With the addition of Scytec’s DataXchange software, Minitab extends its capabilities to collect comprehensive, real-time operational data from machines such as CNC (Computer Numerical Control) ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

The long-standing model of mutual benefit is rapidly disappearing ...

PhaseV, a leader in AI/ML for clinical development, is today presenting new study results demonstrating its ability to ...

Robots for specific blue collar tasks in difficult, repetitive and harsh environments are delivering value now in terms of quality, safety, cost and process efficiencies.

The special issue aims to bring together high-quality research that demonstrates the transformative role of Artificial Intelligence and Machine Learning ...

Machine learning (ML) and deep learning (DL) as two well-known methods of artificial intelligence (AI) have emerged as powerful tools in extracting insights and patterns from vast amounts of data. In ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

We’re witnessing a collision between AI’s growing sophistication and natural intelligence’s vulnerabilities, which leads to ...

Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.

A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...

ERCOT is making a first attempt at a planning process in which multiple requests will be considered simultaneously.