Petabytes of data efficiently travels between edge devices and data centers for processing and computing of AI functions. Accurate and optimized hardware implementations of functions offload many ...

Chaotic hash functions represent a cutting‐edge convergence between nonlinear dynamics and cryptographic science. These functions employ chaotic maps—mathematical systems that exhibit extreme ...

This guide provides more information on the potential implications of a new algorithm called Q* (Qstar) developed by OpenAI, which may represent a significant advancement in artificial intelligence ...

Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...

Many aspects of modern applied research rely on a crucial algorithm called gradient descent. This is a procedure generally used for finding the largest or smallest values of a particular mathematical ...

Most engineers tasked with implementing a mathematical function such as sine, cosine or square root within an FPGA may initially think of doing so by means of a lookup table, possibly combined with ...

Imagine a world where artificial intelligence not only understands language but creates with it, where quantum systems no longer feel like an enigma but a solvable puzzle. It might sound like science ...

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic terms, ...