In geospatial exploration, the quest for efficient identification of regions of interest has recently taken a leap forward with visual active search (VAS). This modeling framework uses visual cues to guide exploration with potential applications that range from wildlife poaching detection to search-and-rescue missions to the identification of illegal trafficking activities.In geospatial exploration, the quest for efficient identification of regions of interest has recently taken a leap forward with visual active search (VAS). This modeling framework uses visual cues to guide exploration with potential applications that range from wildlife poaching detection to search-and-rescue missions to the identification of illegal trafficking activities.[#item_full_content]

Eyewitness statements are one of the key sources for identifying perpetrators—and one of the most error-prone. For example, the Innocence Project—an organization that works to clear up miscarriages of justice in the U.S.—states that incorrect eyewitness statements played a role in 64% of the cases in which it was able to secure the release of people who had been wrongly convicted. Further research is needed to find out why eyewitnesses are so often wrong, and this will require extensive visual material.Eyewitness statements are one of the key sources for identifying perpetrators—and one of the most error-prone. For example, the Innocence Project—an organization that works to clear up miscarriages of justice in the U.S.—states that incorrect eyewitness statements played a role in 64% of the cases in which it was able to secure the release of people who had been wrongly convicted. Further research is needed to find out why eyewitnesses are so often wrong, and this will require extensive visual material.[#item_full_content]

YouTube tends to recommend videos that are similar to what people have already watched. New research has found that those recommendations can lead users down a rabbit hole of extremist political content.YouTube tends to recommend videos that are similar to what people have already watched. New research has found that those recommendations can lead users down a rabbit hole of extremist political content.[#item_full_content]

To effectively assist humans in real-world settings, robots should be able to learn new skills and adapt their actions based on what users require them to do at different times. One way to achieve this would be to design computational approaches that allow robots to learn from human demonstrations, for instance observing videos of a person washing dishes and learning to repeat the same sequence of actions.To effectively assist humans in real-world settings, robots should be able to learn new skills and adapt their actions based on what users require them to do at different times. One way to achieve this would be to design computational approaches that allow robots to learn from human demonstrations, for instance observing videos of a person washing dishes and learning to repeat the same sequence of actions.[#item_full_content]

Copy and paste: It’s a simple concept. You define some text or image on your computer, copy it, and paste it where you want it. Now, think of that new leather sofa you crave. Popular augmented reality (AR) apps allow you to cut and paste an image of the sofa into a photo of your living room to see if you like it before buying.Copy and paste: It’s a simple concept. You define some text or image on your computer, copy it, and paste it where you want it. Now, think of that new leather sofa you crave. Popular augmented reality (AR) apps allow you to cut and paste an image of the sofa into a photo of your living room to see if you like it before buying.[#item_full_content]

The quest for more efficient and versatile computing methods has given rise to innovative solutions, moving beyond traditional digital architectures. The limitations of the von Neumann architecture, which separates memory from processing units, have prompted the exploration of new frontiers in artificial intelligence.The quest for more efficient and versatile computing methods has given rise to innovative solutions, moving beyond traditional digital architectures. The limitations of the von Neumann architecture, which separates memory from processing units, have prompted the exploration of new frontiers in artificial intelligence.[#item_full_content]

The troubling presence of racial bias in AI output may be easier to contain than many thought. Scientists at AI research company Anthropic say a little politeness may just do the trick, at least in some instances.The troubling presence of racial bias in AI output may be easier to contain than many thought. Scientists at AI research company Anthropic say a little politeness may just do the trick, at least in some instances.[#item_full_content]

Artificial intelligence (AI) systems are often depicted as sentient agents poised to overshadow the human mind. But AI lacks the crucial human ability of innovation, researchers at the University of California, Berkeley have found.Artificial intelligence (AI) systems are often depicted as sentient agents poised to overshadow the human mind. But AI lacks the crucial human ability of innovation, researchers at the University of California, Berkeley have found.[#item_full_content]

In today’s data-driven world, data analytics has become a cornerstone of decision-making. However, despite the transformative potential, a significant number of analytics projects fail.In today’s data-driven world, data analytics has become a cornerstone of decision-making. However, despite the transformative potential, a significant number of analytics projects fail.[#item_full_content]

In a study evaluating the bias in OpenAI’s CLIP, a model that pairs text and images and operates behind the scenes in the popular DALL-E image generator, University of Michigan researchers found that CLIP performs poorly on images that portray low-income and non-Western lifestyles.In a study evaluating the bias in OpenAI’s CLIP, a model that pairs text and images and operates behind the scenes in the popular DALL-E image generator, University of Michigan researchers found that CLIP performs poorly on images that portray low-income and non-Western lifestyles.[#item_full_content]