Tanuj Mathur is a technology researcher and practitioner with extensive experience in distributed computing, cybersecurity, ...

Caching functions as an essential business performance and cost efficiency tool for distributed architectures, far beyond its ...

Distributed computing has markedly advanced the efficiency and reliability of complex numerical tasks, particularly matrix multiplication, which is central to numerous computational applications from ...

The difference between distributed computing and concurrent programming is a common area of confusion as there is a significant amount of overlap between the two when you set out to accomplish ...

Google's TensorFlow machine learning system can now be distributed across multiple machines in an update, TensorFlow 0.8. The machine learning software is already distributed across hundreds of ...

Previous year i.e., 2023 has clearly been a standout year in terms of advancements in field of AI domain. Traditionally it’s always been felt that to get the most out of AI one need a strong ...

A distributed system has a number of independent computers allied up a network and sharing middleware which enables computers to organize their behavior and behave as a single coherent system. Mobile ...

I work with simulation and modeling and sometimes we have to run large tasks that would take days to complete on a single computer. Currently our method of dealing with these is to break up job into ...

The initiative seeks to link large-scale, fault-tolerant quantum computers, with a proof-of-concept targeted by the end of 2030.

IBM IBM will partner with Cisco Systems CSCO to build a network of "large-scale, fault-tolerant quantum computers" by early ...

Genetically engineered bacteria, rigged up as a distributed computing system, might help realize synthetic biology’s loftier goals. E. coli thrives in our guts, sometimes to unfortunate effect, and it ...