| |  The rising acceptance of automation in mining opens the door to a broader application of deep learning as a component of a mine automation system. | |
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| |  A 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. | |
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| |  Optical 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. | |
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| |  Silicon 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. | |
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| |  Amazon 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. | |
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| |  Researchers 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. | |
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| |  GSI Technology, Inc. today announced a collaboration with Professor Elaheh Sadredini of the Computer Science Department at the University of California, Riverside. | |
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| |  Based 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. | |
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| |  Researchers 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. | |
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| |  Researchers in the UK have developed a novel molecular diagnostic platform with AI assistance, capable of detecting various COVID-19 variants and other infectious diseases. | |
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| |  Scientists 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. | |
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| |  Velo3D, 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. | |
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| |  Today, non-profit CTrees updated its carbon inventory statistics and maps for all forest and non-forest lands in every country around the world. | |
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| |  The 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. | |
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| |  Researchers 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. | |
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| |  This 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. | |
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| |  Researchers 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. | |
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| |  Researchers 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. | |
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| |  Researchers 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. | |
