In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

New AI memory method lets models think harder while avoiding costly high-bandwidth memory, which is the major driver for DRAM ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

I studied computer science at University College Dublin, where the four-year course covered a broad range of topics. We ...

Abstract: Dynamic memory management is an important aspect of modern software engineering techniques. However developers of real-time systems avoid using it because they fear that the worst-case ...

AI hardware needs to become more brain-like to meet the growing energy demands of real-world applications, according to researchers. In a study published in Frontiers in Science, scientists from ...

The pervasive growth of the Internet of Things (IoT) necessitates efficient communication technologies, among which Long Range Wide Area Network (LoRaWAN) is prominent due to its long-range, low-power ...

Adaptive Asset Allocation (AAA) offers a dynamic, rules-based portfolio strategy designed to deliver steady returns while minimizing downside risk. AAA stands out for ...

A new technical paper titled “Elk: Exploring the Efficiency of Inter-Core Connected AI Chips with Deep Learning Compiler Techniques” was published by researchers at the University of Illinois ...

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 ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now A team of researchers from leading ...