Results for “ai”
17 articles
AI & MLGoogle's I/O 2026 bet: don't win the model race, own the rails agents run on.
Gemini 3.5 was the headline; the strategy was everything around it — Antigravity, Managed Agents, and WebMCP. Google isn’t racing to the best model. It’s making sure agents run on its browser, OS, and cloud.
DevOpsAI writes most of the code now. Socket just raised $60M on the part nobody reviews.
Socket hit a $1B valuation selling supply-chain security to the same AI labs flooding the supply chain. When generation gets free, verification gets valuable — the fight is over who owns the door.
ProgrammingServiceNow isn't fighting Cursor and Copilot. It's selling the layer above them.
ServiceNow made its Build Agent run inside every major AI coding tool. The bet: the coding agent is a commodity, so the moat moves to context and governance — who controls what ships.
AI & MLsiliXon wants you to design circuit boards by describing them. It just raised $1.5M.
A UK startup co-founded by Romanian engineer Mihai Mesteru turns a sentence into a production-ready PCB. The pre-seed is in; the hard part is whether the boards actually work.
Virtual Reality in the Workplace
Virtual Reality in the Workplace Virtual Reality (VR) has long been associated with gaming and entertainment. But in recent years, a quiet revolution has been taking place in offices, factories, and…
Cybersecurity in 2026
Cybersecurity in 2026 Cybersecurity in 2026 is defined by a paradox: technology has never been more powerful, and the threats against it have never been more sophisticated. From AI-powered attacks to…
Blockchain Beyond Cryptocurrency
Blockchain Beyond Cryptocurrency When most people hear the word "blockchain," they think of Bitcoin, Ethereum, and the wild price swings of cryptocurrency. But the underlying technology — a…
Monitoring and Observability: Building Confidence in Production
Monitoring vs. Observability Monitoring and observability are related but distinct concepts. Monitoring is about checking known metrics against predefined thresholds — is the CPU above 90%? Is the…
Kubernetes Deep Dive: Architecture, Pods, and Beyond
Why Kubernetes? Kubernetes (K8s) automates the deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy…
DevOpsDocker for Beginners: Your First Steps into Containerization
What is Docker? Docker is an open-source platform that packages applications and their dependencies into lightweight, portable containers. Think of a container as a self-contained unit that runs the…
DesignDesigning for Dark Mode: A Complete Guide
Designing for Dark Mode: A Complete Guide Dark mode has evolved from a trendy feature to an expected standard. Users demand it, and when implemented well, it reduces eye strain and saves battery on…
CareerHow to Prepare for Technical Interviews
How to Prepare for Technical Interviews Technical interviews remain one of the biggest hurdles in the software engineering job search. They test a combination of problem-solving ability, coding…
AI & MLNatural Language Processing Basics
What Is NLP? Natural Language Processing (NLP) is the field of AI focused on enabling computers to understand, interpret, and generate human language. From search engines and virtual assistants to…
AI & MLGetting Started with Hugging Face
The Hub for Open-Source AI Hugging Face has become the go-to platform for sharing, discovering, and using pre-trained machine learning models. Their Transformers library makes it possible to use…
AI & MLEthical Considerations in AI
The Responsibility Behind the Algorithm As AI systems become more powerful and pervasive, the ethical questions surrounding them have moved from philosophical debates to urgent practical concerns.…
AI & MLBuilding Your First Neural Network
From Perceptrons to Deep Networks Neural networks mimic the structure of the human brain — interconnected nodes (neurons) that pass signals to one another. Despite the biological metaphor, they are…
AI & MLAI in Production: Challenges and Best Practices
From Notebook to Production Training a model in a Jupyter notebook is one thing. Deploying it reliably in production is another. The gap between experimentation and production is where many AI…