Student & Researcher | ML DL AI NS
Key Takeaways from Iris Recognition Algorithms Review: Sources: (PDF) A Review of Iris Recognition AlgorithmsWith the prominent needs for security and reliable mode of identification in biometric system. Iris recognition…
Iris Recognition History Iris recognition is a relatively new technology. While the uniqueness of the iris was recognized long before, automated iris recognition systems only emerged in the late 20th…
Biometric Data Collection Through Third-Party Techniques In my previous post, we explored how biometric data collection extends beyond platforms themselves. Let’s cover three sneaky techniques employed by third parties to…
The Invisible Net: Biometric Data Collection, Privacy, and the Third-Party Threat In today’s digital age, our online interactions leave a trail of data. But beyond clicks and searches, a new…
Fake Followers and Phony Likes: The War on Social Media Imposters We’ve all seen them: accounts with generic profile pictures, spambot-sounding names, and zero content. Fake accounts are a persistent…
Don’t Fake It ‘Til You Make It: Why Growth by Deception Destroys Value In the fast-paced world of startups, the pressure to secure funding and achieve high valuations can be…
Authors: P Sumalatha and G.S. Mahalakshmi, Anna University, India Key Points: Conclusion: The proposed DEF framework demonstrates improved performance compared to existing methods in terms of speed and accuracy for…
Meta data is crucial for stock photographers to get their images seen by potential buyers. Here’s a breakdown of the key metadata elements for a stock photo course: 1. Types…
Understanding Context: From Videos to Meaning Key Points: Fundamentals: Putting it Together: By combining NLP techniques with visual analysis, AI systems can build a comprehensive understanding of the context within…
Building a small personal SNN (Spiking Neural Network) can be done on a budget, but the exact cost depends on your desired capabilities and existing resources. Here’s a breakdown: Hardware:…