In computer security, random numbers are crucial values that must be unpredictable—such as secret keys or initialization vectors (IVs)—forming the foundation of security systems. To achieve this, deterministic random bit generators (DRBGs) are used, which produce numbers that appear random. However, existing DRBGs had limitations in both security (unpredictability against hacking) and output speed.In computer security, random numbers are crucial values that must be unpredictable—such as secret keys or initialization vectors (IVs)—forming the foundation of security systems. To achieve this, deterministic random bit generators (DRBGs) are used, which produce numbers that appear random. However, existing DRBGs had limitations in both security (unpredictability against hacking) and output speed.[#item_full_content]

Yiming Zhang didn’t grow up playing chess. Like many other people, the Carnegie Mellon University Ph.D. student discovered the Netflix series “The Queen’s Gambit” during the pandemic and began playing online. However, he quickly realized how unnatural it felt playing against chess bots.Yiming Zhang didn’t grow up playing chess. Like many other people, the Carnegie Mellon University Ph.D. student discovered the Netflix series “The Queen’s Gambit” during the pandemic and began playing online. However, he quickly realized how unnatural it felt playing against chess bots.[#item_full_content]

Storm surges or collapsing dams—authentic simulations of water flows are not only important for special effects in disaster movies, but could also help to protect coastal regions. For more realistic simulations of fluid motions, researchers at the Technical University of Munich (TUM) have developed a new method that also takes into account the interaction with air. The approach is so efficient that calculations of complex wave motions can even be carried out with standard computers.Storm surges or collapsing dams—authentic simulations of water flows are not only important for special effects in disaster movies, but could also help to protect coastal regions. For more realistic simulations of fluid motions, researchers at the Technical University of Munich (TUM) have developed a new method that also takes into account the interaction with air. The approach is so efficient that calculations of complex wave motions can even be carried out with standard computers.[#item_full_content]

A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk.A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk.[#item_full_content]

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]