Computing advances and data expansion have suddenly made AI part of everyday life and an invaluable tool for almost every industry. Healthcare, manufacturing, transportation, law enforcement, national defense, and education all stand on the precipice of revolutions due to AI’s evolution – but perhaps no field is so perfectly suited

This article originally appeared on VentureBeat and is reproduced with permission. Even state-of-the-art automatic speech recognition (ASR) algorithms struggle to recognize the accents of people from certain regions of the world. That’s the top-line finding of a new study published by researchers at the University of Amsterdam, the Netherlands Cancer Institute, and the Delft

Artificial intelligence is seeping into every aspect of our lives. AI helps us buy, watch, or listen to the right thing at the right time. It’s suggesting the best news – or articles that will sway our opinion. AI is finding and directing our rideshare, optimizing our food orders, and

This article was originally published at VentureBeat and has been reproduced with permission. Dan Wright just became CEO of DataRobot, a company valued at more than $2.7 billion that is promising to automate the building, deployment, and management of AI models in a way that makes AI accessible to every

Companies often find it hard to find and engage with high-quality, high-caliber professionals for market research and assist their businesses. AI and machine learning may hold the key to solving this problem. Today, NewtonX, a B2B research company, has launched its NewtonX Knowledge Graph, aiming to solve this exact problem.  NewtonX

Step by step, AI has been permeating virtually every application we use. From consumer-facing interactions to more advanced predictive B2B analytics, AI and ML algorithms consume increasing amounts of data. While thousands of companies have begun collecting data in vast quantities, the problem is that these data take a while to clean

At first thought, predictive analytics engines seem like an ideal way to remove human bias from decision-making. After all, these models draw conclusions from data, not stereotypes, so they should be objective in theory. While this seems reasonable at first, researchers discovered that predictive analytics could indeed carry human biases

“Can machines think?” asked Alan Turing in 1950. Yes, they can, if a human can’t tell the difference between a computer and a person. The highly influential yet widely criticized Turing test became one of the most important concepts in AI philosophy.  Seventy years later, AI applications are part of

To stay competitive in today’s world, organizations must have their fingers on their customers’ pulse at all times. Fortunately, increasing amounts of data about consumer preferences and behaviors allow marketing teams to identify the evolution of markets and customer demands. Effectively using big data for marketing efforts is now far

On March 8 every year, International Women’s Day is a global day celebrating women’s social, economic, cultural, and political achievements, and that – of course – includes women in AI. The tech industry and the AI sector face an ongoing and constant diversity and equality crisis. In a study from