MIT researchers found that different algorithms can all be grouped into a ‘periodic table’ of AI. The idea for the table was ...

The divergence of ASIC designs makes it difficult to run commonly used modern sequencing analysis pipelines due to software ...

A common view in current machine learning research is that machine learning itself can be used to improve the quality of AI ...

Nexus data lineage: Proofpoint enriches behavioral-based and content-centric controls with cross-channel data lineage, ...

The study establishes that advances in both sensor platforms and AI models have been instrumental in elevating crop type ...

Traditional extraction methods in ETL (Extract, Transform, Load) systems often struggle with the constantly changing formats and sources in today’s digital environments. AI has stepped in to make this ...

MIT researchers have recently unveiled an innovative framework that organizes artificial intelligence (AI) algorithms in a ...

Performance Metrics of the Model: The effectiveness of AI-based hardware Trojan (HT) detection models can be assessed by a range of classification metrics, including accuracy, precision, recall (true ...

AI is embedded in frontline diagnostics and decision-making systems. Machine learning models, trained on clinical datasets, ...

Among the coolest new cybersecurity products showcased at RSAC 2025 included AI-powered tools from SentinelOne, Palo Alto ...