People living with HIV who have taken highly active antiretroviral therapy can have hyperlipidemia predicted in advance by ...

Current care in multiple sclerosis (MS) primarily relies on infrequently obtained data such as magnetic resonance imaging, clinical laboratory tests or clinical history, resulting in subtle changes ...

However, quantum algorithms ... machine identities, maintain operational resilience, meet compliance and regulatory mandates and ensure long-term cryptographic integrity in a post-quantum world.

As the service continues to acquire data points, it’s using that information to train the algorithms and machines ... use the API-based product and machine learning to provide its users with ...

Combining data across mismatched maps is a key challenge in global health and environmental research. A powerful modeling ...

Apple and Microsoft are the world's two most valuable companies as ... models built here in the U.S., but was able to do so by using older Nvidia architectures. For a brief period, investors ...

This map shows roughly where Brood XIV is expected to make an appearance this spring, however, experts say it can be tricky to know exactly which counties will have confirmed sightings.

Machine Learning (ML) represents a subfield of AI devoted to developing decision-making systems trained on sample data. 4 In epidemic prediction, ML can use real-time data to improve understanding ...

At its core, Ben Drowned is a story about a ghost in a machine – one that speaks to ... Hall knew how to make such videos using software to mod (modify) a game. He chose to use that software ...