Since the early 20th century, scientists have gathered compelling evidence that the universe is expanding at an accelerating ...
Abstract: Deep neural networks (DNNs) have been widely used for learning various wireless communication policies. While DNNs have demonstrated the ability to reduce the time complexity of inference, ...
Abstract: In recent years, space–time coding metasurfaces and antennas have attracted widespread attention in both radar and sensing technologies due to their low manufacturing costs, simple ...
Complexity: a trait that attracts some and deters others. In the classroom, it can feel intimidating or unnecessary. In conversation, however, it makes for surprises that add interest to your day, ...
The original version of this story appeared in Quanta Magazine. One July afternoon in 2024, Ryan Williams set out to prove himself wrong. Two months had passed since he’d hit upon a startling ...
One July afternoon in 2024, Ryan Williams set out to prove himself wrong. Two months had passed since he’d hit upon a startling discovery about the relationship between time and memory in computing.
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. One recurring question when choosing which molecules to select for investigation is ...
Year of the Twin Dragons: Developers Must Slay the Complexity and Security Issues of AI Coding Tools
The advantages AI tools deliver in speed and efficiency are impossible for developers to resist. But the complexity and risk created by AI-generated code can’t be ignored. For software developers ...
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