Transhumanismus
Estimation of gait events and kinetic waveforms with wearable sensors and machine … – Nature
Wearable sensors and machine learning algorithms are becoming a viable alternative for biomechanical analysis outside of the laboratory.
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Machine learning predicts biodiversity and resilience in the ‘coral triangle’ – Phys.org
Coral reef conservation is a steppingstone to protect marine biodiversity and life in the ocean as we know it. The health of coral also has huge …
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Amazon and Howard University Announce Academic Collaboration
We propose a deep-learning-based approach to unlock the value of the above-unstructured information in clinical notes. The proposed method integrates …
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Amazon and Howard University Announce Academic Collaboration
“Through their research, funded in part by Amazon, our faculty and students are working to make advances in artificial intelligence, machine …
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VisionTrack launches AI-powered video analysis for proactive risk intervention – Fleet World
The technology's advanced object recognition makes use of deep learning algorithms to automatically identify different types of vehicles, …
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Heart Failure Risk Prediction With Machine Learning in Atrial Fibrillation
Researchers have created and validated a new machine–learning model for predicting risk for heart failure hospitalization in patients with atrial …
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Bank of America Sets Record-Breaking Year for Patents Granted in 2022
The patents represent innovation across many areas including artificial intelligence, machine learning, information security, data analytics, mobile …
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Global Amusement and Theme Parks Strategic Market Report 2023 – PR Newswire
Global Amusement and Theme Parks Strategic Market Report 2023: Artificial Intelligence & Machine Learning Present New Opportunities.
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AI Tech Revolutionizes Super Bowl Team Prep | Mirage News
Using deep learning and computer vision, the researchers have created an algorithm that can consistently locate and label players from game film …
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The Potential Future of Machine Learning and 3D Printing – 3DPrint.com
The thoughts of such entities themselves could be very different from our own, but could be equal in speed or ability. In machine learning, a computer …
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Machine–Learning Approach Aims to Optimize Rare Disease Diagnosis – HealthITAnalytics
New research from Stanford University describes the creation of a machine–learning framework that could predict a comprehensive set of diagnosis …
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What to expect from machine learning in 2023 – TechCentral
Promoted | This article was written by a machine–learning model, along with Helm's award-winning natural language processing specialist and its …
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Singapore researchers develop AI tool that detects high myopia risk in children – CNA
The AI tool uses deep learning algorithms to identify high-risk children, and can assist clinicians in early myopia management and control.
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How technology developed by BYU engineers could benefit future Super Bowl teams
BYU engineers recently developed a deep-learning algorithm to automate the process of analyzing football footage.
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A New AI Research Addresses the Issue of News Suggestions Influencing Ideology – MarkTechPost
Many current techniques for deep learning-based news recommendation are based on Attention, which learns from past click logs to acquire user and news …
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Robosense to Supply Lidar for Self-Driving Toyotas – IoT World Today
Edge Computing, Deep Learning Power Amazon Go. Feb 09, 2023. Latest Videos. Transportation/Logistics · Indy Autonomous Challenge …
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The AI in Healthcare Market is projected to grow from USD – GlobeNewswire
Deep learning technology is used in voice recognition, fraud detection, voice search, recommendation engines, sentiment analysis, …
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Three Principles of Responsibility for Artificial Intelligence (AI) in Healthcare – Pfizer
“Artificial intelligence and machine learning enable us to use data to gain insights into disease and increase our understanding of how different …
France-based Avicenna.AI bags €9.2M; aims to empower radiology with AI | Silicon Canals
Avicenna.ai's deep learning is used in healthcare AI solutions to recognise, detect, and quantify life-threatening disorders in CT scans.
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AI, Machine Learning and Deep Learning in the enterprise: Implications to data storage
Developing deep learning applications generally follows a three-step process of: Data preparation, where huge amounts of “raw materials” are turned …
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