Over the past decade, the world of investing has been infiltrated by algorithms, machine learning engines and robo-advisors.

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms as well as supporting myriad research applications. Of particular interest ...

AI systems, the study shows, have enhanced accuracy, efficiency, and inclusivity in decision-making. For instance, urban management platforms powered by AI can process massive streams of real-time ...

Abstract: Task offloading strategies in Mobile Edge Computing (MEC) aim to reduce computation delay and energy consumption of mobile devices by offloading tasks to edge servers, which is key to ...

A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk in women by analyzing mammograms. The findings were published today in ...

Abstract: Einstein Würfelt Nicht (EWN) is a stochastic game involving random information and uncertainty. Due to inherent randomness, many algorithms struggle to effectively solve EWN, and their level ...

Remote sensing is a key tool to derive glacier surface velocities but existing mapping methods, such as cross-correlation techniques, can fail where surface properties change temporally or where large ...

Google DeepMind on Wednesday published an exhaustive paper on its safety approach to AGI, roughly defined as AI that can accomplish any task a human can. AGI is a bit of a controversial subject in the ...

Deep learning models, having revolutionized areas of computer vision and natural language processing, become less efficient as they increase in complexity and are bound more by memory bandwidth than ...