Abstract: This paper proposes a novel Neural Network Coding Layer (NNCL) that applies network coding theory to provide structured redundancy and enable reconstruction of lost features, thereby ...

Generative AI is reshaping software development—and fast. A new study published in Science shows that AI-assisted coding is spreading rapidly, though unevenly: in the U.S., the share of new code ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...

Accelerate your tech game Paid Content How the New Space Race Will Drive Innovation How the metaverse will change the future of work and society Managing the ...

Learn how to use advanced techniques like short-circuiting, parallel execution, virtual threads, and stream gatherers to maximize Java stream performance. My recent Java Stream API tutorial introduced ...

UC Berkeley Computer Science Professor Sarah Chasins joins WIRED to answer the internet's burning questions about coding. How did programmers code the first ever code? What remnants of the early World ...

Abstract: Semantic communication, leveraging advanced deep learning techniques, emerges as a new paradigm that meets the requirements of next-generation wireless networks. However, current semantic ...

Getting ready for a Java interview in 2025? It can feel like a lot, especially with so many different things to know. Whether you’re just starting out or you’ve been coding for a while, this guide is ...

In a sharp escalation of scrutiny toward Indian IT firms operating in the U.S., Senators Charles Grassley (R-Iowa) and Richard Durbin (D-Illinois) have formally queried Tata Consultancy Services (TCS) ...

Creating simple data classes in Java traditionally required substantial boilerplate code. Consider how we would represent Java’s mascots, Duke and Juggy: public class JavaMascot { private final String ...

OpenAI and Google DeepMind demonstrated that their foundation models could outperform human coders — and win — showing that large language models (LLMs) can solve complex, previously unsolved ...