Explore the top AI certifications to boost your career and validate your AI skills. Find the best programs in machine ...

Abstract: Construction projects can produce excessive construction data using intelligent equipment. Deep learning algorithms can harness these data, discovering knowledge that can effectively enhance ...

Abstract: Engineering projects can reach maximum cost and schedule control through an Earned Value Analysis-Deep Reinforcement Learning (EVA-DRL) joint implementation revealed in this study. The ...

The Newton City Council voted 6-0 to approve the completion of the engine bar reinforcement project at the fire station. Author: Christopher Braunschweig To make way for a new $2 million ladder truck ...

We live in an ever-evolving world, powered by advancements across STEM fields. Today, STEM has become increasingly intertwined with how we live our daily lives–from how we learn, to how we work, to ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

In reinforcement learning (RL), an agent learns to achieve its goal by interacting with its environment and learning from feedback about its successes and failures. This feedback is typically encoded ...

For our most recent Question of the Week, we asked about a topic that's near and dear to my heart: photography projects. We wondered what projects you are taking on to spark creativity and move your ...

Over the past few years, AI systems have become much better at discerning images, generating language, and performing tasks within physical and virtual environments. Yet they still fail in ways that ...

Every year, NeurIPS produces hundreds of impressive papers, and a handful that subtly reset how practitioners think about scaling, evaluation and system design. In 2025, the most consequential works ...