Abstract: This article proposes a low-complexity maximum likelihood sequence estimation (MLSE) algorithm tailored for non-return-to-zero (NRZ) high-speed transceivers. In particle physics experiments, ...

For more than a century, Srinivasa Ramanujan’s uncanny formulas for the number pi have looked like pure mathematical ...

Worse, the most recent CERN implementation of the FPGA-Based Level-1 Trigger planned for the 2026-2036 decade is a 650 kW system containing an incredibly high number of transistor, 20 trillion in all, ...

Abstract: Empirical mode decomposition (EMD) is a nonlinear, data-dependent method that decomposes a nonstationary signal into a few oscillation modes, which are referred to as intrinsic mode ...

Quantum chemistry is quietly entering a new phase, one where some of the hardest problems in materials science are finally ...

When this data is organized chronologically—tracking changes in a specific metric over time—it becomes time-series data.

Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.