These patents underscore EXL’s commitment to innovation and to building differentiated data and AI capabilities that deliver ...

There is an emerging convergence between atherosclerotic cardiovascular disease and cancer, driven by shared risk factors and overlapping pathophysiologic mechanisms. Traditional factors, such as ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.

A quadruped robot uses deep reinforcement learning to master walking on varied terrains, demonstrating energy-efficient and adaptive locomotion in simulation.

In this video, we will understand all major Optimization in Deep Learning. We will see what is Optimization in Deep Learning and why do we need them in the first place. Optimization in Deep Learning ...

Abstract: Hypersonic flight vehicle faces critical challenges of control from highly nonlinear and time-varying uncertainties, which impose stringent requirements for real-time parameter adaptation ...

Pathway’s post-transformer architecture BDH integrated with NVIDIA AI and AWS cloud infrastructure Pathway model’s continuous learning, efficiency, and live observability is powered by NVIDIA AI ...

State officials on Thursday celebrated new heights in just-released high school graduation rates, though similar achievement levels were not seen in other measures of student learning. California’s ...

1 Department of Quantitative Methods, College of Business, King Faisal University, Al-Ahsa, Saudi Arabia 2 Department of Quantitative Methods, University of Sousse, Sousse, Tunisia Humanitarian aid ...