Smartphone and AI-Based Estimation of Body Composition in Youth Soccer Players
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 Autonomous Nanorobots Achieve Powerful Thrust on Dry Surfaces Using Photothermal ShockAutonomous Nanorobots Achieve Powerful Thrust on Dry Surfaces Using Photothermal Shock
 
Researchers introduce a groundbreaking solution for nanorobotic motion limitations on solid surfaces by developing micronewton-thrust nanomotors utilizing a photothermal-shock technique. These nanorobots demonstrate exceptional thrust-to-weight ratios, enabling precise control on dry surfaces and interactions with micro/nano-objects.
 
 
 Smartphone and AI-Based Estimation of Body Composition in Youth Soccer PlayersSmartphone and AI-Based Estimation of Body Composition in Youth Soccer Players
 
This pioneering study investigated the accuracy of smartphone-based estimation of body composition in youth soccer players, utilizing a novel app (Mobile Fit) for digital anthropometric assessments. Researchers evaluated its validity against dual-energy X-ray absorptiometry (DXA) and developed population-specific equations for appendicular lean mass and body fat percentage estimation.
 
   Intelligent Forecasting of Free Atmospheric Corrosion in Marine Steel StructureIntelligent Forecasting of Free Atmospheric Corrosion in Marine Steel Structure
 
Researchers present an intelligent framework, integrating a Group Method of Data Handling (GMDH) neural network and Shapley Additive Explanations (SHAP) analysis, to predict free atmospheric corrosion in marine steel structures. Leveraging historical sensor data, the framework demonstrates high forecasting accuracy, with optimal parameter selection enhancing performance.
 
   Arca Announces Funding Support from the B.C. Centre for Innovation and Clean Energy to Capture Atmospheric Carbon Dioxide and Transform it into RockArca Announces Funding Support from the B.C. Centre for Innovation and Clean Energy to Capture Atmospheric Carbon Dioxide and Transform it into Rock
 
Arca, the carbon mineralization company, today announced that the B.C. Centre for Innovation and Clean Energy (CICE) has provided the company with a CDN$1.25M grant.
 
 Deep Learning in Mining: Advancements in Mineral Exploration
 
Deep Learning in Mining: Advancements in Mineral ExplorationThe rising acceptance of automation in mining opens the door to a broader application of deep learning as a component of a mine automation system.
 
 
 Cell-Derived Nanoparticles Decrease Infectiousness of SARS-CoV-2
 
Cell-Derived Nanoparticles Decrease Infectiousness of SARS-CoV-2A group of researchers found that nanoparticles called “extracellular vesicles” (EVs) released by cells have the ability to reduce the infectiousness of SARS-CoV-2, including both wild-type and variant strains, as well as possibly other infectious diseases.
 
 
 Photonic Chips Pave the Way for Unhindered Optical Wireless Communication
 
Photonic Chips Pave the Way for Unhindered Optical Wireless CommunicationOptical wireless technology might have cleared its hurdles. Collaborative research involving Politecnico di Milano, Scuola Superiore Sant'Anna in Pisa, the University of Glasgow, and Stanford University has yielded groundbreaking results.
 
 
 Emerging Trends in Silicon Photonics for Datacom and Telecom
 
Emerging Trends in Silicon Photonics for Datacom and TelecomSilicon photonics have garnered substantial attention in the fields of data and telecommunication. With the demand for power-efficient, faster communication technologies over the past decade, silicon photonics has emerged as a disruptive technology for resolving bottlenecks in the data and telecom fields.
 
 
 2 Million People to Receive Free AI Training Through Amazon Project
 
2 Million People to Receive Free AI Training Through Amazon ProjectAmazon has announced that they will provide free Artificial Intelligence training to two million people by 2025 via their ‘AI Ready’ commitment which is set to boost proficiencies in this emerging piece of technology.
 
 
 GraphNovo, A ML Platform to Analyze Unfamiliar Cell Composition
 
GraphNovo, A ML Platform to Analyze Unfamiliar Cell CompositionResearchers are utilizing machine learning to analyze the composition of unfamiliar cells, potentially paving the way for enhanced personalized medicine in the treatment of cancer and other severe illnesses.
 
 
 GSI Technology Announces Collaboration With UC Riverside to Advance AI and High-Performance Computing
 
GSI Technology Announces Collaboration With UC Riverside to Advance AI and High-Performance ComputingGSI Technology, Inc. today announced a collaboration with Professor Elaheh Sadredini of the Computer Science Department at the University of California, Riverside.
 
 
 AI-Powered Risk Assessment Mitigates Racial Bias in Breast Cancer Diagnosis
 
AI-Powered Risk Assessment Mitigates Racial Bias in Breast Cancer DiagnosisBased on research presented at the annual conference of the Radiological Society of North America (RSNA), a deep learning artificial intelligence (AI) model was developed by utilizing only mammogram image biomarkers, which precisely predicted both ductal carcinoma in situ (DCIS) and invasive carcinoma.
 
 
 AI and ADHD Diagnosis in Adolescents
 
AI and ADHD Diagnosis in AdolescentsResearchers discovered notable abnormalities in nine brain white matter pathways in adolescents with attention-deficit/hyperactivity disorder (ADHD) after using artificial intelligence (AI) to evaluate specialized brain MRI scans of adolescents with and without the disease.
 
 
 New Molecular Diagnostic Platform with AI for Detecting COVID-19 Variants
 
New Molecular Diagnostic Platform with AI for Detecting COVID-19 VariantsResearchers in the UK have developed a novel molecular diagnostic platform with AI assistance, capable of detecting various COVID-19 variants and other infectious diseases.
 
 
 Revolutionizing Peptide Sequencing with Machine Learning for Personalized Medicine
 
Revolutionizing Peptide Sequencing with Machine Learning for Personalized MedicineScientists are employing machine learning to examine the structure of unfamiliar cells, potentially opening the door to improved personalized medicine for addressing cancer and other serious ailments.
 
 
 Atomic Industries Unlocks New Capabilities in Tool and Die Manufacturing with Velo3D’s Fully Integrated Metal 3D Printing Solution
 
Atomic Industries Unlocks New Capabilities in Tool and Die Manufacturing with Velo3D’s Fully Integrated Metal 3D Printing SolutionVelo3D, Inc. today announced that Atomic Industries, a creator of artificial intelligence-powered manufacturing solutions, has purchased a fully integrated metal additive manufacturing solution to provide its customers with 3D printed tooling and dies.
 
 
 COP28: Leading Scientists Release National Data on Land Carbon Critical to Global Stocktake
 
COP28: Leading Scientists Release National Data on Land Carbon Critical to Global StocktakeToday, non-profit CTrees updated its carbon inventory statistics and maps for all forest and non-forest lands in every country around the world.
 
 
 AI-Enhanced Wireless Localization Technologies: A Comprehensive Review
 
AI-Enhanced Wireless Localization Technologies: A Comprehensive ReviewThe paper provides a comprehensive review of artificial intelligence (AI)-assisted wireless localization technologies addressing limitations in existing systems. It discusses AI algorithms to counteract signal quality deterioration, spatiotemporal asynchronization, non-line-of-sight (NLoS) event identification, and miscellaneous methods for performance enhancement.
 
 
 Comparative Analysis of Deep Learning Methods for Radar-Based Human Activity Recognition
 
Comparative Analysis of Deep Learning Methods for Radar-Based Human Activity RecognitionResearchers emphasize the growing significance of radar-based human activity recognition (HAR) in safety and surveillance, highlighting its advantages over vision-based sensing in challenging conditions. The study reviews classical Machine Learning (ML) and Deep Learning (DL) approaches, with DL's advantage in avoiding manual feature extraction and ML's robust empirical basis.
 
 
 FollowNet: A Unified Benchmark for Advancing Car-Following Behavior Modeling
 
FollowNet: A Unified Benchmark for Advancing Car-Following Behavior ModelingThis paper introduces FollowNet, a pioneering initiative addressing challenges in modeling car-following behavior. With a unified benchmark dataset consolidating over 80K car-following events from diverse public driving datasets, FollowNet sets a standard for evaluating and comparing car-following models, overcoming format inconsistencies in existing datasets.
 
 
 Autonomous Programmable Graph Learning for Efficient Heterogeneous Computing
 
Autonomous Programmable Graph Learning for Efficient Heterogeneous ComputingResearchers propose a groundbreaking framework, PGL, for autonomous and programmable graph representation learning (PGL) in heterogeneous computing systems. Focused on optimizing program execution, especially in applications like autonomous vehicles and machine vision, PGL leverages machine learning to dynamically map software computations onto CPUs and GPUs.
 
 
 Decoding Human-Machine Interactions: A Curated Dataset for Adaptive Human-Machine Interfaces
 
Decoding Human-Machine Interactions: A Curated Dataset for Adaptive Human-Machine InterfacesResearchers present a meticulously curated dataset of human-machine interactions, gathered through a specialized application with formally defined User Interfaces (UIs). This dataset aims to decode user behavior and advance adaptive Human-Machine Interfaces (HMIs), providing a valuable resource for professionals and data analysts engaged in HMI research and development.
 
 
 Bridging the AI Translation Gap in Healthcare: A Quality Management System Approach
 
Bridging the AI Translation Gap in Healthcare: A Quality Management System ApproachResearchers propose leveraging a Quality Management System (QMS) tailored to healthcare AI as a systematic solution to bridge the translation gap from research to clinical application. The QMS, aligned with ISO 13485 and risk-based approaches, addresses key components enabling healthcare organizations to navigate regulatory complexities, minimize redundancy, and optimize the ethical deployment of AI in patient care.