Machine learning-based models that can autonomously generate various types of content have become increasingly advanced over the past few years. These frameworks have opened new possibilities for filmmaking and for compiling datasets to train robotics algorithms.Machine learning-based models that can autonomously generate various types of content have become increasingly advanced over the past few years. These frameworks have opened new possibilities for filmmaking and for compiling datasets to train robotics algorithms.Machine learning & AI[#item_full_content]

Alex Popken was a longtime trust and safety executive at Twitter focusing on content moderation before leaving in 2023. She was the first employee there dedicated to moderating Twitter’s advertising business when she started in 2013.Alex Popken was a longtime trust and safety executive at Twitter focusing on content moderation before leaving in 2023. She was the first employee there dedicated to moderating Twitter’s advertising business when she started in 2013.Business[#item_full_content]

The step size, often referred to as the learning rate, plays a pivotal role in optimizing the efficiency of the stochastic gradient descent (SGD) algorithm. In recent times, multiple step size strategies have emerged for enhancing SGD performance. However, a significant challenge associated with these step sizes is related to their probability distribution, denoted as ηt/ΣTt=1ηt .The step size, often referred to as the learning rate, plays a pivotal role in optimizing the efficiency of the stochastic gradient descent (SGD) algorithm. In recent times, multiple step size strategies have emerged for enhancing SGD performance. However, a significant challenge associated with these step sizes is related to their probability distribution, denoted as ηt/ΣTt=1ηt .[#item_full_content]

Application data requirements vs. available network bandwidth have been the ongoing Battle of the Information Age, but now it appears that a truce is within reach, based on new research from NJIT Associate Professor Jacob Chakareski.Application data requirements vs. available network bandwidth have been the ongoing Battle of the Information Age, but now it appears that a truce is within reach, based on new research from NJIT Associate Professor Jacob Chakareski.Internet[#item_full_content]

The development of the world’s most performant neural network module for accurately extracting objects from aerial and satellite imagery is expected to have wide applications across various fields, according to DGIST and the research team of Dabeeo Inc.The development of the world’s most performant neural network module for accurately extracting objects from aerial and satellite imagery is expected to have wide applications across various fields, according to DGIST and the research team of Dabeeo Inc.Engineering[#item_full_content]

Despite popular concern about generative AI making jobs redundant, a new survey by INSEAD shows employees and business leaders alike are enthusiastic about the transformative technology. In fact, two out of three respondents are already using it in their personal and professional lives.Despite popular concern about generative AI making jobs redundant, a new survey by INSEAD shows employees and business leaders alike are enthusiastic about the transformative technology. In fact, two out of three respondents are already using it in their personal and professional lives.Business[#item_full_content]

Whenever you call a customer service contact center, the team on the other end of the line typically has three goals: to reduce their response time, solve your problem and do it within the shortest service time possible.Whenever you call a customer service contact center, the team on the other end of the line typically has three goals: to reduce their response time, solve your problem and do it within the shortest service time possible.Business[#item_full_content]

It takes a village to nurture social robots. Researchers who develop social robots—ones that people interact with—focus too much on design features and not enough on sociological factors, like human-to-human interactions, the contexts where they happen, and cultural norms involving robots, according to an award-winning paper from Cornell and Indiana University scholars who specialize in human-robot interaction.It takes a village to nurture social robots. Researchers who develop social robots—ones that people interact with—focus too much on design features and not enough on sociological factors, like human-to-human interactions, the contexts where they happen, and cultural norms involving robots, according to an award-winning paper from Cornell and Indiana University scholars who specialize in human-robot interaction.[#item_full_content]

Google recently made headlines globally because its chatbot Gemini generated images of people of color instead of white people in historical settings that featured white people. Adobe Firefly’s image creation tool saw similar issues. This led some commentators to complain that AI had gone “woke.” Others suggested these issues resulted from faulty efforts to fight AI bias and better serve a global audience.Google recently made headlines globally because its chatbot Gemini generated images of people of color instead of white people in historical settings that featured white people. Adobe Firefly’s image creation tool saw similar issues. This led some commentators to complain that AI had gone “woke.” Others suggested these issues resulted from faulty efforts to fight AI bias and better serve a global audience.Machine learning & AI[#item_full_content]

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