For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world ...

Overview AI in soil health analysis enables faster, more accurate assessment of soil conditions using data from sensors, ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Overview: Data mining tools in 2026 focus on usability, scale, and real business impact.Visual and cloud-based platforms are ...

Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

Most organisations now use AI in at least one function to complete tasks quickly, accurately, and reliably. Many positions ...

Driven by a plethora of benefits, data sharing is gradually becoming a “must have” for advanced device nodes and multi-die ...

Recent advances in the field of artificial intelligence (AI) have opened new exciting possibilities for the rapid analysis of ...

AI tools are highly complex and may be flawed, hallucinate and reflect biases, according to Merrill. Financial advice firms ...

AI has revealed why cancer survival differs so dramatically around the world, highlighting the specific health system factors that matter most in each country.