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Machine Learning in Finance: Challenges, Successes & Opportunities

AI or machine learning is changing the way industries across the spectrum interact with their customers, as well as develop their processes. And nowhere is this more evident than in the financial business. Download a new insideHPC special report that explores the benefits, challenges and considerations involved with adopting machine learning in finance.

How Self-Learning Programs Help Businesses Save Time and Money

In this contributed article, technology writer and blogger Kayla Matthews points out that AI and machine learning can learn from experiences without constant input from programmers, and as a result businesses are increasingly looking for ways to use them to make their operations more efficient and cost-effective. Here is a shortlist of some ways that self-learning programs help businesses save time and money.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – December 2017

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

Where Are We with Computer Vision?

In this article, I’d like to share a nice summary of the state of computer vision from Course 4 “Convolutional Neural Networks” from the new Deep Learning Specialization series on Coursera. Dr. Andrew Ng provides some compelling observations about deep learning and computer vision with the goal of mapping out the future of this increasingly popular technology.

Lexalytics® Launches New AI Development Platform to Help Customers Quickly Build, Customize and Deploy NLP Applications

Lexalytics®, a leader in “words-first” machine learning and artificial intelligence, announced the launch of Lexalytics AI Assembler, a new machine learning platform that simplifies and accelerates the process of gaining insights from the large quantity of natural language data inundating the enterprise. Lexalytics is also launching a limited-availability beta release of Semantria Storage & Visualization, […]

How Computers Learn

This Vienna Gödel Lecture provides a fascinating talk by Peter Norvig, Research Director at Google Inc. in the field of intelligent computers. Norvig talks about his long experience in AI and Machine Learning. The talk explains how computers learn from examples and what are the promises and limitations of these techniques.

Advancing the Financial Services Industry Through Machine Learning

As financial institutions look to be empowered through machine learning, they should first acknowledge the benefits, challenges, and considerations involved. Download the new insideHPC guide that is essential reading for anyone involved in the financial services industry, from those who are beginning to explore the potential of machine learning, to those looking to expand and maximize its use. 

Why Machine Learning Algorithms Fall Short

The video presentation below is “Why Machine Learning Algorithms Fall Short (And What You Can Do About It)” by Jean-François Puget, speaking at MLconf SF 2016. The talk examines how to overcome challenges in creating self-learning systems that perform better and are built to stand the test of time.

ROOT Data Center – Wholesale Provider to Implement AI and Machine Learning for Reduced Downtime Risk

ROOT Data Center, announced that it is the first wholesale data center in the world to use Artificial Intelligence (AI) and machine learning to reduce the risk of data center downtime. ROOT Data Center has partnered with state-of-the-art AI and machine learning technology firm Litbit, within ROOT’s Montréal-based facility.

Machine Learning: A Guide for Non-Technical Readers

Machine learning has become a water-cooler topic across industries. And the chatter about the possibilities of AI and deep learning certainly isn’t slowing down anytime soon. Download the new report from Dataiku that offers a guide to machine learning basics for non-technical readers.