Robotics has come a long way in the last decade, going from rare novelties to everyday helpers doing everything from vacuuming homes to performing intricate surgeries. And if you ask Assistant ...

The surge in digital data presents both unprecedented opportunities and formidable challenges across industries. A recent scoping survey sheds light on the transformative role of machine learning (ML) ...

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 ...

Scientists in Japan have developed a new, highly efficient method for designing wireless power transfer (WPT) systems. Based on machine learning, the method enables a system to maintain stable voltage ...

(Nanowerk Spotlight) The integration of machine learning (ML) into materials science is rapidly transforming the way researchers discover and design advanced ...

In a remarkable stride towards environmental sustainability, researchers at the Department of Biotechnology and Medical Engineering, National Institute of Technology Rourkela, India, have developed a ...

At the recent Nvidia GTC conference, the company unveiled what it described as the first single-rack system of servers capable of one exaflop — one billion billion, or a quintillion, floating-point ...

Today, the plastics industry stands at the threshold of a technological revolution, with artificial intelligence and machine learning poised to transform everything from material development to ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.