The "whiteness" of artificial intelligence (AI) risks a "racially homogenous" workforce as humans create machines skewed by their biases, a study suggests. The University of Cambridge study examined AI in society, including in films, Google searches, stock images and robot voices. Researchers suggested machines have distinct racial identities and this perpetuates "real world" racial stereotypes. Non-abstract AI in internet search engine results usually had either Caucasian features or were the colour white, according to the researchers. Most virtual voices in devices talked in "standard white middle-class English" as "ideas of adding black dialects have been dismissed as too controversial or outside the target market," the study concluded.

In an ideal world, massive quantities of data, such as medical imaging scans, could be shared openly across the globe so that machine learning …

Reports that robots, automation and artificial intelligence are going to put millions of us out of work may sound troubling, but should we believe them? That largely depends on whether we're technology optimists or pessimists. In our Future of Work series we look at how jobs might change in the future. The Snewing family lived in 62 Falkner Street, Liverpool, for more than four decades. They were saddlers working in the late 19th and early 20th centuries.

Machine learning also has a critical role in application life cycle management at the edge.

CNN appears to be making it common practice not to report news that may portray presumptive Democratic nominee Joe Biden in a negative light. Biden raised eyebrows Wednesday morning during an interview with a virtual panel at the convention of the National Association of Black Journalists and National Association of Hispanic Journalists, which was posted in full on Thursday, where he was asked if he has taken a cognitive test. "No, I haven't taken a test. Why the hell would I take a test?" Biden reacted to the question from CBS reporter Errol Barnett, who is Black.

Against this backdrop, artificial intelligence (AI) is not only a tool to help improve the user experience and increase customer satisfaction, it can also …

How artificial intelligence fuels revenue growth management. Companies operating in the Consumer Packaged Goods (CPG) segment work under a …

In a significant advance in the development of Artificial General Intelligence (AGI), the Brain Simulator II neural simulator successfully tested one billion neurons on a desktop computer comprised completely of off-the-shelf components. From a performance perspective, the system processed three billion synapses per second. Brain Simulator II is an open-source software platform for proving the evolution of artificial intelligence (AI) to AGI. Seen as another step toward creating brain-level functionality on computers, the spiking neural models used by the Brain Simulator II are more like biological neurons than traditional AI models and contribute immensely to the efficiency of the program. The computer used for this achievement included an AMD Ryzen Threadripper 3990X CPU running at 2.9Ghz (not overclocked) and 128 Gigabytes of RAM.

Billion-dollar investments in AI are booming. What does this mean for startups looking to AI for their innovative and competitive edge? The strategy seems simple: take one of humanity's perennial problems and fix it with machine learning. Google, Facebook, Netflix, and Uber did it. It can often seem like the obvious question is why not use AI?

They show that citizens are at least as accurate as machine learning, and can even identify tectonic tremors, which previously was only possible for …