This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

Proteins are life's molecular workhorses, doing everything from turning sunlight into food to fighting viruses. They are ...

Learn how the Adagrad optimization algorithm works and see how to implement it step by step in pure Python — perfect for ...

In a sport where tactics, terrain, weather, and timing all merge into one fluid contest, predicting the outcome of a cycling race can seem like guesswork.

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Researchers at the Indian Institute of Science (IISc) and the Qatar Science and Technology Research Center (QSRTC) have ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models.

At the forefront of discovery, where cutting-edge scientific questions are tackled, we often don’t have much data. Conversely ...

Until recently, there was no way for models developed by different companies to communicate directly, collaborate or combine their strengths to improve performance. This week, at the International ...

In this study, we propose a method to estimate energy consumption in battery-powered Narrowband Internet of Things (NB-IoT) devices using the statistical data available from the NB-IoT modem, thereby ...

Urban vegetation classification is challenging due to the heterogeneous nature of urban environments. Accurate mapping of urban vegetation, which plays a crucial role in regulating microclimates, ...