A researcher at Ben-Gurion University of the Negev has designed an AI system that identifies social norm violations. The project is one of the first to tackle the automatic identification of social norm violations. While many social norms exist worldwide, social norm violation boils down to only a few general categories.A researcher at Ben-Gurion University of the Negev has designed an AI system that identifies social norm violations. The project is one of the first to tackle the automatic identification of social norm violations. While many social norms exist worldwide, social norm violation boils down to only a few general categories.[#item_full_content]

Research in the International Journal of Services Operations and Informatics discusses how the concept of the digital twin might be used to improve factory layout. The approach could cut the time and resources needed to design floorplans for industrial plants and ultimately improve the efficiency of the factory.Research in the International Journal of Services Operations and Informatics discusses how the concept of the digital twin might be used to improve factory layout. The approach could cut the time and resources needed to design floorplans for industrial plants and ultimately improve the efficiency of the factory.[#item_full_content]

Memories can be as tricky to hold onto for machines as they can be for humans. To help understand why artificial agents develop holes in their own cognitive processes, electrical engineers at The Ohio State University have analyzed how much a process called “continual learning” impacts their overall performance.Memories can be as tricky to hold onto for machines as they can be for humans. To help understand why artificial agents develop holes in their own cognitive processes, electrical engineers at The Ohio State University have analyzed how much a process called “continual learning” impacts their overall performance.[#item_full_content]

Despite their huge success, the inner workings of large language models such as OpenAI’s GPT model family and Google Bard remain a mystery, even to their developers. Researchers at ETH and Google have uncovered a potential key mechanism behind their ability to learn on-the-fly and fine-tune their answers based on interactions with their users.Despite their huge success, the inner workings of large language models such as OpenAI’s GPT model family and Google Bard remain a mystery, even to their developers. Researchers at ETH and Google have uncovered a potential key mechanism behind their ability to learn on-the-fly and fine-tune their answers based on interactions with their users.[#item_full_content]

With its head-spinning size and connections, the power system is so complex that even supercomputers struggle to efficiently solve certain optimization problems. But quantum computers might fare better, and now researchers can explore that prospect thanks to a software interface between quantum computers and grid equipment.With its head-spinning size and connections, the power system is so complex that even supercomputers struggle to efficiently solve certain optimization problems. But quantum computers might fare better, and now researchers can explore that prospect thanks to a software interface between quantum computers and grid equipment.[#item_full_content]

A new “stress test” method created by a Georgia Tech researcher allows programmers to more easily determine if trained visual recognition models are sensitive to input changes or rely too heavily on context clues to perform their tasks.A new “stress test” method created by a Georgia Tech researcher allows programmers to more easily determine if trained visual recognition models are sensitive to input changes or rely too heavily on context clues to perform their tasks.[#item_full_content]

Large language models (LLMs) are an evolution of natural language processing (NLP) techniques that can rapidly generate texts closely resembling those written by humans and complete other simple language-related tasks. These models have become increasingly popular after the public release of Chat GPT, a highly performing LLM developed by OpenAI.Large language models (LLMs) are an evolution of natural language processing (NLP) techniques that can rapidly generate texts closely resembling those written by humans and complete other simple language-related tasks. These models have become increasingly popular after the public release of Chat GPT, a highly performing LLM developed by OpenAI.[#item_full_content]

A new approach to autonomous robot navigation is reported in the International Journal of Computational Science and Engineering, which could help avoid collisions and accidents in a variety of future applications in various environments, such as industrial buildings and warehouses, agricultural fields, and in the urban self-driving vehicle landscape, search and rescue sites, in health care settings, and even in the home and garden.A new approach to autonomous robot navigation is reported in the International Journal of Computational Science and Engineering, which could help avoid collisions and accidents in a variety of future applications in various environments, such as industrial buildings and warehouses, agricultural fields, and in the urban self-driving vehicle landscape, search and rescue sites, in health care settings, and even in the home and garden.[#item_full_content]

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