Dario Amodei, the C.E.O. of the artificial-intelligence company Anthropic, has been predicting that an A.I. “smarter than a Nobel Prize winner” in such fields as biology, math, engineering, and ...

A Python-based module for detecting historical matches in time series of financial market data. The price-series match-seeking algorithm is designed to identify similar price patterns within ...

Venture capital powers innovation, yet investment decisions still favor the familiar. From the original design of the industry to the women reshaping its future, the patterns that drive investment may ...

Implement and demonstrate three fundamental string pattern matching algorithms — Rabin-Karp, Knuth-Morris-Pratt (KMP), and Z-Algorithm — widely used in text searching and interview questions. I would ...

As a highly contagious respiratory disease, influenza exhibits significant spatiotemporal fluctuations in incidence, posing a persistent threat to public health and placing considerable strain on ...

Abstract: As semiconductor manufacturing advances into ultra-scaled technology nodes, Static Random Access Memory (SRAM) verification faces critical challenges stemming from increasingly stringent ...

Periodic pattern mining, a branch of data mining, is expanding to provide insight into the occurrence behavior of large volumes of data. Recently, a variety of industries, including fraud detection, ...

Abstract: As chip manufacturing approaches physical limits, the probability of defects due to specific chip layout structures has significantly increased. These defect-prone structures are known as ...

As the complexity of IC designs continues to grow, moving critical checks earlier in the design cycle helps designers identify and resolve issues before they escalate, streamlining the overall ...

As the automotive industry races towards a future of connected, autonomous, and electrified vehicles, the complexity of integrated circuits (ICs) powering these innovations is reaching unprecedented ...