Posts Tagged ‘deep learning’

Ensuring that clinical trial data is accurate and that clinical trials are safe and effective, is a time-consuming and a manually intensive process. Many life sciences companies have implemented home-grown or off-the-shelf clinical data review platforms and defined the reviewing and cleaning processes to be used with them. Many of these systems have proven to […]

A few years ago, BBC Earth highlighted a memory test performed by a Chimpanzee named Ayumu. The Chimp displayed traits of machine learning (ML) when it was shown the numbers 1 to 9 in a randomized order on a screen and able to correctly remember the sequence when the numbers disappeared almost 90% of the […]

In my previous article (see Executive Introduction to Machine Learning), I provided a concise, jargon-free introduction to what is machine learning.   I basically described it as four steps: 1) Take data in; 2) Run it through an algorithm to make a prediction; 3)  help the machine learn to make better predictions; 4) predict something based […]

Embedding Watson in a software platform gives you a chance to create a “great marriage.” Four companies are doing this well: DXC and Customer Care SAP Ariba for Procurement LivePerson with RBS for Customer Care Salesforce and Watson with Orange Bank for Customer Care DXC and Customer Care DXC isa combination of CSC and HP […]

What do I want to watch tonight? What is the next book I might want to read? Those types of questions are usually answered through the suggestions that are embedded into your screen when you’re about to make your selections either on your phone, computer, tablet, or television. Initially, or as I recall, these recommendations were […]

On October 12, 2017, Gluon became available to the public. Microsoft’s partnership with Amazon finally has a chance to outshine Google with its great TensorFlow. Gluon is a deep learning multiplatform tool which currently utilizes Apache MXNet and soon will work on Microsoft Cognitive Toolkit (CNTK) as well as other platforms to come shortly after. […]

We have been familiar with machine learning for several years. It has been used in many aspects of business and life such as natural language recognition, fraud detection and autopiloting. While deep learning is a branch of machine learning, it is a big part of the machine learning family based on data representation other than […]

In July 2016 there was an international joint conference on artificial intelligence held in New York City where many experts and professors meet together to share their recent research and the commercial use cases. Machine learning (ML), deep learning(DL) and natural language processing (NLP) were the hot topics on the agenda. There are some interesting […]