The Straits Times

AI solution to make neighbourhoods safer for seniors among projects at new urban planning exhibition

SINGAPORE – Using a mix of sensors, robots and AI, an ongoing study is teaching urban planners how to make Singapore’s neighbourhoods safer for its ageing population. It starts by getting seniors to ...
C&EN

DeepAdjoint: An All-in-One Photonic Inverse Design Framework Integrating Data-Driven Machine Learning with Optimization Algorithms

Department of Materials Science and Engineering, University of California, Los Angeles, Los Angeles, California 90095, United States California NanoSystems Institute, University of California, Los ...
IEEE

High-Accuracy Crater Detection for Complex Planetary Surfaces

Abstract: Impact craters play a crucial role in planetary science, as they serve as windows into the geological evolution of planetary surfaces and are key considerations in selecting landing sites.
GitHub

FeTS-AI/Front-End

The Federated Tumor Segmentation (FeTS) platform, describes an on-going under development open-source toolkit, with a user-friendly graphical user interface (GUI), aiming at: bringing pre-trained ...
BMJ

Validation of a machine learning algorithm for identifying infants at risk of hypoxic ischaemic encephalopathy in a large unseen data set

Objective To validate a hypoxic ischaemic encephalopathy (HIE) prediction algorithm to identify infants at risk of HIE immediately after birth using readily available clinical data. Design Secondary ...
GitHub

Unbiased Learning to Rank Algorithms (ULTRA)

🔥News: A PyTorch version of this package can be found in ULTRA_pytorch. This is an Unbiased Learning To Rank Algorithms (ULTRA) toolbox, which provides a codebase for experiments and research on ...
IEEE

Optimizing Mobile-Friendly Viewport Prediction for Live 360-Degree Video Streaming

Abstract: Viewport prediction is the crucial task for adaptive 360-degree video streaming, as the bitrate control algorithms usually require the knowledge of the user's viewing portions of the frames.
Journal of Medical Internet Research

A Risk Prediction Model (CMC-AKIX) for Postoperative Acute Kidney Injury Using Machine Learning: Algorithm Development and Validation

The models, using 38 preoperative predictors, showed that deep neural network (AUC=0.832), light gradient boosting machine (AUC=0.836), and logistic regression (AUC=0.825) demonstrated superior ...
ahajournals.org

Acute Infarct Core Volume Estimation on Noncontrast Computed Tomography With a Deep Learning Algorithm

In the first phase, stroke activations with baseline NCCT and CT angiography were used to train an aICV‐NCCT. The algorithm was then internally validated using intraclass correlations and Intersection ...
Pocket-lint

Every LG TV user should try these 4 WebOS features

Kelsey is the former Associate Editor and Social Media Coordinator for Pocket-lint. Based in Charlotte, North Carolina, she holds a BA in English, writing and psychology from the University of South ...
ahajournals.org

Do Deep Learning Algorithms Accurately Segment Intracerebral Hemorrhages on Noncontrast Computed Tomography? A Systematic Review and Meta‐Analysis

Stroke, a major global health issue, is broadly categorized into ischemic and hemorrhagic types. The volume of hemorrhage on noncontrast computed tomography guides the treatment options and hints at ...