The real world possesses many challenges for AI missions. One of those challenges is the requirement that machines will be able to recognize and quickly learn new objects which they have not seen before. An AI robust to changes will be of great use in quickly adapting to a dynamic reality, be it a robot recognizing new products at a grocery store or a self-driving car interacting with new road signs or objects around it.The real world possesses many challenges for AI missions. One of those challenges is the requirement that machines will be able to recognize and quickly learn new objects which they have not seen before. An AI robust to changes will be of great use in quickly adapting to a dynamic reality, be it a robot recognizing new products at a grocery store or a self-driving car interacting with new road signs or objects around it.Machine learning & AI[#item_full_content]

For the first time, scientists have succeeded in creating a self-driving forest machine controlled by artificial intelligence. In a study at Umeå University, an AI system was developed that can operate a 16-ton machine without human intervention.For the first time, scientists have succeeded in creating a self-driving forest machine controlled by artificial intelligence. In a study at Umeå University, an AI system was developed that can operate a 16-ton machine without human intervention.Automotive[#item_full_content]

Medium and large-scale construction projects will have a better chance of success if they are able to adhere to a set of success criteria, new research from Edith Cowan University (ECU) found.Medium and large-scale construction projects will have a better chance of success if they are able to adhere to a set of success criteria, new research from Edith Cowan University (ECU) found.Engineering[#item_full_content]

In recent years, neural methods have become widespread in camera-based reconstructions. In most cases, however, hundreds of camera perspectives are needed. Meanwhile, conventional photometric methods exist which can compute highly precise reconstructions even from objects with textureless surfaces. However, these typically work only under controlled lab conditions.In recent years, neural methods have become widespread in camera-based reconstructions. In most cases, however, hundreds of camera perspectives are needed. Meanwhile, conventional photometric methods exist which can compute highly precise reconstructions even from objects with textureless surfaces. However, these typically work only under controlled lab conditions.Computer Sciences[#item_full_content]

Much has been discussed about the promise and limitations of large-language models (LLMs) in industries such as education, health care and even manufacturing. But what about energy? Could LLMs, like those that power ChatGPT, help run and maintain the energy grid?Much has been discussed about the promise and limitations of large-language models (LLMs) in industries such as education, health care and even manufacturing. But what about energy? Could LLMs, like those that power ChatGPT, help run and maintain the energy grid?Energy & Green Tech[#item_full_content]

Advances in artificial intelligence (AI) are disrupting many aspects of modern life, and the news industry is no exception. In a year with a record-breaking number of elections worldwide, there has been considerable soul-searching about the potential effect of so-called “deepfakes,” and other synthetic content, on democracies. There have also been further disruptions to the business models and trust underpinning independent journalism.Advances in artificial intelligence (AI) are disrupting many aspects of modern life, and the news industry is no exception. In a year with a record-breaking number of elections worldwide, there has been considerable soul-searching about the potential effect of so-called “deepfakes,” and other synthetic content, on democracies. There have also been further disruptions to the business models and trust underpinning independent journalism.Machine learning & AI[#item_full_content]