Elena' s AI Blog

AI

Artificial intelligence (AI) refers to systems that learn, reason, and act with increasing autonomy. On this site, the AI tag covers practical developments in models, tools, infrastructure, and real-world constraints — from coding agents and local experimentation to cloud security, power limits, and the economics shaping how AI is built and used.

  AI Python Life Weekly Apps Git chatGPT Blogging TensorFlow ML genAI LLM DL NLP GenAI MAC Preprocessing SEO AI Law AI News AI-Dev CLI Ethics AI Safety Agentic Conda History News PhD Regression Research Series Setup AI Engineering AI Regulation Antigravity Automation CNN Classification Cursor Data Development Tools Fine Tuning Food GitHub IDE Kaggle Mac Mixed Precision OS RS Robots Study Transfer Learning research

Codex CLI Part 2 — Security Controls & Safe Editing


Elena Daehnhardt ·

Learn how Codex CLI balances permissions and approvals to keep you in control. Master essential commands like /diff and /review, understand the three security modes, and make your first safe code edits with full visibility.

The AI Paradox: Lightning Fast and Gridlocked


Elena Daehnhardt ·

This week's signals were about constraints and acceleration at once: AI-assisted cloud attacks, multi-year grid queues in Europe, new infrastructure funds, and consumer GPU pricing pressures — alongside fast adoption of consumer AI apps.

Using AI Code Assistants Safely


Elena Daehnhardt ·

A practical, human guide to using generative code assistants safely — without leaking secrets, breaking trust, or losing control of your work.

Chips, Capex, and Code Risk


Elena Daehnhardt ·

This week’s AI signals were practical rather than flashy: Microsoft’s earnings tied AI to long-term capex, Anthropic pushed export-focused regulation, China approved limited H200 imports, and everyday compute continued to rise. Together, they point to AI becoming infrastructure — budgeted, regulated, and increasingly constrained.

This Week in AI: Regulation Heat, Cloud Bets, and Agentic Shopping


Elena Daehnhardt ·

This week's AI signals clustered around policy pressure, infrastructure bets, and the early rails of agentic commerce.

Getting Started with Codex CLI


Elena Daehnhardt ·

Learn what Codex CLI is, how to install it on Mac, Linux, and Windows, and take your first steps with this AI coding assistant that runs in your terminal.

Signals from the AI Supply Chain


Elena Daehnhardt ·

This week’s AI news wasn’t about new models or flashy demos. Instead, it revealed where AI is becoming real: chip manufacturing at TSMC, AI assistants like Siri, data centre infrastructure, and the early shape of AI-driven commerce.

AI's Week of Limits: Safety, Control, and Real-World Physics


Elena Daehnhardt ·

This week felt quieter but more substantive—France chose sovereignty over scale, Nvidia refocused on inference and deployment, Grok exposed the gap between capability and responsibility, Asian markets showed resilience, and fusion labs demonstrated where AI earns trust through reliability.

As 2025 Closes: AI's Week of Regulation, Infrastructure, and Autonomy


Elena Daehnhardt ·

The final week of 2025 brought three defining moments: China's first rules for emotional AI companions, massive infrastructure consolidation, and Meta's bet on autonomous agents. Here's what these signals mean for 2026.

Hardware Handshakes, Prompt Injection Reality, and AI Beyond the Screen


Elena Daehnhardt ·

This week in AI brought a shift from hype to engineering reality. Hollywood’s quality limits, a $20B Nvidia–Groq hardware deal, OpenAI’s prompt injection admission, better context for AI coding, and conversational AI moving into physical spaces.

AI Interfaces, Safety, and Multimodal Systems


Elena Daehnhardt ·

This week, several AI developments caught my attention. Not because they were flashy, but because they touched on issues that matter once AI systems leave demos and meet real users: safety defaults, speed under real constraints, and interfaces that adapt instead of overwhelm.

Antigravity 1.11.9 vs Cursor 2.1.42 (Universal): A Practical Comparison


Elena Daehnhardt ·

A detailed comparison between Google’s Antigravity 1.11.9 and Cursor 2.1.42, focusing on how each IDE reimagines AI-assisted coding. Includes links to documentation and real feature pages.

Labs, Law and New Hardware Horizons


Elena Daehnhardt ·

This week brought real developments in AI infrastructure: DeepMind prepares its first automated materials science lab in the UK, OpenAI finalises prototypes of a new ambient device, and 42 state attorneys general demand stronger safeguards for chatbots. Plus a $20 billion AI infrastructure venture and new findings on where AI matches human specialists.

A Short Tale of Bravery (at the Dentist)


Elena Daehnhardt ·

A personal story about facing the drill, followed by a researched look at how AI and robotics are quietly becoming the dentist's ultimate co-pilot.

AGI Timelines, 3D Vision, and the Reality of AI Scams


Elena Daehnhardt ·

The U.S. government moves to operationalise AI, DeepMind sets an AGI deadline, and a terrifying scam in Kansas serves as a wake-up call for personal security.

A Journey Through AI and Code


Elena Daehnhardt ·

Another year has passed, and Elena's AI Blog is now four years old! This year brought exciting developments in AI, from multimodal systems to agentic workflows, and I've been here documenting it all. Join me as I reflect on what we've explored together since December 2024.

The New Skill Stack, from Writing Code to Managing Intelligence


Elena Daehnhardt ·

A simple guide to the new era of coding: less bricklaying, more architecture. What changes, what stays, and the surprising human skills that now matter more.

Claude Opus, ChatGPT Shopping, EV Forecasting and DeepSeekMath-V2


Elena Daehnhardt ·

A warm and simple walk through this week’s most meaningful AI shifts—from coding models to shopping helpers, EV predictions, and a new open-source system that checks its own maths.

Ethics, Gravity, and the Future We're Actually Building


Elena Daehnhardt ·

Google just killed the text editor with 'Antigravity,' while the WHO demanded humanity 'hold the pen.' From agentic workflows to the energy cost of reasoning, here is why this week marked the end of the AI Wild West.

Ethics, Code, Chips, and a Petaflop on Your Desk


Elena Daehnhardt ·

This week AI highlights include the Vatican's thoughts on human dignity, the fact that only 9% of developers trust AI-generated code, MIT's new software model for large language models, NVIDIA's petaflop-capable workstation, VUNO's profitable medical AI, Meta's automatic speech recognition for over 1,600 languages, and a new AI-assisted chip design tool. This week showcases the connections between ethics, coding, hardware, and humanity.

Could AI Become a New Religion?


Elena Daehnhardt ·

A gentle exploration of how the Church once resisted scientific novelty—from banned books to the Galileo affair—and how it now engages with artificial intelligence as a partner in ethical reflection. This post looks at whether AI could become a “new religion,” why some people might treat it that way, why it cannot truly be one, and what history teaches us about our relationship with powerful new ideas. It ends with a hopeful vision: kindness, humanity and shared dignity as the guiding beliefs we choose for the future we build together.

Apache-Licensed Summarizers


Elena Daehnhardt ·

Looking for summarisation models you can safely use in your app or blog? Here's a friendly tour of Apache-licensed transformer models that actually summarise well — and don't break your licence policy.

AI Weekly — Agents Grow Up, Clouds Get Bigger


Elena Daehnhardt ·

This week: OpenAI books a mountain of AWS compute, Google ships production tooling for agents, GitHub adds org-wide steering for Copilot, VS Code unifies agent experiences, and OpenAI previews an autonomous security researcher.

A few thoughts on Cursor 2.0


Elena Daehnhardt ·

Cursor 2.0 introduces its own **Composer model**, a new autonomous agent workflow, and security via the **Sandboxed Terminal**. Read this blog post to see if this shift to agent-led development is right for you.

AI Infrastructure, Small Models, and Multi-Agent Coding


Elena Daehnhardt ·

NVIDIA builds massive supercomputers, IBM releases open small models, and GitHub turns coding into a team sport for AI agents. Three quiet shifts reshaping how we build and think.

Quantum Thinking, Light Models, Living Networks


Elena Daehnhardt ·

This week AI quietly scored wins: quantum leaps, lightweight models, and network automation. What they mean for coders, curious minds, and everyday life.

LoRA fine-tuning wins


Elena Daehnhardt ·

You don't need to retrain entire language models anymore. LoRA lets you teach new tricks with tiny adapters—fast training, small files, and swappable skills.

AI Honesty, Agents, and the Fight for Truth


Elena Daehnhardt ·

Chatbots must tell you they're AI, your computer just got a mind of its own, and publishers are fighting to protect truth. Three stories that matter for everyone.

Safety, Agents, and Compute


Elena Daehnhardt ·

Three major AI announcements dropped this week that actually matter. Google taught agents to use computers like humans do. DeepMind built a security agent that finds and patches vulnerabilities automatically. OpenAI and AMD committed 6 gigawatts of compute capacity. No hype—just the practical shifts that change how we build software.

Cursor Made Me Do It


Elena Daehnhardt ·

AI makes coding feel like magic — until your ‘tiny app’ turns into a monster. Here’s how to enjoy the creative flow without losing control.

AI Got Rules, Wheels & a Lab Coat


Elena Daehnhardt ·

AI just got new safety rules, Europe is steering into autonomous roads, and MIT taught models some physics. Busy week.

AI’s Busy Week


Elena Daehnhardt ·

From Britain’s sovereign AI push to coding models that think like engineers, this week’s breakthroughs show AI growing brains, memory, and initiative — plus some long-overdue policy wins.

Gemini CLI versus Claude CLI


Elena Daehnhardt ·

This blog post is about Gemini CLI and Claude CLI, their installation, usage, privacy, and effectiveness — with some ideas to help you choose the right AI tool for your terminal.

AI this week


Elena Daehnhardt ·

ChatGPT goes mainstream with 700M weekly users, Google finds a cure for hallucinations, GPT-5 Codex rewrites your code, textbooks finally get personal, and AR learns when to keep quiet.

Vibe Coding with Cursor AI


Elena Daehnhardt ·

Testing Cursor AI in Agent Mode feels like coding with a slightly eccentric but eager partner. Friendly, fast, sometimes forgetful — here’s how GPT-5, Auto mode, and grok-code-fast stack up, with real specs.

AI weekly news


Elena Daehnhardt ·

This week in AI: leaner models beating the giants, Google rewriting the speed–accuracy trade-off, AI that codes for scientists, smarter DNA design, and OpenAI trying to tame the AI job market.

AI weekly


Elena Daehnhardt ·

We have picked up new AI happenings this week: GRPO for smarter training, reasoning models that cut the nonsense, entry-level jobs under pressure, Nano Banana stealing the image crown, and GPT-5 hacks unlocking hidden power.

How to Create a Weekly Menu with ChatGPT-5


Elena Daehnhardt ·

This week, I let ChatGPT-5 into my kitchen. The result? A complete weekly meal plan for two people, tailored macros, batch-cooking flows, fridge-friendly PDFs, and even a laminated checklist with tick boxes.

AI weekly wins


Elena Daehnhardt ·

This week, AI became cheaper, more natural, and a lot more practical. Oxford’s new optimiser slashes training bills by 80%, OpenAI’s voice system talks like a real human, and Google’s ‘Nano Banana’ image model quietly outshines the big players. Somewhere between a notebook for AI memory and hybrid reasoning for everyone, the field is shifting from expensive experiments to everyday tools.

Who Did the AI Learn From?


Elena Daehnhardt ·

Large language models learn like Rembrandt's students once did — by studying the masters. But unlike the studio, their sources are hidden. Should AI be more transparent about who it learned from?

This week in AI


Elena Daehnhardt ·

This week’s AI breakthroughs make the technology feel less like distant research and more like practical tools. From open-source giants and real-time voice recognition to edge creativity, workplace automation, and smarter data reasoning — here are five updates worth your attention.

This week in AI


Elena Daehnhardt ·

From Europe’s multilingual AI surge to Google’s ultra-efficient Gemma model, Meta’s self-supervised vision leap, and new tools reshaping AI safety and testing — here are the top AI developments this week.

Workflow Automation with n8n


Elena Daehnhardt ·

Let me share how n8n workflow automation changed my blogging life. This guide covers installation, setup, database configuration, AI chatbot creation, and real-world templates to make your content creation smoother - no coding headaches included.

Will SaaS Survive?


Elena Daehnhardt ·

SaaS isn't dying—it's evolving. AI is disrupting traditional workflows and pricing models, but innovative companies are adapting by becoming infrastructure layers, owning domain expertise, and focusing on outcomes rather than interfaces.

This week in AI


Elena Daehnhardt ·

This week in AI saw groundbreaking releases from industry giants. OpenAI unveiled GPT-5 along with open-source GPT-OS-120b and 20b, making high-end AI accessible from laptops to phones. Google introduced DeepPolisher for genome error correction and Genie 3 for creating interactive virtual worlds. Alibaba launched GSPO powering Qwen3, plus Qwen-Image for free text-to-image generation. Anthropic rolled out Persona Vectors for consistent AI personalities. New mobile-ready AI models and coding assistants rounded out a week that made AI faster, more open, and more integrated into everyday tech.

Self-critical AI


Elena Daehnhardt ·

In this post, I write about my little experiment on self-reflection while creating content that resembles my writing style using a few AI chatbots. I have started with Gemini and gave the same task to chatGPT and Claude. Did they pass my little misleading test? Let's see.

Vibe coding with Generative AI


Elena Daehnhardt ·

I've been getting into "vibe coding" recently, quickly prototyping some of my ideas, and working on my pet projects. I must confess that the AI-assisted coding is a very addictive activity, and must be taken with caution since it has some security implications and requires a careful prompts engineering.

How to Use Claude AI


Elena Daehnhardt ·

What is Claude AI? What can we do with it, and how? Let's explore this fantastic AI assistant by Anthropic.

How CustomGPT Mitigates AI Hallucinations


Elena Daehnhardt ·

CustomGPT reduces AI errors using specialised knowledge, quality data, and user feedback. Along with RAG, it provides accurate and reliable content for various applications.

Is DeepSeek R1 Secure?


Elena Daehnhardt ·

There is a big question about DeepSeek's security (and also the security of any software product, in fact), safety, and legal usage outside of China. I am sharing my opinion and some relevant links on this topic.

DeepSeek R1 With Ollama


Elena Daehnhardt ·

This post explores the use of Ollama, a state-of-the-art language modelling framework, in conjunction with pre-trained models such as DeepSeek R1.

AI in 2024


Elena Daehnhardt ·

As 2025 approaches, let's reflect on 2024's key AI advancements, including specialized models, growth in AI creativity, and the introduction of the AI Act. Here are my thoughts on the notable events.

Multimodal AI


Elena Daehnhardt ·

Multimodal AI is rapidly evolving, pushing the boundaries of what machines can understand and achieve by combining information from multiple modalities like text, images, audio, and video. This post explores the core techniques of realising multimodal AI, existing systems and related research.

Celebrate Halloween with AI


Elena Daehnhardt ·

Halloween, celebrated on October 31, has its roots in ancient Celtic rituals. Halloween allows us to unleash our creativity by crafting spooky costumes and decorations. In this post, I will suggest several ways to celebrate Halloween with the help of AI. AI can provide eerie sound effects, assist in costume design, offer voice modification features, and present fun filters for your face. Enjoy the celebration!

Combining Retrieval and Generation in RAG


Elena Daehnhardt ·

Let's talk about retrieval-augmented generation (RAG) - an advanced AI technique that enhances generative models with retrieval mechanisms. We'll cover RAG architecture, applications, benefits, challenges, best practices, and current research opportunities.

Narrow AI, General AI, Superintelligence, and The Real Intelligence


Elena Daehnhardt ·

I discuss the main AI types in this post. I share my understanding of the possibility of general intelligence in the future.

ARC-AGI benchmark and a hefty prize


Elena Daehnhardt ·

I am sharing information about the recent Kaggle competition launch, which focuses on advancing general intelligence.

Sending Emails with Python and receiving your messages


Elena Daehnhardt ·

In this post, I will describe two main methods for sending emails using Google and Python. You won't need to use third-party applications. I use some of these code blocks to send my subscription emails. I will also share my setup for effortlessly getting your emails on this GitHub static website.

Can AI hallucinate?


Elena Daehnhardt ·

AI hallucinations are a critical phenomenon in AI, referring to instances where AI systems generate inaccurate or nonsensical information. This post explores the main causes of AI hallucinations, their implications, possible benefits, and existing solutions.

To cite or perish


Elena Daehnhardt ·

Proper citation is a must to maintain academic and ethical integrity. It is a valuable skill that promotes respect for other people, creates a chain of arguments paramount in research and science, and protects one's life efforts in the future. Herein, I write my approach to citation. This might be useful for my student readers.

Robots and True Love


Elena Daehnhardt ·

In this post, I write about robots and their creation challenges in real-life tasks, research areas, safety and ethical considerations, and future aspirations. I also briefly refer to a few starting points for creating robots with Raspberry Pi and Python.

Virtual Presenters (AI Avatars in-depth)


Elena Daehnhardt ·

AI avatars are computer-generated representations of humans, increasingly used in many applications such as education, marketing and entertainment. Synthesia and similar AI tools create impressive avatars. In this post, I write about my favorite AI applications for creating avatars, and also create my avatars with a simple Python script.

Super-girls don't cry in face-swaps


Elena Daehnhardt ·

This post covers simple ways to create face swaps, including coding and AI tools such as InsightFace. It also includes links to relevant research papers and GitHub repositories. We will also do easy Python coding for face detection and face swaps.

Podcast: How can we build trust and safety around AI?


Elena Daehnhardt ·

Lawyer Cláudia Lima Costa is an expert in Artificial Intelligence and has created an amazing podcast that raises pertinent questions about trust and safety in AI systems. I was fortunate enough to be invited to a relaxed discussion where I shared my views on various topics related to AI, such as AI evolution, AI applications, data sources for training models, copyright, data protection, privacy-preserving techniques, and achieving reliable, explainable, safe, and helpful AI.

Explainable AI is possible


Elena Daehnhardt ·

The complexity of AI, particularly deep learning models, has led to the "black box" criticism, highlighting the lack of understanding about how deep learning models arrive at their decisions. While there's truth to this concern, having a nuanced view is important. In this post, I share my view on AI explainability, that it is complex, however possible.

OpenAI's Model Show-off


Elena Daehnhardt ·

OpenAI's GPT models are highly sophisticated machine learning models that are used in various fields such as natural language processing, coding assistance, and content creation. OpenAI's newest video-generating model, Sora, sets a new benchmark in video generation technology, which I quickly explore in this post.

chatGPT and Friends


Elena Daehnhardt ·

ChatGPT is a powerful language model that has revolutionised the way we interact with technology. This post explores ChatGPT and its alternatives, delving into their capabilities, applications, and ethical considerations.

AI Synthesised Voices


Elena Daehnhardt ·

In this post, I discuss voice synthesis and cloning, and mention fantastic AI tools and APIs for creating high-quality human-like voices from text or for automatic voice dubbing.

Living with AI in Pursuit of Happiness


Elena Daehnhardt ·

This blog is not about coding or AI; it is about living with AI in human society, striving for happiness and building on technological advances.

Blog Writing with AI in MindStudio


Elena Daehnhardt ·

BlogGenie created a draft of this post at YouAI (MindStudio) and aims to demonstrate how AI writing assistants can streamline the blog generation process. It focuses specifically on leveraging YouAI for overall framing and BlogGenie for on-page SEO best practices. This allows for creating initial drafts in seconds rather than hours. You still have to edit and correct an outline to finalise your post.

Creating Websites with AI on Mixo.io


Elena Daehnhardt ·

Have you ever wished for a website that writes itself? This dream is now a reality thanks to the advancement in Artificial Intelligence (AI). With Mixo.io, you can create stunning websites using AI technology--in minutes! In this blog post, we will explore website creation with Mixo.io.

Machine-Learning Process


Elena Daehnhardt ·

The machine learning process involves a series of steps and activities designed to develop and deploy machine learning models to solve specific problems or make predictions. To simplify, we create programs that take in data and produce desired results in machine learning. There are several stages in the machine-learning process that we briefly describe in this post.

Why AI will never void humanity?


Elena Daehnhardt ·

Why AI will never void humanity? What AI wants badly? I was thinking about these questions while travelling. I will share my initial thoughts with you, my dear reader.

Generate Music with AI


Elena Daehnhardt ·

In this post, we will get into music generation with AI. We will briefly explore existing AI applications generating audio. We will explore transformer usage while coding music generation with HuggingFace transformers in Python.

A Warm August and Vacation


Elena Daehnhardt ·

In this post, I write about what's happening in my life. August 2023 is quite warm, and I have decided to have a short vacation, which is much needed since I am preparing a surprise for you, my dear reader.

AI-Free Website Design


Elena Daehnhardt ·

In this post, I write about my efforts in creating CSS and HTML pages for my website with chatGPT and why I ended up doing it myself while learning from the bot, Google Search, CodePen and w3schools.

GPT Implications for Coding


Elena Daehnhardt ·

The AI evolution has implications for programming and programmer jobs. GPT usage allows for quicker product releases and a focus on user requirements. However, low-coding jobs could be delegated to AI, new skills for AI-assisted programming be required or access to sophisticated models only available to some. The new coding age is upon us. In this blog post, I highlight the opportunities and challenges of AI-assisted code generation and share my experiences using chatGPT.

Mastering Midjourney Prompts for Stunning Images


Elena Daehnhardt ·

In this post, I write about creating stunning designs in Midjourney. We create AI-generated designs for an ice cream cafe. In the end, I list all prompts and handy keywords to take away for your fantastic own creations.

The Magic of AI Tools


Elena Daehnhardt ·

In this post, I list some of my favorite AI applications for productivity and fun.

The Remarkable Evolution and Milestones of AI


Elena Daehnhardt ·

In this post, I outline the AI evolution and its most prominent milestones with chatGPT and Midjourney.

From Dutch Golden Age to AI Art: A Journey with Vermeer and AI


Elena Daehnhardt ·

In this post, I collaborated with ChatGPT to explore the captivating World of Dutch art and Johannes Vermeer. As an art critic and historian, ChatGPT provides fascinating insights into Vermeer's masterpieces and the historical events that influenced them. I also share my emotional experience of visiting a Vermeer art exhibition, and we'll have some fun creating AI art with Jasper.ai, DALL-E, Stable Diffusion Playground and Midjourney bot. Take advantage of my tips for refining ChatGPT's output and the prompts I used to get the best results. Join me on this adventure and discover the beauty of Dutch art and AI-art outcomes!

The Most Useful AI-Content and Plagiarism Detection Tools


Elena Daehnhardt ·

With the development of AI-content generators such as chatGPT, we have a new need to identify such content, and the tools of AI-content detection are currently being developed. Writing assistants and plagiarism detection tools also include AI-content detection. In this post, I talk about the most visible AI tools that help us mitigate plagiarism and motivate us to create original and well-written content. Indeed, I will start with the definition of plagiarism, why it's terrible, and move quickly into helpful tools in AI-content and plagiarism detection that are available today.

Machine Learning Tests using the Titanic dataset


Elena Daehnhardt ·

In this post, we created and evaluated several machine-learning models using the Titanic Dataset. We have compared the performance of the Logistic Regression, Decision Tree and Random Forest from Python's library scikit-learn and a Neural Network created with TensorFlow. The Random Forest Performed the best!

Python coding with chatGPT


Elena Daehnhardt ·

In this post, I did some Python coding with chatGPT. We have coded a neuron, a simple neural network, and learned how to train it. I am pleased with the result. I think that chatGPT has excellent potential for CS students and all coders that want to update their skills effectively. Is it an end of the StackOverflow? We cannot see the feature. However, we still need social interaction with humans, and AI cannot substitute human communication.

Happy New Year!


Elena Daehnhardt ·

My best wishes for 2023! I wish you happiness, health, and excellent luck in the New Year! Let your best wishes come true, and your professional goals are achieved with success!

chatGPT Wrote me a Christmas Poem


Elena Daehnhardt ·

In this post, I shared my thoughts on chatGPT, its technology, and its possible societal implications. I also asked it to write a Christmas poem for me, which was pretty good!

AI Evolution to 2025


Elena Daehnhardt ·

This post traces the long, surprising road from the first mathematical neuron in 1943 to today’s generative AI everywhere in 2025. It highlights landmark moments—Turing’s question, Dartmouth’s birth of “AI,” the perceptron, Shakey, Deep Blue, AlexNet, AlphaGo, transformers, GPT-3, diffusion models—and shows how each breakthrough pushed machines closer to human-level creativity, language, and perception. Alongside the wins come hard questions about trust, ethics, and energy.

TensorFlow: Transfer Learning (Feature Extraction) in Image Classification


Elena Daehnhardt ·

Image classification is a complex task. However, we can approach the problem while reusing state-of-the-art pre-trained models. Using previously learned patterns from other models is named "Transfer Learning." This way, we can efficiently apply well-tested models, potentially leading to excellent performance.

Artificial Neural Networks


Elena Daehnhardt ·

Artificial neural networks (ANNs) are the cornerstone of Deep Learning algorithms. The name and the architecture are adopted from the human brain's neural network. ANNs are designed to simulate human reasoning based on how neurons communicate. ANNs contain a set of artificial neurons connected.

Deep Learning vs Machine Learning


Elena Daehnhardt ·

Artificial Intelligence (AI) is a field of computer science. AI provides methods and algorithms to mimic human intelligence, reasoning, and decision-making and provide insights, which businesses could use in research or industry to build new exciting and innovative products or services. Machine Learning (ML) is a subset of AI with algorithms that learn from data. In this post, we sort out the differences between AI and ML.

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