Building AI-Ready Backends With Spring Boot in 2026
Author(s): FutureLens Originally published on Towards AI. Building AI-Ready Backends With Spring Boot in 2026 Modern applications are no longer just CRUD systems — they’re expected to integrate intelligent features like recommendations, automation, and natural language interactions. That shift has pushed backend …
Crack ML Interviews with Confidence: Anomaly Detection (20 Q&A)
Author(s): Shahidullah Kawsar Originally published on Towards AI. Data Scientist & Machine Learning Interview Preparation Different types of anomaly detection techniques: Source: Image is generated by ChatGPTThis article discusses various anomaly detection techniques relevant for data scientists and machine learning practitioners, outlining …
Hate Speech Detection Still Cooks (Even in 2026)
Author(s): Saif Rathod Originally published on Towards AI. The failure case you didn’t see coming In late 2025, a major social platform quietly rolled back parts of its LLM-based moderation pipeline after internal audits revealed a systematic pattern: posts in African American …
Crack ML Interviews with Confidence: Data Preparation (20 Q&A)
Author(s): Shahidullah Kawsar Originally published on Towards AI. Data Scientist & Machine Learning Interview Preparation Data preparation is the foundation of every successful machine learning project. Before algorithms can learn, raw data must be collected, cleaned, understood, and transformed into a form …
From Monolith to Microservices: A Developer’s Survival Guide in 2026
Author(s): FutureLens Originally published on Towards AI. From Monolith to Microservices: A Developer’s Survival Guide in 2026 The journey starting from monolithic architecture to microservices is a very big challenging nowadays yet rewarding one. As we are explore in the ins and …
🤖 AI Agents in 2026: From Chatbots to Systems That Actually Do Things
Author(s): AbhinayaPinreddy Originally published on Towards AI. 🤖 AI Agents in 2026: From Chatbots to Systems That Actually Do Things The Problem Nobody Talks About You’ve probably used an AI chatbot and felt the excitement crash into disappointment. You type: “Refactor this …
Agent Observability and Evaluation: A 2026 Developer’s Guide to Building Reliable AI Agents
Author(s): Divy Yadav Originally published on Towards AI. Why building agents without this layer is like driving blind. And how to fix it. You know exactly where to look when traditional software malfunctions. line number, stack trace, and error log. You’ll find …
The Architecture of Fluidity: Liquid Neural Networks, Foundation Models, and the Frontier of Continuous-Time Intelligence in 2026
Author(s): Adi Insights and Innovations Originally published on Towards AI. The Architecture of Fluidity: Liquid Neural Networks, Foundation Models, and the Frontier of Continuous-Time Intelligence in 2026 The year 2026 represents a seminal inflection point in the trajectory of artificial intelligence, characterized …
Top 20 ML Model Development Interview Questions and Answers (Part 2 of 2)
Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 33 Machine Learning (ML) model development is the systematic process of transforming raw data into predictive and decision-making systems that deliver measurable business value. It encompasses problem framing, data …
Top 20 Time Series Forecasting Interview Questions and Answers (Part 1 of 2)
Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 28 Time-series forecasting is the process of predicting future values based on historical data collected over time at regular intervals. It focuses on identifying patterns such as trends (long-term …
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