algorithm designers develop a floating-point model of an algorithm, and then convert that to a fixed-point model, typically in C++. At this point in the traditional flow, software developers ...

C++ models generated by M2C-Accelerator can be ... “Companies spend typically 10x their algorithm development time ensuring the algorithmic model, system-level model, RTL model and gate level models ...

A model for evaluating product-recommendation algorithms suggests that trial and error get it right. Researchers will present a paper that applies their model to the ...

This was the first change to C++’s sorting algorithms in more than a decade ... the reinforcement-learning model that DeepMind trained to master games such as Go and chess.

Developing fixed-point algorithm descriptions used to require tradeoffs between design functionality, modeling of numerical precision, and validation (simulation) speed. Now, a new class of C++ ...

So let's go and exploit it and design a better, simple, basic recommendation algorithm, and it will be something very different. But it turns out that under that model, the standard recommendation ...