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20+ Solved AI Projects to Build Your Portfolio and Boost Your Resume

Projects are the bridge between learning and becoming a professional. While theory builds fundamentals, recruiters value candidates who can solve real problems. A strong, diverse portfolio showcases practical skills, technical range, and problem-solving ability.  This guide compiles over 20 solved projects across AI domains, from basic machine learning to advanced generative AI and agentic systems.

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Seed Funding Hasn’t Stalled, But It’s Skewing Larger And Is More Competitive Than Ever, Crunchbase Data Shows

Venture capital news headlines these days are dominated by stories of size: capital concentration into the highest-growth companies, surging valuations, seed rounds totaling tens or even hundreds of millions of dollars, and megafunds raising tens of billions in new capital. Smaller funds and more modest seed rounds are seemingly out of favor. Seed trends bifurcate

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Spotting and Avoiding ROT in Your Agentic AI

The following article originally appeared on Q McCallum’s blog and is being republished here with the author’s permission. Generative AI agents and rogue traders pose similar insider threats to their employers. Specifically, we can expect companies to deploy agentic AI with broad reach and insufficient oversight. That creates the conditions for a particular flavor of

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Resource-constrained image generation and visual understanding: an interview with Aniket Roy

In the latest in our series of interviews meeting the AAAI/SIGAI Doctoral Consortium participants, we caught up with Aniket Roy to find out more about his research on generative models for computer vision tasks. Tell us a bit about your PhD – where did you study, and what was the topic of your research? I

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