Technology writer
Nihal Singh is a technology writer at TechAmerica.ai covering artificial intelligence, software, startups, cybersecurity, computing, and emerging technologies. With a strong technical background, he focuses on the systems and technologies behind the products, companies, and developments he reports on. His interests include machine learning, software development, developer tools, infrastructure, automation, APIs, and security. Nihal has hands-on experience with technologies including Python, PyTorch, Hugging Face, BERT, FastAPI, SQL, Docker, and the OpenAI API. That practical experience gives him useful context when evaluating new software, AI tools, technical platforms, and industry developments. His writing is focused on making complex technology easier to understand without oversimplifying it. At TechAmerica.ai, he aims to explain what a technology does, how it works, and why it matters to readers following the fast-moving technology industry.
84 articles · page 5 of 7 · showing 49 to 60
Claude responses now contain an invisible statistical signal designed to identify AI-generated text. Learn how Anthropic’s watermarking works, what it detects, and its limitations.
Learn how a small language model works from scratch, from tokenisation and embeddings to attention, training, generation, and the transformer architecture.
OpenAI says an AI system has produced a 166-page proof addressing the Navier-Stokes existence and smoothness problem, one of the seven Millennium Prize Problems. Explore the claimed…
GPT-6 Astra and Claude Fable 5.1 represent the next generation of frontier AI models. This comparison explores their capabilities, benchmarks, coding performance, agentic workflows…
Learn how to write powerful AI image prompts that create realistic, cinematic, and high-quality images. Understand prompt structure, styles, lighting, composition, negative prompts, and…
Discover the top 10 emerging technology skills shaping the future, from AI literacy and Python programming to cloud computing, cybersecurity, machine learning, and AI agent development.
A complete guide explaining why Python became the dominant programming language for artificial intelligence, machine learning, data science, automation, and modern software development.
A complete beginner-friendly guide to quantum computing, explaining how qubits, superposition, entanglement, and quantum algorithms could transform computing, cybersecurity, medicine, and…
Learn what data science is, how it transforms raw data into useful insights, and how businesses use analytics, statistics, and machine learning to make smarter decisions.
Learn what cloud computing is, how data centres, cloud platforms, and internet infrastructure work, and why services like AI, streaming, and online applications depend on the cloud.
Discover how artificial intelligence is transforming cybersecurity, from AI-powered attacks and deepfakes to automated threat detection, defence systems, and the future of online security.
Learn what machine learning is, how AI systems learn from data, the types of machine learning, neural networks, deep learning, and why ML powers modern artificial intelligence.
Written by the reporters who cover each beat. Unsubscribe in one click.
