Nested Learning AI: How Google’s New Continual Learning Works
Google’s Nested Learning AI introduces a new continual learning paradigm, allowing AI models to add new knowledge on top of existing layers without forgetting prior skills.
Open‑Source LLMs 2025: What New Models Mean for Developers
Open‑source LLMs 2025 have brought powerful, affordable models into the hands of developers. From Claude Opus 45 to GPT‑5, these new releases improve reasoning, safety, and deployment flexibility.
Open‑Source LLMs 2025: A Deep Dive into the Latest Models and Their Impact
The year 2025 brings powerful open‑source LLMs like Olmo 3, GLM 4.6, and GPT‑5.1 Codex‑Max. This guide explains their strengths, how to use them, and the tools that make AI development accessible.
Synthetic Data Reinforcement Learning Boosts AI Models
Synthetic data reinforcement learning lets AI models generate, edit, and learn from their own data, boosting accuracy while cutting training costs. Learn how it works, its benefits, and how developers can start using this new technique.
Open‑Source LLMs of 2025: What the New GPT‑OSS Models Mean for Developers
OpenAI’s new GPT‑oss‑120b and GPT‑oss‑20b models bring GPT‑4‑level performance to open‑source LLMs. Learn how to set them up, fine‑tune, and apply them in real‑world projects.
Fair Human-Centric Image Benchmark: A New Standard for Fairness in AI Vision
Sony AI’s Fair Human‑Centric Image Benchmark is a free, open dataset that helps developers test and fix bias in computer‑vision models. Read our guide to start building fairer AI today.
The Rise of Agentic AI Frameworks: How SEAL and DeepResearch Are Shaping the Future
Agentic AI frameworks such as SEAL and DeepResearch empower models to plan, act, and learn. This article covers new model releases, practical guides, and how to integrate them into your projects.
TinyML Neural Architecture Search: Automating Model Design for Edge Devices
TinyML neural architecture search automates the design of compact AI models that run on microcontrollers. This guide shows how to search, quantify, and deploy a model on an ESP32.
Federated Learning for Edge Devices
Federated learning for edge devices lets tiny gadgets learn together while keeping data private. This guide covers the basics, tools, and a smart‑home example.
AI Threat Hunting: Turning Cyber Defense into Proactive Action
AI threat hunting blends anomaly detection, behavioural models, NLP and graph analysis to uncover hidden cyber threats early.