Large-scale neural network models form the basis of many AI-based technologies such as neuromorphic chips, which are inspired by the human brain. Training these networks can be tedious, time-consuming, and energy-inefficient given that the model is often first trained on a computer and then transferred to the chip. This limits the application and efficiency of neuromorphic chips.Large-scale neural network models form the basis of many AI-based technologies such as neuromorphic chips, which are inspired by the human brain. Training these networks can be tedious, time-consuming, and energy-inefficient given that the model is often first trained on a computer and then transferred to the chip. This limits the application and efficiency of neuromorphic chips.Hardware[#item_full_content]

Four-legged animals are innately capable of agile and adaptable movements, which allow them to move on a wide range of terrains. Over the past decades, roboticists worldwide have been trying to effectively reproduce these movements in quadrupedal (i.e., four-legged) robots.Four-legged animals are innately capable of agile and adaptable movements, which allow them to move on a wide range of terrains. Over the past decades, roboticists worldwide have been trying to effectively reproduce these movements in quadrupedal (i.e., four-legged) robots.Robotics[#item_full_content]

A study published in the journal Science Advances finds that AI enhances creativity by boosting the novelty of story ideas as well as the ‘usefulness’ of stories—their ability to engage the target audience and potential for publication. The paper is titled “Generative AI enhances individual creativity but reduces the collective diversity of novel content.”A study published in the journal Science Advances finds that AI enhances creativity by boosting the novelty of story ideas as well as the ‘usefulness’ of stories—their ability to engage the target audience and potential for publication. The paper is titled “Generative AI enhances individual creativity but reduces the collective diversity of novel content.”Consumer & Gadgets[#item_full_content]

Artificial Intelligence now underpins many of our activities in public and private spheres, including work, education, travel, and leisure. But its rapid development and increased use has been led primarily by commercial interests rather than deliberative policy or legislative choices.Artificial Intelligence now underpins many of our activities in public and private spheres, including work, education, travel, and leisure. But its rapid development and increased use has been led primarily by commercial interests rather than deliberative policy or legislative choices.Business[#item_full_content]

Users of voice assistants such as Siri, Alexa or Google Assistant know the frustration of being misunderstood by a machine.Users of voice assistants such as Siri, Alexa or Google Assistant know the frustration of being misunderstood by a machine.Consumer & Gadgets[#item_full_content]

A trio of computer scientists at Auburn University, in the U.S., working with a colleague from the University of Alberta, in Canada, has found that claims of visual skills by large language models (LLMs) with vision capabilities (VLMs) may be overstating abilities.A trio of computer scientists at Auburn University, in the U.S., working with a colleague from the University of Alberta, in Canada, has found that claims of visual skills by large language models (LLMs) with vision capabilities (VLMs) may be overstating abilities.Computer Sciences[#item_full_content]

A team of roboticists and AI specialists at Google’s DeepMind have demonstrated a robot capable of giving context-based guided tours around its offices. They have posted a paper describing their work, along with demonstration videos, on the arXiv preprint server.A team of roboticists and AI specialists at Google’s DeepMind have demonstrated a robot capable of giving context-based guided tours around its offices. They have posted a paper describing their work, along with demonstration videos, on the arXiv preprint server.Robotics[#item_full_content]

Because machine-learning models can give false predictions, researchers often equip them with the ability to tell a user how confident they are about a certain decision. This is especially important in high-stake settings, such as when models are used to help identify disease in medical images or filter job applications.Because machine-learning models can give false predictions, researchers often equip them with the ability to tell a user how confident they are about a certain decision. This is especially important in high-stake settings, such as when models are used to help identify disease in medical images or filter job applications.Machine learning & AI[#item_full_content]

The element lithium is used widely in batteries because it results in long-lasting, stable energy storage. However, it’s a finite resource, so researchers are hard at work trying to identify alternate materials to use in battery production. Using the Canadian Light Source at the University of Saskatchewan, a team from McGill University has recently come up with a way to replace most of the lithium in batteries with sodium.The element lithium is used widely in batteries because it results in long-lasting, stable energy storage. However, it’s a finite resource, so researchers are hard at work trying to identify alternate materials to use in battery production. Using the Canadian Light Source at the University of Saskatchewan, a team from McGill University has recently come up with a way to replace most of the lithium in batteries with sodium.Energy & Green Tech[#item_full_content]

When it comes to artificial intelligence, appearances can be deceiving. The mystery surrounding the inner workings of large language models (LLMs) stems from their vast size, complex training methods, hard-to-predict behaviors, and elusive interpretability.When it comes to artificial intelligence, appearances can be deceiving. The mystery surrounding the inner workings of large language models (LLMs) stems from their vast size, complex training methods, hard-to-predict behaviors, and elusive interpretability.Computer Sciences[#item_full_content]