The Lancet

Development and validation of a machine-learning model to reduce futile procurements in donations after circulatory death in liver transplantation in the USA…

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
The Lancet

Reducing futile donation after circulatory death procurement with machine learning

Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...

Chip startup d-Matrix raises $275M to speed up inference with in-memory compute

Chip startup d-Matrix Inc. today disclosed that it has raised $275 million in funding to support its commercialization ...
IEEE

Closed-Loop Control of Functional Electrical Stimulation Using a Selectively Recording and Bidirectional Nerve Cuff Interface

Abstract: Discriminating recorded afferent neural information can provide sensory feedback for closed-loop control of functional electrical stimulation, which restores movement to paralyzed limbs.
IEEE

Normalized Cyclic Loop Network for Rail Surface Defect Detection Using Knowledge Distillation

Abstract: In recent years, the application of computer vision for detecting rail defects has shown promising results. However, as the accuracy of the models improves, they become more complex with a ...
Talking Points Memo

Trump Is Using ‘Classical Architecture’ as ‘A Dog Whistle for White Nationalists’

One of President Donald Trump’s final actions in his first administration was a last-ditch attempt to confront the impermanence of a four-year term by leaving his mark on something that could last ...