Results 51 to 60 of about 304,009 (317)
Directed evolution of enzymes at the crossroads of tradition and innovation
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Low-Power 8T SRAM Compute-in-Memory Macro for Edge AI Processors
The traditional Von Neumann architecture creates bottlenecks due to data movement. The compute-in-memory (CIM) architecture performs computations within memory bit-cell arrays, enhancing computational performance.
Hye-Ju Shin, Sung-Hun Jo
doaj +1 more source
With the shrinking feature sizes of static random access memory-based field programmable gate arrays (FPGAs), the occurrence probability of multiple-cell upsets (MCUs) in FPGAs continues to increase. This reduces the reliability of FPGAs.
Yue Li +3 more
doaj +1 more source
Leakage Controlled Read Stable Static Random Access Memories
Semiconductor manufacturing process scaling increases leakage and transistor variations, both of which are problematic for static random access memory (SRAM). Since SRAM is a critical component in modern CMOS integrated circuits, novel approaches to addressing these problems are needed.
Sayeed A. Badrudduza +3 more
openaire +1 more source
Compressing High-Dimensional Data Spaces Using Non-Differential Augmented Vector Quantization [PDF]
query processing times and space requirements. Database compression has been discovered to alleviate the I/O bottleneck, reduce disk space, improve disk access speed, speed up query, reduce overall retrieval time and increase the effective I/O ...
Atayero, A. A., Olugbara, O. O.
core
ABSTRACT As global populations age, cancer is increasingly becoming a leading cause of morbidity and mortality among older adults, particularly in low‐ and middle‐income countries (LMICs). Despite accounting for the majority of new cancer cases and deaths, older individuals remain underrepresented in cancer research, clinical guidelines, and health ...
Ibrahim Bidemi Abdullateef +2 more
wiley +1 more source
Computationally Data-Independent Memory Hard Functions [PDF]
Memory hard functions (MHFs) are an important cryptographic primitive that are used to design egalitarian proofs of work and in the construction of moderately expensive key-derivation functions resistant to brute-force attacks. Broadly speaking, MHFs can
Ameri, Mohammad Hassan +2 more
core +2 more sources
Shared Genetic Effects and Antagonistic Pleiotropy Between Multiple Sclerosis and Common Cancers
ABSTRACT Objective Epidemiologic studies have reported inconsistent altered cancer risk in individuals with multiple sclerosis (MS). Factors such as immune dysregulation, comorbidities, and disease‐modifying therapies may contribute to this variability.
Asli Buyukkurt +5 more
wiley +1 more source
System and method for cognitive processing for data fusion [PDF]
A system and method for cognitive processing of sensor data. A processor array receiving analog sensor data and having programmable interconnects, multiplication weights, and filters provides for adaptive learning in real-time.
Duong, Tuan A., Duong, Vu A.
core +1 more source
Criticality Aware Soft Error Mitigation in the Configuration Memory of SRAM based FPGA
Efficient low complexity error correcting code(ECC) is considered as an effective technique for mitigation of multi-bit upset (MBU) in the configuration memory(CM)of static random access memory (SRAM) based Field Programmable Gate Array (FPGA) devices ...
Chakrabarti, Amlan +4 more
core +1 more source

