Teaching machines in the way that animal trainers mold the behavior of dogs or horses has been an important method for developing artificial intelligence and one that was recognized Wednesday with the top computer science award.Teaching machines in the way that animal trainers mold the behavior of dogs or horses has been an important method for developing artificial intelligence and one that was recognized Wednesday with the top computer science award.[#item_full_content]

Nikita Belyakov and Svetlana Illarionova, researchers from the Skoltech AI Center, presented a new method for semantic segmentation of multispectral data, which can be used to recognize clouds, shadows, and snow patches in satellite images. This approach will increase the accuracy of recognizing complex climatic structures in images without additional human involvement in data annotation.Nikita Belyakov and Svetlana Illarionova, researchers from the Skoltech AI Center, presented a new method for semantic segmentation of multispectral data, which can be used to recognize clouds, shadows, and snow patches in satellite images. This approach will increase the accuracy of recognizing complex climatic structures in images without additional human involvement in data annotation.[#item_full_content]

You can talk to an AI chatbot about pretty much anything, from help with daily tasks to the problems you may need to solve. Its answers reflect the human data that taught it how to act like a person; but how human-like are the latest chatbots, really?You can talk to an AI chatbot about pretty much anything, from help with daily tasks to the problems you may need to solve. Its answers reflect the human data that taught it how to act like a person; but how human-like are the latest chatbots, really?[#item_full_content]

Autoplay, a feature that automatically begins the next episode or movie without user input, has become a staple of modern streaming platforms like Netflix. But how much is this convenience truly costing us in terms of control over our time and decisions?Autoplay, a feature that automatically begins the next episode or movie without user input, has become a staple of modern streaming platforms like Netflix. But how much is this convenience truly costing us in terms of control over our time and decisions?[#item_full_content]

Computer scientists have developed a powerful machine learning model that can detect toxic social media comments with remarkable accuracy, paving the way for safer digital interactions.Computer scientists have developed a powerful machine learning model that can detect toxic social media comments with remarkable accuracy, paving the way for safer digital interactions.[#item_full_content]

While we are remarkably capable of generating our own goals, beginning with child’s play and continuing into adulthood, we don’t yet have computer models for understanding this human ability.While we are remarkably capable of generating our own goals, beginning with child’s play and continuing into adulthood, we don’t yet have computer models for understanding this human ability.[#item_full_content]

The Surrey Academy for Blockchain and Metaverse Applications (SABMA), a pioneering institution within the University of Surrey, is proud to announce the release of its groundbreaking report: Web 3.0 Protocol-as-Platform: Vision and Framework for Decentralized Agentic Super Intelligence.The Surrey Academy for Blockchain and Metaverse Applications (SABMA), a pioneering institution within the University of Surrey, is proud to announce the release of its groundbreaking report: Web 3.0 Protocol-as-Platform: Vision and Framework for Decentralized Agentic Super Intelligence.[#item_full_content]

Metadata management has always been the focus of distributed file systems research. Metadata replication exhibits a comparative advantage in maintaining locality and balancing system load. However, according to the requirements of POSIX semantics, existing systems use strict consistency to guarantee the consistency and atomicity of metadata operations. The strict consistency impedes I/O, resulting in a performance bottleneck.Metadata management has always been the focus of distributed file systems research. Metadata replication exhibits a comparative advantage in maintaining locality and balancing system load. However, according to the requirements of POSIX semantics, existing systems use strict consistency to guarantee the consistency and atomicity of metadata operations. The strict consistency impedes I/O, resulting in a performance bottleneck.[#item_full_content]

Code review is essential in software development, playing a vital role in enhancing product quality by catching mistakes early on. An integral part of this procedure is choosing the right reviewers to examine modifications to the code. Yet, in expansive open-source projects, pinpointing the ideal reviewers for certain changes can be quite complex.Code review is essential in software development, playing a vital role in enhancing product quality by catching mistakes early on. An integral part of this procedure is choosing the right reviewers to examine modifications to the code. Yet, in expansive open-source projects, pinpointing the ideal reviewers for certain changes can be quite complex.[#item_full_content]

Researchers have developed a new AI algorithm, called Torque Clustering, that is much closer to natural intelligence than current methods. It significantly improves how AI systems learn and uncover patterns in data independently, without human guidance.Researchers have developed a new AI algorithm, called Torque Clustering, that is much closer to natural intelligence than current methods. It significantly improves how AI systems learn and uncover patterns in data independently, without human guidance.[#item_full_content]