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Data


Generative adversarial networks (GANs) are a well-established AI method to create images, whether photorealistic pictures or abstract collages. However, to date these models have had an important limitation: They can typically only generate images of objects or scenes that are closely related to the training data set. A traditional GAN trained on images of cars …

Back in 2018, the American Civil Liberties Union found out that Amazon’s Rekognition, face surveillance technology used by police and courting departments across the US, shows AI bias. During the test, the software incorrectly matched 28 members of Congress with the mugshots of people who have been arrested for committing a crime, and 40% of the false …

The consumer industries workforce is facing a ‘double disruption’ from automation and the economic impact of COVID-19. The Consumer Industries of the World Economic Forum has collaborated with Unilever, Walmart, Accenture and SkyHive on a pilot study that uses AI to map workers’ skills and match them to emerging job roles. The pilot found people …

Wall Street, venture capitalists, technology executives, data scientists — all have important reasons to understand the growth and opportunity in the artificial intelligence market to access business growth and opportunities. This gives them insights on funds invested in AI and analytics as well potential revenue growth and turnover. Indeed, the growth of AI, continuing research, …

Machine learning is famous for its ability to analyze large data sets and identify patterns. It is basically a subset of artificial intelligence. Machine learning uses algorithms that leverages previous data-sets and statistical analysis to make assumptions and pass on judgments about behavior. The best part, software or computers powered by machine learning algorithms can …

We’ve built and are now sharing the largest available data set designed to help AI researchers develop new systems that can identify image manipulation at scale. The first-of-its-kind Image Similarity data set provides a global benchmark for combating harmful image manipulation and abuses online. The Image Similarity data set contains over 1 million images including …

Imagine if doctors, nurses, and health care researchers had the ability to interrogate both the healthy and diseased states of a patient’s biology and then use that data to uncover a network of causal relationships between historical, molecular, and other data types to approach treatment or develop the right type of drugs. BERG Health is …

New documentation standards in machine learning can enable responsible technology. These risk management strategies highlight how organizations can be compliant while protecting their valuable intellectual property. The growing use of machine learning (ML), within a global drive toward digital acceleration, raises the question, “Who’s minding the store?” We’ve seen many examples of both the power …

Most of us benefit every day from the fact computers can now “understand” us when we speak or write. Yet few of us have paused to consider the potentially damaging ways this same technology may be shaping our culture. Human language is full of ambiguity and double meanings. For instance, consider the potential meaning of …

What does it mean for a machine to learn? In a way, machines learn just like humans. They infer patterns from data through a combination of experience and instruction. In this article, we will give you a sense of the applications for machine learning and explain why Python is a perfect choice for getting started. …