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IOT

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AI Research, AI Trends, Ethical AI, IOT

May 16, 2022

Must-Know Essential Healthcare Transformations in the post-pandemic digital era

Post pandemic healthcare industry sees a new revolution with new tools, techniques along with metaverse , IoT devices and digital twins

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AI Trends, Covid-19, IOT, Retail, Sustainabiliy

March 26, 2022

Driving business growth with digital twins in supply chain

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AI Research, Architecture, AWS Cloud, Cloud AI, IOT, Sustainabiliy

June 20, 2021

Building Sustainable AI/ML Solutions in the Cloud

When compared to centralized training and cooling mechanisms adopted at data centers , how can Federated Learning help us to achieve greener environments and control CO2e emissions

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Adversarial Networks, AI Research, Anomaly Detection, IOT

July 13, 2020

Anomaly Detection from Head and Abdominal Fetal ECG — A Case study of IOT anomaly detection using Generative Adversarial Networks

Fatal heart, brain monitoring is important for the mother and the baby as it helps to understand the baby’s growth.Lets understand how we discover anomalies from cyclic patterns

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Anomaly Detection Strategies for IOT

IOT, Traditional Machine Learning

May 30, 2020

Anomaly Detection Strategies for IoT Sensors

Motivation IoT has become a massive body of work in recent years. The growing trend of Internet of Things in last few years is evident from the graph below. IoT spans multiple domains and diverse industries. Thousands of new jobs have been created thanks to the advanced in IoT technology. The interpretability of IoT data creates a path for: Defining ML models Increasing the accuracy of predicting events Raising alarms, among other things My aim […]

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Recent Posts

  • Must-Know Essential Healthcare Transformations in the post-pandemic digital era
  • Driving business growth with digital twins in supply chain
  • Building Sustainable AI/ML Solutions in the Cloud
  • Covid-19 ML Datasets, ML Models, and Tools Every Data Scientist should Know
  • Effective role of AI/ML in Supply Chain amidst covid-19
  • What Data Scientists should know about Multi-output and Multi-label Training
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  • Blockchain as Next-Generation Data and Model Governance Ultimate Framework
  • Time-Series Feature Extraction with Easy One Line of Python Code
  • Importance of Service Mesh Networks for Scaling Enterprise AI

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  • Interview with Women Who Inspire Us
  • #23/100 – “100 Stories | 100 Lessons” with Sharmistha Chatterjee

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Black Mirror Tech IRL: Hacker Noon Writers on What’s Worrying in 2021

https://www.youtube.com/watch?v=_68ecjdUIqs

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Must-Know Essential Healthcare Transformations in the post-pandemic digital era

Driving business growth with digital twins in supply chain

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Building Sustainable AI/ML Solutions in the Cloud

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Covid-19 ML Datasets, ML Models, and Tools Every Data Scientist should Know

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