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- Image-scaling attacks highlight dangers of adversarial machine learning
  
  The pandemic accelerated tech adoption—but that may backfire
  
  Why deep learning won’t give us level 5 self-driving cars
  
  The dangers of trusting black-box machine learning
  
  How AI and predictive analytics eliminate costly IT downtime
Tips & Tricks
- How organizations can manage device security with remote workers
  
  How to choose between rule-based AI and machine learning
  
  Google Drive security: How to protect your documents in the cloud
  
  How to split workloads with Microsoft Azure Stack
  
  How employee time-tracking can help skyrocket your productivity
What is
- What is adversarial machine learning?
  
  What are recurrent neural networks (RNN)?
  
  What is artificial general intelligence (general AI/AGI)?
  
  Are you using AI terminology correctly?
  
  What is browser fingerprinting?
Interviews
- GoPractice Simulator: A unique way to learn product management
  
  Yubico’s 12-year quest to secure online accounts
  
  Deep Medicine: How AI will transform the doctor-patient relationship
  
  Augmented Mind: Why we need a different perspective on AI
  
  Robust AI: Protecting neural networks against adversarial attacks
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Image-scaling attacks highlight dangers of adversarial machine learning
The pandemic accelerated tech adoption—but that may backfire
Why deep learning won’t give us level 5 self-driving cars
The dangers of trusting black-box machine learning
How AI and predictive analytics eliminate costly IT downtime

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At TechTalks, we examine trends in technology, how they affect the way we live and do business, and the problems they solve. But we also discuss the evil side of technology, the darker implications of new tech and what we need to look out for. The idea is to be able to make the most out of the benefits provided by new tech trends and to minimize the trade-offs and costs.

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