AI is just as capable of increasing as it is reducing complexity. The impact of AI depends on where and how it is applied.

The 1990s were a boom time for new programming languages. The rise of the internet and the increasing complexity of software ...

Research team proposed new data placement algorithms for scratch-pad memory (SPM) in embedded systems. Their fine-grained and multi-granularity ...

Kalman Filtering, aka linear quadratic estimation (LQE), is an algorithm that uses a series of measurements, observed over time and including statistical noise, to produce an estimate of unknown ...

To reduce numerical complexity, we propose a linear programming algorithm which closely approximates the original tone injection optimization problem. Our comprehensive numerical results demonstrate ...

Then I’ll discuss 14 of the most commonly used machine learning and deep learning algorithms, and explain how those algorithms relate to the creation of models for prediction, classification ...