Algorithms are not innocent codes based on machine learning and artificial intelligence, but ideological devices that shape ...

To gain a competitive edge with AI, healthcare companies should reclassify their data in a uniform way and upskill staff, ...

Research team proposed new data placement algorithms for scratch-pad memory (SPM) in embedded systems. Their fine-grained and ...

The bookshelf problem (which computer scientists call the “list labeling” problem) is one of the most basic topics in the field of data structures. “It’s the kind of problem you’d teach to freshman or ...

Every protein in the body is encased in a water shell that directs protein structure, provides vital stability and steers ...

Healthcare delivery is being transformed by the rapid growth of data, advancements in artificial intelligence (AI) and other ...

A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen ...

Firecrawl redefines web data acquisition for the AI era, offering developers an enterprise-grade tool kit that abstracts away web scraping complexities.

This review examines AI and ML's role in transforming thermoelectric materials design, focusing on defect engineering and ...

Unit 2: Computer Networks Evolution of networking: introduction to computer networks, evolution of networking (ARPANET, NSFNET, INTERNET) Data communication terminologies: concept of communication ...

A novel real-time automated damage detection method leveraging reinforcement learning has been unveiled in a recent study ...

This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...