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Quantum Quest to Enhance AI for Aerospace Data Analysis

March 7 at 2:30 pm
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  • Case Studies
  • Track 1
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Aerospace is an industry characterised by vast amounts of data, often requiring rapid analysis to accurately predict any abnormal behavior. This talk will delve into quantum-enhanced anomaly detection, employing various quantum-enhanced neural networks for analyzing such aerospace data and predicting anomalies. It will shed light both the potential advantages and disadvantages of utilising quantum-enhanced methods compared to classical approaches in anomaly detection tasks.
Akshat Tandon, AI Researcher, Central R&T, Airbus
 
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Featured Speaker(s):
Akshat Tandon

Akshat Tandon

AI Researcher, Central R&T Airbus
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Quantum Quest to Enhance AI for Aerospace Data Analysis

March 7 @ 2:30 pm - 2:50 pm

Event Series Event Series (See All)
Featured Speaker(s):
Akshat Tandon

Akshat Tandon

AI Researcher, Central R&T Airbus

Aerospace is an industry characterised by vast amounts of data, often requiring rapid analysis to accurately predict any abnormal behavior. This talk will delve into quantum-enhanced anomaly detection, employing various quantum-enhanced neural networks for analyzing such aerospace data and predicting anomalies. It will shed light both the potential advantages and disadvantages of utilising quantum-enhanced methods compared to classical approaches in anomaly detection tasks.

Akshat Tandon, AI Researcher, Central R&T, Airbus

 

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Date:
March 7
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2:30 pm - 2:50 pm
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Case Studies
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