Evolutionary biology holds clues for the future of AI, argue researchers from the HUN-REN Centre for Ecological Research, Eötvös Loránd University, and the Royal Flemish Academy of Belgium for Science and the Arts. In a new Perspective published April 20 in Proceedings of the National Academy of Sciences, the team warn that evolvable AI (eAI) systems that can undergo Darwinian evolution may soon emerge, and they will generate special risks that can be understood, and mitigated, based on insights from evolutionary biology.Evolutionary biology holds clues for the future of AI, argue researchers from the HUN-REN Centre for Ecological Research, Eötvös Loránd University, and the Royal Flemish Academy of Belgium for Science and the Arts. In a new Perspective published April 20 in Proceedings of the National Academy of Sciences, the team warn that evolvable AI (eAI) systems that can undergo Darwinian evolution may soon emerge, and they will generate special risks that can be understood, and mitigated, based on insights from evolutionary biology.Security[#item_full_content]

The effort to “align” AI with human values is falling dangerously short in robotic systems, according to researchers from Penn Engineering, Carnegie Mellon University (CMU) and the University of Oxford. In a new paper appearing in Science Robotics, the researchers highlight the need to develop more thorough frameworks for ensuring that AI-enabled robots embody a core principle famously articulated by science fiction author Isaac Asimov: “A robot may not injure a human being.”The effort to “align” AI with human values is falling dangerously short in robotic systems, according to researchers from Penn Engineering, Carnegie Mellon University (CMU) and the University of Oxford. In a new paper appearing in Science Robotics, the researchers highlight the need to develop more thorough frameworks for ensuring that AI-enabled robots embody a core principle famously articulated by science fiction author Isaac Asimov: “A robot may not injure a human being.”Robotics[#item_full_content]

Major AI platforms, including OpenAI and Anthropic, as well as social apps like Replika and Character.ai, are increasingly designing chatbots to be warm, friendly, and empathetic. However, new research from the Oxford Internet Institute at the University of Oxford finds that chatbots trained to sound warmer and more empathetic are significantly more likely to make factual errors and agree with false beliefs.Major AI platforms, including OpenAI and Anthropic, as well as social apps like Replika and Character.ai, are increasingly designing chatbots to be warm, friendly, and empathetic. However, new research from the Oxford Internet Institute at the University of Oxford finds that chatbots trained to sound warmer and more empathetic are significantly more likely to make factual errors and agree with false beliefs.Consumer & Gadgets[#item_full_content]

Due to recent developments in artificial intelligence (AI), it’s now possible to digitally “revive” dead people and interact with them.Due to recent developments in artificial intelligence (AI), it’s now possible to digitally “revive” dead people and interact with them.Consumer & Gadgets[#item_full_content]

A new method developed by MIT researchers can accelerate a privacy-preserving artificial intelligence training method by about 81%. This advance could enable a wider array of resource-constrained edge devices, like sensors and smartwatches, to deploy more accurate AI models while keeping user data secure.A new method developed by MIT researchers can accelerate a privacy-preserving artificial intelligence training method by about 81%. This advance could enable a wider array of resource-constrained edge devices, like sensors and smartwatches, to deploy more accurate AI models while keeping user data secure.Consumer & Gadgets[#item_full_content]

Most contemporary artificial intelligence (AI) systems learn to complete tasks via machine learning and deep learning. Machine learning is a computational approach that allows models to uncover patterns in data that are useful for making predictions. Deep learning, on the other hand, is a subset of machine learning that entails the use of multi-layered neural networks, which can autonomously extract features and learn complex patterns from unstructured data, sometimes with little or no human supervision.Most contemporary artificial intelligence (AI) systems learn to complete tasks via machine learning and deep learning. Machine learning is a computational approach that allows models to uncover patterns in data that are useful for making predictions. Deep learning, on the other hand, is a subset of machine learning that entails the use of multi-layered neural networks, which can autonomously extract features and learn complex patterns from unstructured data, sometimes with little or no human supervision.Computer Sciences[#item_full_content]

The Pentagon has arranged a deal to increase its use of Google’s artificial intelligence in classified operations, U.S. media outlets reported on Tuesday.The Pentagon has arranged a deal to increase its use of Google’s artificial intelligence in classified operations, U.S. media outlets reported on Tuesday.Machine learning & AI[#item_full_content]

The avocado toasts and baristas making foamy lattes make it look like any other café, except at this one, located in a Stockholm residential neighborhood, artificial intelligence (AI) is running the place.The avocado toasts and baristas making foamy lattes make it look like any other café, except at this one, located in a Stockholm residential neighborhood, artificial intelligence (AI) is running the place.Machine learning & AI[#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.Computer Sciences[#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]