As hiring for entry-level IT and cyber roles slows, San Antonio's pandemic-era jobs program is offering more real-world ...

The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...

Objective To determine how distinct combinations of resistance training prescription (RTx) variables (load, sets and frequency) affect muscle strength and hypertrophy. Data sources MEDLINE, Embase, ...

In the future, a new type of computer may be able to learn much like you do—by experience rather than endless repetition or ...

Could computers ever learn more like humans do, without relying on artificial intelligence (AI) systems that must undergo extremely expensive ...

Rumours of one organisation taking their systems offline in the midst of an attack spurred conversation on what the ...

When an LLM suggests a snippet that “just works”, it’s easy to move fast and trust the output. But research has shown that AI-generated code often contains subtle flaws – flaws that might be missed ...

Abstract: Graphs are widely used to model the complex relationships among entities. As a powerful tool for graph analytics, graph neural networks (GNNs) have recently gained wide attention due to its ...

Objective To perform a large-scale pairwise and network meta-analysis on the effects of all relevant exercise training modes on resting blood pressure to establish optimal antihypertensive exercise ...

Abstract: This paper presents the development, implementation, and validation of a platform designed to enhance high school students’ preparation for the Applied Informatics Olympiad AcadNet and the ...