Natural language processing (NLP) helps computers understand and use human languages. In the early 1900s, a Swiss linguistics professor named Ferdinand de Saussure died, and in the process, almost deprived the world of the concept of “Language as a Science,” which eventually led to natural language processing. From 1906 to 1911, Professor Saussure offered three […]
An Introduction to Reinforcement Learning
In this blog post, I’d like to introduce some basic concepts of reinforcement learning, some important terminology, and a simple use case where I create a game playing AI in my company’s analytics platform. After reading this, I hope you’ll have a better understanding of the usefulness of reinforcement learning, as well as some key […]
How Artificial Intelligence Can Improve Diagnostic Health Care
Click to learn more about author Ahmer Inam. How might artificial intelligence (AI) help physicians diagnose medical conditions more effectively? This question grows more important each year. Approximately 400,000 hospitalized patients experience some type of preventable harm each year, costing the health care industry $20 billion, according to NCBI. Mistakes hurt everyone – first and foremost patients, […]
Understanding GPUs for Deep Learning
Click here to learn more about Gilad David Maayan. Deep learning is the basis for many complex computing tasks, including natural language processing (NLP), computer vision, one-to-one personalized marketing, and big data analysis. Deep learning algorithms are based on neural networks, which commonly have millions of parameters that need to be calculated numerous times in […]
Renesas Releases Major Update of Flexible Software Package
According to a recent press release, “Renesas Electronics Corporation, a premier supplier of advanced semiconductor solutions, today announced the release of a new update of its Flexible Software Package (FSP) for the Renesas RA Family of 32-Bit Arm® Cortex®-M microcontrollers (MCUs). The FSP version 1.0 adds new security and connectivity features, advanced neural network, machine […]
Deep Learning Bests Traditional Models in Risk Stratification
Click here to learn more about Harsh Arora. Risk stratification in healthcare is defined as the process of assigning a risk status to all patients in a practice. The risk status is based on data collected through a multitude of sources such as medical history, health indicators, and the lifestyle of an adult or paediatric […]
Cerebras Systems Unveils the Industry’s First Trillion Transistor Chip
According to a recent press release, “Cerebras Systems, a startup dedicated to accelerating Artificial intelligence (AI) compute, today unveiled the largest chip ever built. Optimized for AI work, the Cerebras Wafer Scale Engine (WSE) is a single chip that contains more than 1.2 trillion transistors and is 46,225 square millimeters. The WSE is 56.7 times […]
Baidu Named Development Partner on Intel Nervana Neural Network Processor for Training
According to a recent press release, “Today at the Baidu Create AI developer conference in Beijing, Intel Corporate Vice President Naveen Rao announced that Baidu* is collaborating with Intel on development of the new Intel® Nervana™ Neural Network Processor for Training (NNP-T). The collaboration involves the hardware and software designs of the new custom accelerator […]
A Deep Dive into Deep Learning in 2019
Click to learn more about author Herman Morgan. If there is any one area in Data Science that has led to the progress of artificial intelligence (AI) and machine learning (ML) in the last few years it is deep learning. It has been around for a while but what makes it so buzzing topic in […]
Fraud Detection Using a Neural Autoencoder
Click to learn more about author Rosaria Silipo. The co-authors of this column were Kathrin Melcher and Maarit Widmann. The Fraud Detection Problem Fraud detection belongs to the more general class of problems — the anomaly detection. Anomaly is a generic, not domain-specific, concept. It refers to any exceptional or unexpected event in the data, […]