There’s a pattern playing out inside almost every engineering organization right now. A developer installs GitHub Copilot to ship code […]
Category: Deep Learning
Mend.io Releases AI Security Governance Framework Covering Asset Inventory, Risk Tiering, AI Supply Chain Security, and Maturity Model
There’s a pattern playing out inside almost every engineering organization right now. A developer installs GitHub Copilot to ship code […]
A Detailed Implementation on Equinox with JAX Native Modules, Filtered Transforms, Stateful Layers, and End-to-End Training Workflows
In this tutorial, we explore Equinox, a lightweight and elegant neural network library built on JAX, and show how to […]
A Coding Implementation to Build a Conditional Bayesian Hyperparameter Optimization Pipeline with Hyperopt, TPE, and Early Stopping
In this tutorial, we implement an advanced Bayesian hyperparameter optimization workflow using Hyperopt and the Tree-structured Parzen Estimator (TPE) algorithm. […]
A Coding Implementation on Microsoft’s Phi-4-Mini for Quantized Inference Reasoning Tool Use RAG and LoRA Fine-Tuning
In this tutorial, we build a pipeline on Phi-4-mini to explore how a compact yet highly capable language model can […]
OpenAI Scales Trusted Access for Cyber Defense With GPT-5.4-Cyber: a Fine-Tuned Model Built for Verified Security Defenders
Cybersecurity has always had a dual-use problem: the same technical knowledge that helps defenders find vulnerabilities can also help attackers […]
A Coding Guide to Build a Production-Grade Background Task Processing System Using Huey with SQLite, Scheduling, Retries, Pipelines, and Concurrency Control
In this tutorial, we explore how to build a fully functional background task processing system using Huey directly, without relying […]
OpenAI Launches GPT-Rosalind: Its First Life Sciences AI Model Built to Accelerate Drug Discovery and Genomics Research
Drug discovery is one of the most expensive and time-consuming endeavors in human history. It takes roughly 10 to 15 […]
Building Transformer-Based NQS for Frustrated Spin Systems with NetKet
The intersection of many-body physics and deep learning has opened a new frontier: Neural Quantum States (NQS). While traditional methods […]
A Step-by-Step Coding Tutorial on NVIDIA PhysicsNeMo: Darcy Flow, FNOs, PINNs, Surrogate Models, and Inference Benchmarking
In this tutorial, we implement NVIDIA PhysicsNeMo on Colab and build a practical workflow for physics-informed machine learning. We start […]