Maintaining a static formation of a swarm of drones and avoiding collisions are two of the main challenges in the field of unmanned aerial vehicles, particularly if they are engaged in observation or ...

Explainable Artificial Intelligence (XAI) seeks to render the operation and decisions of complex machine learning systems transparent and interpretable to users, regulators and other stakeholders. As ...

Scientists in Australia have developed an “explainable” artificial intelligence (AI) tool that could help doctors diagnose schizophrenia by analyzing brainwave patterns, AzerNEWS reports, citing ...

The terrestrial water cycle is a fundamental component of Earth's climate system, governing the exchange of water between land surfaces and the atmosphere.

The mainstream adoption of machine learning in investment management has created a widening gap between predictive ...

In past roles, I’ve spent countless hours trying to understand why state-of-the-art models produced subpar outputs. The underlying issue here is that machine learning models don’t “think” like humans ...

Shekar Vollem, a Senior Software Engineer, researcher, inventor, peer reviewer, and technology leader whose work spans ...

In todays fast evolving financial landscape, artificial intelligence and machine learning are changin how credit decisions get made. But the traditional “black box” models cause worry 'cause nobody ...

The actuarial methodology powering insurance risk models is advancing faster than most carriers realize. Here is what is ...