Transformer architectures have facilitated the development of large-scale and general-purpose sequence models for prediction tasks in natural language processing and computer vision, for example, GPT-3 and Swin Transformer.Transformer architectures have facilitated the development of large-scale and general-purpose sequence models for prediction tasks in natural language processing and computer vision, for example, GPT-3 and Swin Transformer.Computer Sciences[#item_full_content]
A research team led by Prof. Sun Zhong at Peking University has reported an analog hardware solution for real-time compressed sensing recovery. It has been published as an article titled, “In-memory analog solution of compressed sensing recovery in one step” in Science Advances.A research team led by Prof. Sun Zhong at Peking University has reported an analog hardware solution for real-time compressed sensing recovery. It has been published as an article titled, “In-memory analog solution of compressed sensing recovery in one step” in Science Advances.[#item_full_content]
A team of computer scientists at Google’s DeepMind project in the U.K., working with a colleague from the University of Wisconsin-Madison and another from Université de Lyon, has developed a computer program that combines a pretrained large language model (LLM) with an automated “evaluator” to produce solutions to problems in the form of computer code.A team of computer scientists at Google’s DeepMind project in the U.K., working with a colleague from the University of Wisconsin-Madison and another from Université de Lyon, has developed a computer program that combines a pretrained large language model (LLM) with an automated “evaluator” to produce solutions to problems in the form of computer code.[#item_full_content]
A team of computer scientists at Google’s DeepMind project in the U.K., working with a colleague from the University of Wisconsin-Madison and another from Université de Lyon, has developed a computer program that combines a pretrained large language model (LLM) with an automated “evaluator” to produce solutions to problems in the form of computer code.A team of computer scientists at Google’s DeepMind project in the U.K., working with a colleague from the University of Wisconsin-Madison and another from Université de Lyon, has developed a computer program that combines a pretrained large language model (LLM) with an automated “evaluator” to produce solutions to problems in the form of computer code.Computer Sciences[#item_full_content]
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]
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.Computer Sciences[#item_full_content]
Tesla has recalled 2 million US vehicles over concerns about its autopilot function. Autopilot is meant to help with maneuvers such as steering and acceleration, but still needs input from the driver. It comes just a few days after a whistle-blowing former Tesla employee cast doubt on the safety of the autopilot function.Tesla has recalled 2 million US vehicles over concerns about its autopilot function. Autopilot is meant to help with maneuvers such as steering and acceleration, but still needs input from the driver. It comes just a few days after a whistle-blowing former Tesla employee cast doubt on the safety of the autopilot function.Automotive[#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]
Artificial intelligence went mainstream in 2023—it was a long time coming yet has a long way to go for the technology to match people’s science fiction fantasies of human-like machines.Artificial intelligence went mainstream in 2023—it was a long time coming yet has a long way to go for the technology to match people’s science fiction fantasies of human-like machines.Machine learning & AI[#item_full_content]