Rishabh Singh Investigates AI Learning, Reasoning and Persistent Memory
Digital Journal reports on Rishabh Singh’s interest in developing AI systems that can retain what they learn, reason through unfamiliar challenges, and adapt more effectively over time. Singh serves as co-founder and chief technology officer of JoinMeNow Inc. and leads Helix Mind, an independent research initiative focused on memory-enabled AI architectures and continual learning. His approach addresses three important challenges in artificial intelligence: maintaining persistent knowledge, learning new information without catastrophic forgetting, and adapting to new tasks from limited examples. The article places this research within the broader AGI debate, referencing a 2025 AAAI survey and the ARC-AGI-2 benchmark. It also describes Singh’s professional background in quantitative finance, C++ trading systems, machine learning for credit risk, and pricing. Beyond Helix Mind, Singh identifies himself as the founder of Nova Infinity, which focuses on specialized AI products, and Nova Reach, a campaign automation business. JoinMeNow Inc. develops Join-Me-In, a location-based iPhone application. The article makes clear that Helix Mind has not released public papers, code, or benchmark results proving its research approach.
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