Attempts to define human beauty using artificial intelligence may reveal more about bias in data than universal standards, according to a new analysis from the University of Virginia’s School of Data Science. Using computer vision and statistical modeling, researchers evaluated whether facial features align with the “Golden Ratio,” a mathematical formula often cited as an objective measure of attractiveness. Instead, the analysis found that demographic variation, not mathematical proportion, was the strongest factor shaping model outputs. This challenges long-standing assumptions that beauty can be quantified.Attempts to define human beauty using artificial intelligence may reveal more about bias in data than universal standards, according to a new analysis from the University of Virginia’s School of Data Science. Using computer vision and statistical modeling, researchers evaluated whether facial features align with the “Golden Ratio,” a mathematical formula often cited as an objective measure of attractiveness. Instead, the analysis found that demographic variation, not mathematical proportion, was the strongest factor shaping model outputs. This challenges long-standing assumptions that beauty can be quantified.Computer Sciences[#item_full_content]
Attempts to define human beauty using artificial intelligence may reveal more about bias in data than universal standards, according to a new analysis from the University of Virginia’s School of Data Science. Using computer vision and statistical modeling, researchers evaluated whether facial features align with the “Golden Ratio,” a mathematical formula often cited as an objective measure of attractiveness. Instead, the analysis found that demographic variation, not mathematical proportion, was the strongest factor shaping model outputs. This challenges long-standing assumptions that beauty can be quantified.Attempts to define human beauty using artificial intelligence may reveal more about bias in data than universal standards, according to a new analysis from the University of Virginia’s School of Data Science. Using computer vision and statistical modeling, researchers evaluated whether facial features align with the “Golden Ratio,” a mathematical formula often cited as an objective measure of attractiveness. Instead, the analysis found that demographic variation, not mathematical proportion, was the strongest factor shaping model outputs. This challenges long-standing assumptions that beauty can be quantified.[#item_full_content]
Amazon announced what it called a “major expansion” of its partnership with ChatGPT maker OpenAI on Tuesday, a day after the artificial intelligence company said it was loosening its ties to longtime backer Microsoft.Amazon announced what it called a “major expansion” of its partnership with ChatGPT maker OpenAI on Tuesday, a day after the artificial intelligence company said it was loosening its ties to longtime backer Microsoft.Machine learning & AI[#item_full_content]
Elon Musk and OpenAI boss Sam Altman faced off in a California federal court Tuesday in a blockbuster trial that could have far-reaching consequences for the AI industry and oblige the ChatGPT maker to profoundly revamp its business.Elon Musk and OpenAI boss Sam Altman faced off in a California federal court Tuesday in a blockbuster trial that could have far-reaching consequences for the AI industry and oblige the ChatGPT maker to profoundly revamp its business.Machine learning & AI[#item_full_content]
Robotically assembled building blocks could be a more environmentally friendly method for erecting large-scale structures than some existing construction techniques, according to a new study by MIT researchers published in the journal Automation in Construction.Robotically assembled building blocks could be a more environmentally friendly method for erecting large-scale structures than some existing construction techniques, according to a new study by MIT researchers published in the journal Automation in Construction.[#item_full_content]
To reliably complete various manual tasks, robots should be able to handle a variety of objects, ranging from items found in households to tools used in specific professional settings. While many existing robotic systems can now complete basic manual tasks, such as picking up objects and carrying them to a set location, most systems still struggle with tasks that entail the dexterous manipulation of objects.To reliably complete various manual tasks, robots should be able to handle a variety of objects, ranging from items found in households to tools used in specific professional settings. While many existing robotic systems can now complete basic manual tasks, such as picking up objects and carrying them to a set location, most systems still struggle with tasks that entail the dexterous manipulation of objects.[#item_full_content]
In a new analysis, two UCL researchers argue that the present system used to allocate billions in research funding was designed for a world without AI agents and may no longer be fit for that purpose.In a new analysis, two UCL researchers argue that the present system used to allocate billions in research funding was designed for a world without AI agents and may no longer be fit for that purpose.Business[#item_full_content]
Cyclists can feel safe at the very moment they are most at risk, according to new Monash research that could reshape how cities design shared streets. The study, published in Accident Analysis & Prevention, found that after a vehicle overtakes a cyclist, riders often experience a short “perceptual relief period” where they feel safer, even though the risk from vehicles behind them remains high.Cyclists can feel safe at the very moment they are most at risk, according to new Monash research that could reshape how cities design shared streets. The study, published in Accident Analysis & Prevention, found that after a vehicle overtakes a cyclist, riders often experience a short “perceptual relief period” where they feel safer, even though the risk from vehicles behind them remains high.[#item_full_content]
Hundreds of millions of people consult artificial intelligence chatbots on a daily basis for everything from product recommendations to romance, making them a tempting audience to target with potentially below-the-radar advertising. Indeed, our research suggests AI chatbots could easily be used for covert advertising to manipulate their human users.Hundreds of millions of people consult artificial intelligence chatbots on a daily basis for everything from product recommendations to romance, making them a tempting audience to target with potentially below-the-radar advertising. Indeed, our research suggests AI chatbots could easily be used for covert advertising to manipulate their human users.Business[#item_full_content]
Jury selection starts in Elon Musk’s legal battle with OpenAI
Elon Musk’s courtroom showdown with Sam Altman got underway here Monday with the start of jury selection in a trial over the billionaire’s accusation that his OpenAI co-founders betrayed a non-profit mission to build artificial intelligence for the good of humanity and not for the money.Elon Musk’s courtroom showdown with Sam Altman got underway here Monday with the start of jury selection in a trial over the billionaire’s accusation that his OpenAI co-founders betrayed a non-profit mission to build artificial intelligence for the good of humanity and not for the money.Machine learning & AI[#item_full_content]
