a NAND/NOR readout chain for characterizing soft error rates of 14nm combinational logic circuits
Abstract: This paper describes a 14nm test chip employing a novel NAND/NOR readout chain for characterizing soft error rate (SER) in combinational logic gates. The ...
IEEE22d
Memory and Logic soft error improvement using phase transition material assisted transistors
Abstract: Phase transition Material (PTM) assisted logic and SRAM bitcells have been proposed with improved soft error tolerance. The large insulating resistance of ...
GitHub25d
Hands-on Unsupervised Learning Using Python
Author Ankur Patel provides practical knowledge on how to apply unsupervised learning using two simple, production-ready Python frameworks - scikit-learn and TensorFlow. With the hands-on examples and ...
GitHub26d
Example showing use of SWIG to generate wrappers for Java, Python and C#.
The Visual Studio solution can be used to build the C++ code and the generated C# bindings. It also generates the language wrappers for Java and Python, and builds the native interface DLLs too (in ...