When you think of “time-lapse video,” what usually springs to mind is a camera fixed on a tripod taking image after image at predetermined intervals. But what if you could do the same thing by taking out your phone and snapping a picture every time you walk past a certain tree on your way to work? No tripod necessary.When you think of “time-lapse video,” what usually springs to mind is a camera fixed on a tripod taking image after image at predetermined intervals. But what if you could do the same thing by taking out your phone and snapping a picture every time you walk past a certain tree on your way to work? No tripod necessary.[#item_full_content]

A team of University of Wisconsin-Madison engineers and computer scientists has identified vulnerabilities in popular automation apps that can make it easy for an abuser to stalk individuals, track their cellphone activity, or even control their devices with little risk of detection.A team of University of Wisconsin-Madison engineers and computer scientists has identified vulnerabilities in popular automation apps that can make it easy for an abuser to stalk individuals, track their cellphone activity, or even control their devices with little risk of detection.[#item_full_content]

Modern robotic systems—in drones or autonomous vehicles, for example—use a variety of sensors, ranging from cameras and accelerometers to GPS modules. To date, their correct integration has required expert knowledge and time-consuming calibration.Modern robotic systems—in drones or autonomous vehicles, for example—use a variety of sensors, ranging from cameras and accelerometers to GPS modules. To date, their correct integration has required expert knowledge and time-consuming calibration.[#item_full_content]

Accurately estimating human pose was among the first tasks addressed by deep learning. Early models like OpenPose focused on localizing human joints as 2D keypoints in image coordinates. Later, Google came up with Mediapipe, followed by YOLOpose, which gained major attention and is widely adopted due to its efficiency and accuracy.Accurately estimating human pose was among the first tasks addressed by deep learning. Early models like OpenPose focused on localizing human joints as 2D keypoints in image coordinates. Later, Google came up with Mediapipe, followed by YOLOpose, which gained major attention and is widely adopted due to its efficiency and accuracy.[#item_full_content]

The work of University of Tartu intersectoral doctoral researcher Eduardo Brito could reshape how we verify truth in the digital world. His research on a decentralized Proof-of-Location system, recently published in Scientific Reports, offers a new way to cryptographically prove where and when something happened, without compromising privacy or relying on centralized authorities.The work of University of Tartu intersectoral doctoral researcher Eduardo Brito could reshape how we verify truth in the digital world. His research on a decentralized Proof-of-Location system, recently published in Scientific Reports, offers a new way to cryptographically prove where and when something happened, without compromising privacy or relying on centralized authorities.[#item_full_content]

Researchers from the Faculty of Data and Decision Sciences at the Technion have developed a technology capable of identifying various aspects of a reader’s interaction with a text that is based solely on their eye movements.Researchers from the Faculty of Data and Decision Sciences at the Technion have developed a technology capable of identifying various aspects of a reader’s interaction with a text that is based solely on their eye movements.[#item_full_content]

When we look at the world, our brain doesn’t just recognize objects such as “a dog” or “a car,” it also understands the broader meaning, like what’s happening, where it’s happening, and how everything fits together. But for years, scientists didn’t have a good way to measure that rich, complex understanding.When we look at the world, our brain doesn’t just recognize objects such as “a dog” or “a car,” it also understands the broader meaning, like what’s happening, where it’s happening, and how everything fits together. But for years, scientists didn’t have a good way to measure that rich, complex understanding.[#item_full_content]

AI is a relatively new tool, and despite its rapid deployment in nearly every aspect of our lives, researchers are still trying to figure out how its “personality traits” arise and how to control them. Large learning models (LLMs) use chatbots or “assistants” to interface with users, and some of these assistants have exhibited troubling behaviors recently, like praising evil dictators, using blackmail or displaying sycophantic behaviors with users. Considering how much these LLMs have already been integrated into our society, it is no surprise that researchers are trying to find ways to weed out undesirable behaviors.AI is a relatively new tool, and despite its rapid deployment in nearly every aspect of our lives, researchers are still trying to figure out how its “personality traits” arise and how to control them. Large learning models (LLMs) use chatbots or “assistants” to interface with users, and some of these assistants have exhibited troubling behaviors recently, like praising evil dictators, using blackmail or displaying sycophantic behaviors with users. Considering how much these LLMs have already been integrated into our society, it is no surprise that researchers are trying to find ways to weed out undesirable behaviors.[#item_full_content]

M.C. Escher’s artwork is a gateway into a world of depth-defying optical illusions, featuring “impossible objects” that break the laws of physics with convoluted geometries. What you perceive his illustrations to be depends on your point of view—for example, a person seemingly walking upstairs may be heading down the steps if you tilt your head sideways.M.C. Escher’s artwork is a gateway into a world of depth-defying optical illusions, featuring “impossible objects” that break the laws of physics with convoluted geometries. What you perceive his illustrations to be depends on your point of view—for example, a person seemingly walking upstairs may be heading down the steps if you tilt your head sideways.[#item_full_content]

When it comes to cybersecurity, humans are often seen as the weakest link, but new research suggests that with a little help, people can do a surprisingly effective job at identifying malware.When it comes to cybersecurity, humans are often seen as the weakest link, but new research suggests that with a little help, people can do a surprisingly effective job at identifying malware.[#item_full_content]