How Robots Learn – an Interview with Jürgen Schmidhuber

This week, we speak with arguably one of the best-known folks in the domain of neural networks: Jurgen Schmidhuber. He's working on a lot of different applications now in heavy industry, self-driving cars, and other spaces.

AI-Based Fraud Detection in Banking - What's Possible

AI-Based Fraud Detection in Banking – Current Applications and Trends

There are numerous AI applications making their way into large banks - and fraud is a major area of nascent AI investment in banking.

AI for Homeland Security - Current Applications

AI at the US Department of Homeland Security – Current Projects

The Department of Homeland Security (DHS) routinely handles large amounts of data. Its mandate is to “keep America safe,” and that encompasses many fronts. This includes anything to do with potential threats to the nation, ranging from border security to cybersecurity, so “big data” would be an understatement. Using machine learning and artificial intelligence technology for Homeland Security was inevitable.

Artificial Intelligence for Pharmaceutical Research and Development

Artificial Intelligence for Pharmaceutical Research and Development

The facilitation of research and development (R&D) is perhaps the most common use case for AI applications in the pharmaceutical industry. There are numerous solutions for extracting and organizing research data from clinical trial notes and other medical documents. Additionally, there is software that can purportedly analyze data from images of drug compounds at the molecular level.

Predicting the ROI of AI – Pitfalls to AI Adoption in the Enterprise (Part 3 of 3)

In the final installment of the "Pitfalls to AI Adoption" series, we talk about predicting the ROI of AI. There are a lot of misconceptions running rampant around the ability to gauge the return on investment of artificial intelligence. In this article, we talk about what can and can't be done when it comes to investing in artificial intelligence and predicting what the return might be.

Investing in AI Mental Health Startups - An Overview

Investing in AI Mental Health Startups – An Overview

According to the National Institute of Mental Health, the United States is currently battling a mental health epidemic. One in every five Americans struggles with mental illness in one form or another. According to the National Institute on Drug Abuse, opioid abuse claims about 115 American lives every day. According to the Center for Workplace Mental Health founded by the American Psychiatric Association, up to 7% of full-time workers in the U.S. suffer from major depressive disorder, the economic cost of which is estimated to be $210.5 billion per year.

Ensuring a Positive Posthuman Transition - Perspectives from Jaan Tallin

Ensuring a Positive Posthuman Transition – Perspectives from Jaan Tallinn

The AI In Industry podcast is often conducted over Skype, and this week's guest happens to be one of its early developers. Jaan Tallinn is recognized as one of the technical leads behind Skype as a platform.

AI Search Applications in Finance - Insights from Customer Interactions

AI Search Applications in Finance – Insights from Customer Interactions

The finance industry has been an early adopter of AI. It is likely that the use of algorithms in trading and the fact that most large financial firms already have teams of software developers aided the transition into data science and AI applications in the industry.

Big Data in the Military - Intelligence Gathering and AI

Big Data in the Military – Preparing for AI

Large volumes of data, managed properly, are a boon for many industries, including the military. It would not be possible to mount effective military operations without knowing the when, where, and what in deploying resources. Big data, therefore, helps the military make better decisions, provided it is not “dark data.”

AI-Based Document Digitization in Healthcare – What’s Possible

Machine vision has numerous use cases within the healthcare industry, including clinical solutions such as medical imaging and medical diagnostics. There are also possibilities in white collar automation such as medical transcription.