B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack as Claude Code hype underscores the accelerating race to automate software ...

This guide is written for developers who wish to start programming microcontrollers using a GCC compiler and a datasheet, without using any framework. This guide explains the fundamentals, and helps ...

And then it got me.” A handful of decades and an MIT physics doctorate later, Tan is the chief science officer (CSO) of ...

Abstract: One of the main advantages brought by the Internet of Things (IoT) is the possibility of having large amounts of data from several sources that allow us, once analyzed, to make decisions in ...

The current release of this book can be found at here. This book was desigend originally for the undergraduete course ISE 3434 - "Deterministic Operations Research II" taught at Virginia Tech. I will ...

Abstract: We present and evaluate TTG, a novel programming model and its C++ implementation that by marrying the ideas of control and data flowgraph programming supports compact specification and ...

Data wrangling is a difficult and time-consuming activity in computational notebooks, and existing wrangling tools do not fit the exploratory workflow for data scientists in these environments. We ...

Programming-by-Examples (PBE) involves synthesizing an intended program from a small set of user-provided input-output examples. A key PBE strategy has been to restrict the search to a carefully ...