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]

Generative AI tools such as Midjourney, Stable Diffusion and DALL-E 2 have astounded us with their ability to produce remarkable images in a matter of seconds.Generative AI tools such as Midjourney, Stable Diffusion and DALL-E 2 have astounded us with their ability to produce remarkable images in a matter of seconds.[#item_full_content]

Co-design, that is, designing software and hardware simultaneously, is one way of attempting to meet the computing-power needs of today’s artificial intelligence applications. Compilers, which translate instructions from one representation to another, are a key piece of the puzzle. A group of researchers at the Chinese Academy of Sciences summarized existing compiler technologies in deep learning co-design and proposed their own framework, the Buddy Compiler.Co-design, that is, designing software and hardware simultaneously, is one way of attempting to meet the computing-power needs of today’s artificial intelligence applications. Compilers, which translate instructions from one representation to another, are a key piece of the puzzle. A group of researchers at the Chinese Academy of Sciences summarized existing compiler technologies in deep learning co-design and proposed their own framework, the Buddy Compiler.[#item_full_content]

In a new study, researchers from Université libre de Bruxelles demonstrate the potential of blockchain technology, known from cryptocurrencies such as Bitcoin and Ethereum, to secure the coordination of robot swarms. In experiments conducted with both real and simulated robots, they show how blockchain technology enables a robot swarm to neutralize harmful robots without human intervention, thus enabling the deployment of autonomous and safe robot swarms. Their work is published in the journal Science Robotics.In a new study, researchers from Université libre de Bruxelles demonstrate the potential of blockchain technology, known from cryptocurrencies such as Bitcoin and Ethereum, to secure the coordination of robot swarms. In experiments conducted with both real and simulated robots, they show how blockchain technology enables a robot swarm to neutralize harmful robots without human intervention, thus enabling the deployment of autonomous and safe robot swarms. Their work is published in the journal Science Robotics.[#item_full_content]

When real-world disasters occur, logistics play a crucial role in emergency disaster management. Emergency material scheduling is a vital piece of the emergency logistics plan. Having a reasonable and efficient emergency material scheduling plan is essential in order to save lives and reduce property losses.When real-world disasters occur, logistics play a crucial role in emergency disaster management. Emergency material scheduling is a vital piece of the emergency logistics plan. Having a reasonable and efficient emergency material scheduling plan is essential in order to save lives and reduce property losses.[#item_full_content]