Inside a giant autonomous warehouse, hundreds of robots dart down aisles as they collect and distribute items to fulfill a steady stream of customer orders. In this busy environment, even small traffic jams or minor collisions can snowball into massive slowdowns. To avoid such an avalanche of inefficiencies, researchers from MIT and the tech firm Symbotic developed a new method that automatically keeps a fleet of robots moving smoothly.Inside a giant autonomous warehouse, hundreds of robots dart down aisles as they collect and distribute items to fulfill a steady stream of customer orders. In this busy environment, even small traffic jams or minor collisions can snowball into massive slowdowns. To avoid such an avalanche of inefficiencies, researchers from MIT and the tech firm Symbotic developed a new method that automatically keeps a fleet of robots moving smoothly.Robotics[#item_full_content]
Here’s how AI can (and can’t) help you in your job hunt
For many job seekers, it might seem like there’s never been a harder time to find a job. Hiring for white-collar jobs has been especially weak, part of what economists call a “low-hire, low-fire” job market in which businesses are largely holding onto their workers while hiring remains sluggish, making it difficult for younger workers to land permanent work.For many job seekers, it might seem like there’s never been a harder time to find a job. Hiring for white-collar jobs has been especially weak, part of what economists call a “low-hire, low-fire” job market in which businesses are largely holding onto their workers while hiring remains sluggish, making it difficult for younger workers to land permanent work.Internet[#item_full_content]
Research in the International Journal of Computational Intelligence Studies has examined how we might improve artificial intelligence (AI) systems for interpreting human emotion in written communication. A new system is capable of identifying sentiment not only in broad terms, positive, negative, and neutral, but also at a more detailed, aspect-specific level.Research in the International Journal of Computational Intelligence Studies has examined how we might improve artificial intelligence (AI) systems for interpreting human emotion in written communication. A new system is capable of identifying sentiment not only in broad terms, positive, negative, and neutral, but also at a more detailed, aspect-specific level.Machine learning & AI[#item_full_content]
To get the best out of AI, some users tell it to provide answers as if it were an expert. Others ask it to adopt a persona, such as a safety monitor, to guide its responses. However, this approach can sometimes hurt performance, according to a study available on the arXiv preprint server.To get the best out of AI, some users tell it to provide answers as if it were an expert. Others ask it to adopt a persona, such as a safety monitor, to guide its responses. However, this approach can sometimes hurt performance, according to a study available on the arXiv preprint server.Consumer & Gadgets[#item_full_content]
Amid the rapid expansion of artificial intelligence and the debate on how it should be regulated, research by the Universitat Oberta de Catalunya (UOC) examines a key question: who sets the rules and through what infrastructure. The article, published in the journal AI & SOCIETY, is authored by UOC doctoral researcher Andreu Belsunces Gonçalves, from the CNSC research group, and Laura Forlano, from Northeastern University in Boston (United States). The study analyzes how certain technological initiatives not only provide services but also promote governance models based on private digital identity and biometric data systems.Amid the rapid expansion of artificial intelligence and the debate on how it should be regulated, research by the Universitat Oberta de Catalunya (UOC) examines a key question: who sets the rules and through what infrastructure. The article, published in the journal AI & SOCIETY, is authored by UOC doctoral researcher Andreu Belsunces Gonçalves, from the CNSC research group, and Laura Forlano, from Northeastern University in Boston (United States). The study analyzes how certain technological initiatives not only provide services but also promote governance models based on private digital identity and biometric data systems.Business[#item_full_content]
As AI processing demands reach the limits of current CMOS technology, neuromorphic computing—hardware and software that mimic the human brain’s structure—can help process information faster and more efficiently. A new memristor made from 2D layers of bismuth selenide (Bi2Se3) combines long-term data retention and analog tuning to enhance AI energy efficiency and processing speed.As AI processing demands reach the limits of current CMOS technology, neuromorphic computing—hardware and software that mimic the human brain’s structure—can help process information faster and more efficiently. A new memristor made from 2D layers of bismuth selenide (Bi2Se3) combines long-term data retention and analog tuning to enhance AI energy efficiency and processing speed.Hardware[#item_full_content]
OpenAI pulls the plug on Sora, the viral AI video app that sparked deepfake concerns
OpenAI is shutting down its social media app Sora, which went viral last fall as a place to share short-form videos generated by artificial intelligence but also raised alarms in Hollywood and elsewhere.OpenAI is shutting down its social media app Sora, which went viral last fall as a place to share short-form videos generated by artificial intelligence but also raised alarms in Hollywood and elsewhere.Machine learning & AI[#item_full_content]
Irrespective of the ethics and the apocalyptic predictions, artificial intelligence (AI) has already become a central component of economic and institutional decision-making. Research in the International Journal of Intelligent Systems Design and Computing has gone beyond an industry-specific analysis of the state-of-the-AI-art and offers a detailed framework of how the many different AI tools are being adopted.Irrespective of the ethics and the apocalyptic predictions, artificial intelligence (AI) has already become a central component of economic and institutional decision-making. Research in the International Journal of Intelligent Systems Design and Computing has gone beyond an industry-specific analysis of the state-of-the-AI-art and offers a detailed framework of how the many different AI tools are being adopted.Business[#item_full_content]
In a new article, researchers introduce the capabilities approach–contextual integrity (CA-CI), a framework that addresses privacy and dignity risks posed by modern artificial intelligence (AI) systems, especially foundation models whose capabilities evolve across contexts and purposes. In a case study, they demonstrate how CA-CI can operationalize the European Union (EU)’s AI Act’s fundamental rights impact assessments, harm thresholds, and anticipatory governance. The article, by researchers at Carnegie Mellon University and the University of Michigan, is published in IEEE Security & Privacy.In a new article, researchers introduce the capabilities approach–contextual integrity (CA-CI), a framework that addresses privacy and dignity risks posed by modern artificial intelligence (AI) systems, especially foundation models whose capabilities evolve across contexts and purposes. In a case study, they demonstrate how CA-CI can operationalize the European Union (EU)’s AI Act’s fundamental rights impact assessments, harm thresholds, and anticipatory governance. The article, by researchers at Carnegie Mellon University and the University of Michigan, is published in IEEE Security & Privacy.Security[#item_full_content]
Researchers introduce a novel generative AI-driven framework, MMCN (Memory-aware Multi-Conditional generation Network), for forecasting future urban layouts by jointly considering building density, building height, transportation networks, and historical development patterns.Researchers introduce a novel generative AI-driven framework, MMCN (Memory-aware Multi-Conditional generation Network), for forecasting future urban layouts by jointly considering building density, building height, transportation networks, and historical development patterns.Engineering[#item_full_content]
