Parsons has decades of experience supporting the Army and other DoD and Intelligence Community partners in integrating emergent technologies into their systems of record, from research and development ...

The spread of metastatic brain cancer presents one of the most challenging hurdles in oncology, as it often leads to poor ...

This valuable study tests a methodology for the discovery of new honey bee-repellent odorants via machine learning. The conclusions of the study are supported by solid evidence, with predicted ...

Market is experiencing robust growth, driven by increasing demand for data-driven decision-making and streamlined financial ...

The rapid advancement of Artificial Intelligence (AI) and Machine Learning (ML) has revolutionized how businesses operate, ...

Machine unlearning introduces a range of security challenges that extend beyond those faced by traditional ML systems. A ...

Researchers developed COMET, a deep learning framework that leverages electronic health records and omics data to improve ...

Explore whether emotional AI could become empathetic enough to ‘feel’ like humans. Or maybe we shouldn’t try to humanize it ...

Collaboration Leveraging University Health Network's Expertise to Evaluate PhaseV's Machine Learning (ML) Platform to Identify Causes of Lupus Progression and Improve Drug Development BOSTON, Jan. 16, ...

Indicators for Gleevec nonadherence were cognitive functioning, global health status score, social support, gender and others ...

Planners are entirely out of their element when attempting to compete with machines in campaign optimization. Could a planner do the same calculations that machine learning does? Yes, but it would ...

What does it mean when machines start thinking for themselves? We’ll break down the concept of machine learning and how it’s ...