Convolutional Neural Networks (CNNs) are deep learning algorithms that have a wide scope in various applications such as image processing, healthcare and agriculture. However, their high computational ...

Data science is everywhere, a driving force behind modern decisions. When a streaming service suggests a movie, a bank sends ...

A recent study explored rapid evaporative ionization mass spectrometry (REIMS) as a high-throughput, real-time alternative. By analyzing metabolomic fingerprints from pig neck fat, REIMS was combined ...

The FBI doesn't need AI to conduct mass surveillance — it just needs access to the commercial data infrastructure that already blankets everyday life. The Guardian's report reveals that the real ...

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...

Researchers have optimized a headspace sorptive extraction (HSSE) method coupled with gas chromatography-mass spectrometry ...

Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a ...

If African governments rely primarily on foreign AI-native exploration firms, the informational premium the refined ...

A recent INMA Webinar featured Erica Greene, director of engineering for machine learning at Yahoo News, and Ritvvij Parrikh, ...

Quantum machine learning is being explored as the next frontier in cybersecurity, but new research shows it remains far from replacing established artificial intelligence systems in detecting phishing ...

Abstract: In recent years, model interpretability has attracted significantly increasing attention and research interests from different backgrounds and perspectives. This paper focuses on ...

You're responsible for your own Spotify algorithm now. On stage at SXSW, Spotify's co-CEO, Gustav Söderström, announced the Taste Profile feature, which allows users to personally customize exactly ...