Research by academics at King’s College London and the AI Objectives Institute has shed light on why what matters is not just how much of a job AI can do, but which parts. Dr. Bouke Klein Teeselink and Daniel Carey analyzed hundreds of millions of job postings across 39 countries before and after the release of ChatGPT in November 2022. They found that occupations with a large number of tasks exposed to AI automation, for example basic administration or data entry, saw a 6.1% decline in job postings on average. Importantly, however, this effect depends not only on how many tasks are exposed, but also on which tasks.Research by academics at King’s College London and the AI Objectives Institute has shed light on why what matters is not just how much of a job AI can do, but which parts. Dr. Bouke Klein Teeselink and Daniel Carey analyzed hundreds of millions of job postings across 39 countries before and after the release of ChatGPT in November 2022. They found that occupations with a large number of tasks exposed to AI automation, for example basic administration or data entry, saw a 6.1% decline in job postings on average. Importantly, however, this effect depends not only on how many tasks are exposed, but also on which tasks.Business[#item_full_content]
Researchers have developed an AI control system that enables soft robotic arms to learn a wide repertoire of motions and tasks once, then adjust to new scenarios on the fly without needing retraining or sacrificing functionality. This breakthrough brings soft robotics closer to human-like adaptability for real-world applications, such as in assistive robotics, rehabilitation robots, and wearable or medical soft robots, by making them more intelligent, versatile, and safe. The research team includes Singapore-MIT Alliance for Research and Technology’s (SMART) Mens, Manus & Machina (M3S) interdisciplinary research group, and National University of Singapore (NUS), alongside collaborators from Massachusetts Institute of Technology (MIT) and Nanyang Technological University (NTU Singapore).Researchers have developed an AI control system that enables soft robotic arms to learn a wide repertoire of motions and tasks once, then adjust to new scenarios on the fly without needing retraining or sacrificing functionality. This breakthrough brings soft robotics closer to human-like adaptability for real-world applications, such as in assistive robotics, rehabilitation robots, and wearable or medical soft robots, by making them more intelligent, versatile, and safe. The research team includes Singapore-MIT Alliance for Research and Technology’s (SMART) Mens, Manus & Machina (M3S) interdisciplinary research group, and National University of Singapore (NUS), alongside collaborators from Massachusetts Institute of Technology (MIT) and Nanyang Technological University (NTU Singapore).Robotics[#item_full_content]
Researchers have developed an AI control system that enables soft robotic arms to learn a wide repertoire of motions and tasks once, then adjust to new scenarios on the fly without needing retraining or sacrificing functionality. This breakthrough brings soft robotics closer to human-like adaptability for real-world applications, such as in assistive robotics, rehabilitation robots, and wearable or medical soft robots, by making them more intelligent, versatile, and safe. The research team includes Singapore-MIT Alliance for Research and Technology’s (SMART) Mens, Manus & Machina (M3S) interdisciplinary research group, and National University of Singapore (NUS), alongside collaborators from Massachusetts Institute of Technology (MIT) and Nanyang Technological University (NTU Singapore).Researchers have developed an AI control system that enables soft robotic arms to learn a wide repertoire of motions and tasks once, then adjust to new scenarios on the fly without needing retraining or sacrificing functionality. This breakthrough brings soft robotics closer to human-like adaptability for real-world applications, such as in assistive robotics, rehabilitation robots, and wearable or medical soft robots, by making them more intelligent, versatile, and safe. The research team includes Singapore-MIT Alliance for Research and Technology’s (SMART) Mens, Manus & Machina (M3S) interdisciplinary research group, and National University of Singapore (NUS), alongside collaborators from Massachusetts Institute of Technology (MIT) and Nanyang Technological University (NTU Singapore).[#item_full_content]
When the World Wide Web went live in the early 1990s, its founders hoped it would be a space for anyone to share information and collaborate. But today, the free and open web is shrinking.When the World Wide Web went live in the early 1990s, its founders hoped it would be a space for anyone to share information and collaborate. But today, the free and open web is shrinking.Machine learning & AI[#item_full_content]
An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new battery concepts. With information from just 50 cycles, the tool—developed at University of Michigan Engineering—can predict how many charge-discharge cycles the battery can undergo before its capacity drops below 90% of its design capacity.An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new battery concepts. With information from just 50 cycles, the tool—developed at University of Michigan Engineering—can predict how many charge-discharge cycles the battery can undergo before its capacity drops below 90% of its design capacity.Energy & Green Tech[#item_full_content]
From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have an important impact. That may feel especially true, for example, when you’re a passenger late for dinner in an autonomous car that has learned the efficient way home. Work in Jr-Shin Li’s lab develops mathematically rigorous and computationally efficient techniques to transform extremely complex reinforcement learning problems into a manageable domain.From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have an important impact. That may feel especially true, for example, when you’re a passenger late for dinner in an autonomous car that has learned the efficient way home. Work in Jr-Shin Li’s lab develops mathematically rigorous and computationally efficient techniques to transform extremely complex reinforcement learning problems into a manageable domain.Machine learning & AI[#item_full_content]
New research that surveyed more than 440 project managers worldwide has highlighted the critical connection between mindfulness and the adoption of generative artificial intelligence (GenAI) in the workplace. Lead author of the study, Dr. Eden Li from the School of Business and Law at Edith Cowan University (ECU) said that effective GenAI adoption requires not only technical skills but also mindfulness to navigate its complexities and challenges.New research that surveyed more than 440 project managers worldwide has highlighted the critical connection between mindfulness and the adoption of generative artificial intelligence (GenAI) in the workplace. Lead author of the study, Dr. Eden Li from the School of Business and Law at Edith Cowan University (ECU) said that effective GenAI adoption requires not only technical skills but also mindfulness to navigate its complexities and challenges.Business[#item_full_content]
Mechanical engineers at Duke University have demonstrated a proof-of-concept method for programming mechanical properties into solid Lego-like building blocks. By controlling the solidity of hundreds of individual cells in specific patterns, the approach could allow futuristic robotics to alter their mechanical properties and functionalities on the fly.Mechanical engineers at Duke University have demonstrated a proof-of-concept method for programming mechanical properties into solid Lego-like building blocks. By controlling the solidity of hundreds of individual cells in specific patterns, the approach could allow futuristic robotics to alter their mechanical properties and functionalities on the fly.[#item_full_content]
Friendly robots, the ones people love to love, are quirky: R2-D2, C-3PO, WALL-E, BB-8, Marvin, Roz and Baymax. They’re emotional, prone to panic or bossy, empathetic and able to communicate like humans do—even when they communicate in only beeps and bloops. At Purdue University, Sooyeon Jeong, robot communication and behavior expert, is working to make robots as friendly and helpful as possible in nonfictional settings.Friendly robots, the ones people love to love, are quirky: R2-D2, C-3PO, WALL-E, BB-8, Marvin, Roz and Baymax. They’re emotional, prone to panic or bossy, empathetic and able to communicate like humans do—even when they communicate in only beeps and bloops. At Purdue University, Sooyeon Jeong, robot communication and behavior expert, is working to make robots as friendly and helpful as possible in nonfictional settings.[#item_full_content]
As the International Olympic Committee (IOC) embraces AI-assisted judging, this technology promises greater consistency and improved transparency. Yet research suggests that trust, legitimacy, and cultural values may matter just as much as technical accuracy.As the International Olympic Committee (IOC) embraces AI-assisted judging, this technology promises greater consistency and improved transparency. Yet research suggests that trust, legitimacy, and cultural values may matter just as much as technical accuracy.Machine learning & AI[#item_full_content]
