Persistent AI memory: what to keep, trust, and forget
Separate context, retrieval, and model adaptation, then test persistent AI memory for provenance, corrections, permissions, deletion, and useful continuity.
From the archive
Author: Ajith Vallath Prabhakar
Ajith Vallath Prabhakar is a seasoned AI strategist and technologist with over 20 years of experience. Passionate about the latest AI advancements, Ajith shares insights on cutting-edge research, innovative applications, and industry trends. Follow to stay updated on AI’s transformative power.
Articles
AI coding assistants: an enterprise adoption guide built around verified changes
Evaluate AI coding assistants through bounded tasks, repository permissions, independent tests, review effort, and delivery outcomes rather than generated-code volume.
LLM observability: tracing failures from request to outcome
A practical guide to AI telemetry, evaluation, privacy and incident response, with a worked investigation and checks for selecting an observability platform.
Small language models: how to choose a model that fits the job
Evaluate a small language model against the task, deployment constraints and cost of an accepted result, with current examples and a practical selection process.
Liquid Neural Networks & Edge‑Optimized Foundation Models: Sustainable On-Device AI for the Future
Liquid Neural Networks (LNNs) are transforming the landscape of edge AI, offering lightweight, adaptive alternatives to traditional deep learning models. Inspired by biological neural dynamics, LNNs operate with continuous-time updates,…
Living intelligence: what AI, biotechnology, and sensors can build together
Examine the evidence behind living intelligence, and evaluate where sensing, AI, and biology belong in the same system.
Multimodal Reasoning AI: Connecting What a System Sees With What It Knows
How multimodal systems connect images, language and records, where those connections fail, and what to test before using an answer in a workflow.
How Vibe Coding Is Redefining Software Development with AI
Vibe coding can turn an idea into a working prototype, but generated code still needs requirements, review, testing, and a maintenance plan. This guide walks through a bounded development workflow…
Exploring the Landscape of LLM-Based Intelligent Agents: A Brain-Inspired Perspective
LLM-based intelligent agents are transforming the AI landscape by moving beyond text prediction into real-world decision-making, planning, and autonomous action. This article offers a comprehensive overview of how these agents…
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