This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms. All methods ...

Finite State Machines (FSMs) have long been a cornerstone of digital system design, and continuing advancements in logic synthesis have enabled increasingly optimised implementations. At its core, FSM ...

As design size and complexity grows, the design verification effort grows even more. It takes significant amount of time to thoroughly verify complex control logic of a design, which is the key and ...

This article explains how to programmatically encode categorical data for use with a machine learning (ML) prediction model such as a neural network classification or regression system. Suppose you ...

This installment starts a new segment of lessons about state machines. The subject conceptually continues the event-driven theme and is one of my favorites [1,2]. Today, you’ll learn what event-driven ...

Data Prep for Machine Learning: Encoding Dr. James McCaffrey of Microsoft Research uses a full code program and screenshots to explain how to programmatically encode categorical data for use with a ...