Green screen technology has been around nearly a century. Some 45 million moviegoers were mesmerized by the special effects of “The Wizard of Oz” when it hit theaters in 1939. The magical scenes in Emerald City were the first to film actors in front of a green screen that later would be replaced with footage of fantastical scenes recorded at a different time and place.Green screen technology has been around nearly a century. Some 45 million moviegoers were mesmerized by the special effects of “The Wizard of Oz” when it hit theaters in 1939. The magical scenes in Emerald City were the first to film actors in front of a green screen that later would be replaced with footage of fantastical scenes recorded at a different time and place.[#item_full_content]

Setting its sights on evolving graphics processing units in a growing universe of generative AI, Intel announced the release of several papers outlining efforts it is pursuing in what observers say is a multibillion-dollar opportunity in coming years for the semiconductor chip giant.Setting its sights on evolving graphics processing units in a growing universe of generative AI, Intel announced the release of several papers outlining efforts it is pursuing in what observers say is a multibillion-dollar opportunity in coming years for the semiconductor chip giant.[#item_full_content]

The public release of AI text generators, such as ChatGPT, has caused an enormous stir among both those who herald the technology as a great leap forward in communication as well as those who prophesy the technology’s dire effects. However, AI-generated text is notoriously buggy, and human evaluation remains the gold-standard in ensuring accuracy, especially when it comes to applications such as generating long-form summaries of complex texts. And yet, there are no accepted standards for human evaluation of long-form summaries, which means that even the gold-standard is suspect.The public release of AI text generators, such as ChatGPT, has caused an enormous stir among both those who herald the technology as a great leap forward in communication as well as those who prophesy the technology’s dire effects. However, AI-generated text is notoriously buggy, and human evaluation remains the gold-standard in ensuring accuracy, especially when it comes to applications such as generating long-form summaries of complex texts. And yet, there are no accepted standards for human evaluation of long-form summaries, which means that even the gold-standard is suspect.[#item_full_content]

Reservoir computing is a promising computational framework based on recurrent neural networks (RNNs), which essentially maps input data onto a high-dimensional computational space, keeping some parameters of artificial neural networks (ANNs) fixed while updating others. This framework could help to improve the performance of machine learning algorithms, while also reducing the amount of data required to adequately train them.Reservoir computing is a promising computational framework based on recurrent neural networks (RNNs), which essentially maps input data onto a high-dimensional computational space, keeping some parameters of artificial neural networks (ANNs) fixed while updating others. This framework could help to improve the performance of machine learning algorithms, while also reducing the amount of data required to adequately train them.[#item_full_content]

From cameras to self-driving cars, many of today’s technologies depend on artificial intelligence to extract meaning from visual information. Today’s AI technology has artificial neural networks at its core, and most of the time we can trust these AI computer vision systems to see things the way we do—but sometimes they falter. According to MIT and IBM research scientists, one way to improve computer vision is to instruct the artificial neural networks that they rely on to deliberately mimic the way the brain’s biological neural network processes visual images.From cameras to self-driving cars, many of today’s technologies depend on artificial intelligence to extract meaning from visual information. Today’s AI technology has artificial neural networks at its core, and most of the time we can trust these AI computer vision systems to see things the way we do—but sometimes they falter. According to MIT and IBM research scientists, one way to improve computer vision is to instruct the artificial neural networks that they rely on to deliberately mimic the way the brain’s biological neural network processes visual images.[#item_full_content]

In 1611, Johannes Kepler—known for his laws of planetary motion—offered a solution to the question concerning the densest possible way to arrange equal-sized spheres. The famed astronomer took on this problem when asked how to stack cannonballs so as to take up the least amount of space. Kepler concluded that the best configuration is a so-called face-centered cubic lattice—an approach commonly used in grocery stores for displaying oranges: Every cannonball should rest in the cavity left by the four cannonballs (lined up in a tight, two-by-two square) lying directly below it. This was merely a conjecture, however, that was not proven until almost 400 years later by a University of Michigan mathematician.In 1611, Johannes Kepler—known for his laws of planetary motion—offered a solution to the question concerning the densest possible way to arrange equal-sized spheres. The famed astronomer took on this problem when asked how to stack cannonballs so as to take up the least amount of space. Kepler concluded that the best configuration is a so-called face-centered cubic lattice—an approach commonly used in grocery stores for displaying oranges: Every cannonball should rest in the cavity left by the four cannonballs (lined up in a tight, two-by-two square) lying directly below it. This was merely a conjecture, however, that was not proven until almost 400 years later by a University of Michigan mathematician.[#item_full_content]

In the modern era, there has been explosive growth in the demand for computing power for cognitive image and video processing. While convolutional neural networks offer improved performance for image processing, they also come with a significant increase in power consumption and memory requirements.In the modern era, there has been explosive growth in the demand for computing power for cognitive image and video processing. While convolutional neural networks offer improved performance for image processing, they also come with a significant increase in power consumption and memory requirements.[#item_full_content]

New research from the University of Montana and its partners suggests artificial intelligence can match the top 1% of human thinkers on a standard test for creativity.New research from the University of Montana and its partners suggests artificial intelligence can match the top 1% of human thinkers on a standard test for creativity.[#item_full_content]

Computer scientists at the University of Massachusetts Amherst recently found that data-visualization experts have no agreed-upon understanding of who makes up one of their largest audiences—novice users. The work, which recently won a coveted Best Paper Award at the Association for Computing Machinery’s conference on Human Factors in Computing Systems (ACM CHI), is an important first step in ensuring more inclusive data visualizations, and thus data visualization that works for all users.Computer scientists at the University of Massachusetts Amherst recently found that data-visualization experts have no agreed-upon understanding of who makes up one of their largest audiences—novice users. The work, which recently won a coveted Best Paper Award at the Association for Computing Machinery’s conference on Human Factors in Computing Systems (ACM CHI), is an important first step in ensuring more inclusive data visualizations, and thus data visualization that works for all users.[#item_full_content]

In the evolving relationship between technology and society, humans have shown themselves to be incredibly adaptable. What once left us breathless, soon becomes integrated into our everyday lives.In the evolving relationship between technology and society, humans have shown themselves to be incredibly adaptable. What once left us breathless, soon becomes integrated into our everyday lives.[#item_full_content]