Facial recognition systems, computational tools that can recognize individuals in images or video footage, are now widely employed worldwide. Some users and developers, however, have raised privacy-related concerns, as by definition facial recognition techniques rely on images that capture people’s faces. It is possible to use facial recognition techniques to identify the person by his/her face without authorization.Facial recognition systems, computational tools that can recognize individuals in images or video footage, are now widely employed worldwide. Some users and developers, however, have raised privacy-related concerns, as by definition facial recognition techniques rely on images that capture people’s faces. It is possible to use facial recognition techniques to identify the person by his/her face without authorization.Security[#item_full_content]
Digital watermarks combined with AI will speed up the resolution of legal cases about copyright infringements, a new study says.Digital watermarks combined with AI will speed up the resolution of legal cases about copyright infringements, a new study says.Business[#item_full_content]
Long before people worried about the effects of ChatGPT on personal communication and social norms, there was the autopen and its precursors—automatic signature machines—that some feared would be misused to forge signatures and sign war declarations and other bills.Long before people worried about the effects of ChatGPT on personal communication and social norms, there was the autopen and its precursors—automatic signature machines—that some feared would be misused to forge signatures and sign war declarations and other bills.Machine learning & AI[#item_full_content]
Window to the soul? Maybe, but the eyes are also a flashing neon sign for a new artificial intelligence-based system that can read them to predict what you’ll do next.Window to the soul? Maybe, but the eyes are also a flashing neon sign for a new artificial intelligence-based system that can read them to predict what you’ll do next.Business[#item_full_content]
With 70% of U.S. companies expected to adopt AI by 2030, organizations need to understand and address the key challenges of employee-AI interaction. To shine light on the future of AI in the workplace, Chris McComb and Jon Cagan put human and AI-human “hybrid” teams to the test. In a head-to-head matchup, researchers studied which team could better design a fleet of delivery drones under dynamic design constraints.With 70% of U.S. companies expected to adopt AI by 2030, organizations need to understand and address the key challenges of employee-AI interaction. To shine light on the future of AI in the workplace, Chris McComb and Jon Cagan put human and AI-human “hybrid” teams to the test. In a head-to-head matchup, researchers studied which team could better design a fleet of delivery drones under dynamic design constraints.Business[#item_full_content]
Updating passwords for all users of a company or institution’s internal computer systems is stressful and disruptive to both users and IT professionals. Many studies have looked at user struggles and password best practices. But very little research has been done to determine how a password update campaign can be conducted most efficiently and with minimal IT costs. Until now.Updating passwords for all users of a company or institution’s internal computer systems is stressful and disruptive to both users and IT professionals. Many studies have looked at user struggles and password best practices. But very little research has been done to determine how a password update campaign can be conducted most efficiently and with minimal IT costs. Until now.[#item_full_content]
AI systems, such as GPT-4, can now learn and use human language, but they learn from astronomical amounts of language input—much more than children receive when learning how to understand and speak a language. The best AI systems train on text with a word count in the trillions, whereas children receive just millions per year.AI systems, such as GPT-4, can now learn and use human language, but they learn from astronomical amounts of language input—much more than children receive when learning how to understand and speak a language. The best AI systems train on text with a word count in the trillions, whereas children receive just millions per year.Hi Tech & Innovation[#item_full_content]
For a machine learning system comprising multiple machine learning models and input data, researchers at University of Tsukuba developed a theoretical model for evaluating the effect of diversity in machine learning models and input data used in a machine learning system on the reliability of its output.For a machine learning system comprising multiple machine learning models and input data, researchers at University of Tsukuba developed a theoretical model for evaluating the effect of diversity in machine learning models and input data used in a machine learning system on the reliability of its output.[#item_full_content]
For a machine learning system comprising multiple machine learning models and input data, researchers at University of Tsukuba developed a theoretical model for evaluating the effect of diversity in machine learning models and input data used in a machine learning system on the reliability of its output.For a machine learning system comprising multiple machine learning models and input data, researchers at University of Tsukuba developed a theoretical model for evaluating the effect of diversity in machine learning models and input data used in a machine learning system on the reliability of its output.Computer Sciences[#item_full_content]
In the coming decades, NASA plans to send human crews back to the moon, build a space station in lunar orbit, establish a permanent base on the lunar surface, and—hopefully—send astronauts to Mars.In the coming decades, NASA plans to send human crews back to the moon, build a space station in lunar orbit, establish a permanent base on the lunar surface, and—hopefully—send astronauts to Mars.[#item_full_content]
