Latest Blog Posts

• Published on

  May 16, 2026

  

  Data Poisoning a Critical Threat to Foundational AI Models

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  Foundational models are trained on web-scale data, but what if that data is hiding poison? This article explores the mechanics of data poisoning attacks, how they create stealthy backdoors in AI models, and why they pose a critical threat to the entire AI supply chain.

  7 min read

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• Published on

  May 6, 2026

  

  Efficient AI at the Edge with On-Device Architectures

  Edge-AIOn-Device-AIMobileNetQuantizationPruningOptimizationTFLite

  Beyond the cloud, the next AI revolution is on-device. This article breaks down the architectural strategies (like MobileNets), compression techniques (quantization, pruning), and compiler magic required to run powerful AI models under the tight constraints of edge devices.

  7 min read

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• Published on

  April 25, 2026

  

  The Scalable Architecture of Mixture-of-Experts Models

  Mixture-of-ExpertsMoELLMsScalingDeep-LearningArchitecture

  A deep dive into Mixture-of-Experts (MoE), the architecture powering models like Mixtral. Explore how MoE enables massive parameter counts with a fraction of the computational cost through sparse, conditional computation, and the role of gating networks and load balancing.

  7 min read

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