Built with accessibility at its core, Skywork Deep Research Agent v2 is created with one simple but ambitious vision: to make ...

Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in ...

Predicting local weather extremes remains one of the greatest hurdles in meteorology, which requires high-resolution, reliable humidity data. A new ...

It looks to be a strong release. Benchmarks, technical specs, and early tests suggest the model delivers on flexibility, efficiency, and raw ...

Learn how DenseNet works and why it’s a powerful architecture in deep learning. This tutorial breaks down DenseNet’s key concepts, including dense connections, feature reuse, and parameter ...

Learn how to implement the RMSProp optimization algorithm step by step in Python. Perfect for deep learning beginners and enthusiasts! #Python #DeepLearning #RMSProp #MachineLearning Would you ...

In response to President Trump's April 23 Executive Order on advancing AI education, the United States Department of Education has issued new guidance on how K-12 and higher education institutions may ...

Deep in Chile’s Atacama Desert, scientists studied a green crystal called atacamite—and discovered it can cool itself dramatically when placed in a magnetic field. Unlike a regular fridge ...

President Trump says he’s considering attacking Iran’s underground nuclear site. Here’s what that might look like.

Few board members recognize AI’s potential to help them prepare for and engage in substantive, well-informed, and strategically focused discussions with management and their board colleagues ...

Wall Street's AI arms race is underway. Goldman Sachs is equipping thousands of staffers with custom AI tools — here's a look at what five can do.

Learning parameters using fminuc Octave/MATLAB’s fminunc is an optimization solver that finds the minimum of an unconstrained function. For logistic regression, you want to optimize the cost function ...