Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge ...

Scientists have sought to capture the first days of how a person comes to be, by recreating those early moments in a lab via models made up of induced pluripotent stem cells, or IPSCs. Induced ...

During the penetration process of hypersonic glide vehicles (HGV), the maneuvering forms are varied, which brings some challenges for tracking them, such as difficulty in the stable matching of single ...

Introduction: Hip exoskeletons can lower the metabolic cost of walking in many tasks and populations, but their assistance patterns must be tailored to each user. We developed a simulation-based, ...

Objectives: Mitochondrial encephalomyopathy with lactic acidosis and stroke-like episodes (MELAS) is a rare maternally inherited disease. The neuropathologic mechanisms and neural network alterations ...

Abstract: Accurate localization in GPS-denied environments remains a critical challenge for autonomous robot navigation. Animals exhibit remarkable navigational abilities in complex, dynamic ...

The Week 3 Fantasy football rankings have been shuffled a bit at the quarterback position thanks to the various injuries suffered last week. Joe Burrow, J.J. McCarthy, Justin Fields and Jayden Daniels ...

Today I am diving deep into a Tesla story that’s making waves in the EV community: the discovery of Tesla’s upcoming stripped-down Model Y, code-named E41. This isn’t just rumor or speculation - Green ...

Joseph Alderman et al argue that predictive models in healthcare lack adequate oversight and regulation. They highlight the potential risks to patients and call for improved governance to ensure the ...

An artificial intelligence (AI) algorithm may allow clinicians to predict risk of keratoconus progression with more than 90% accuracy, according to a retrospective study. Using data from the second ...

Abstract: This paper investigates the issue of the event-triggered asynchronous dissipative control for Markov jump systems with unknown probabilities and packet losses. A hidden Markov model is used ...