Labeling Cells with napari and Python: A Step-by-Step Guide for BioImage Analysis
Author(s): MicroBioscopicData (by Alexandros Athanasopoulos) Originally published on Towards AI. In this tutorial, we will go through a step-by-step guide on how to label cells using napari, an interactive multi-dimensional image viewer for Python, ideal for microscopy data. This hands-on guide is …
Integrating AI and Web3: Value Creation in the Data Age
Author(s): Harriet Gaywood Originally published on Towards AI. Integrating AI and Web3: Value Creation in the Data Age Perspectives from Meitu's former Chairman, Mike Cai Mike Cai, former Chairman of Meitu talks about AI and Web3. Source: BEYOND Expo. What is Web3 …
Integrating AI and Web3: Value Creation in the Data Age
Author(s): Harriet Gaywood Originally published on Towards AI. Integrating AI and Web3: Value Creation in the Data Age Perspectives from Meitu's former Chairman, Mike Cai Mike Cai, former Chairman of Meitu talks about AI and Web3. Source: BEYOND Expo. What is Web3 …
Proximal Policy Optimization in Action: Real-Time Pricing with Trust-Region Learning
Author(s): Shenggang Li Originally published on Towards AI. Photo by Tesa Kimbal on Unsplash Introduction Every time a customer opens an app or website, the platform must set a surcharge in milliseconds to balance rider supply, demand spikes, and weather. Simple if-then …
Why Your Data Lake Needs BLM, Not LLM
Author(s): MKWriteshere Originally published on Towards AI. “Your data lake investment became a ‘cesspool’ the moment you tried solving structured data problems with text-generating AI.” — Bill Inmon Image Generated by Author Using Gpt-4o (Non-Member Link) Your $15+ billion data lake investment …
How to Build Bulletproof Data Pipelines with PySpark That Actually Scale
Author(s): Yuval Mehta Originally published on Towards AI. Photo by Claudio Schwarz on Unsplash We’re past the era when a CSV, a Pandas DataFrame, and a single machine could handle everything you threw at them. Data is heavier now. It arrives fast, …
How to Augment Wildfire Datasets with Historical Weather Data using Python and Google Earth Engine
Author(s): Ruiz Rivera Originally published on Towards AI. Photo by Tim Mossholder on Unsplash Picture this: You’re a data scientist working with wildfire data, and all you have are basic fire records — location coordinates, timestamps, and maybe a unique fire ID. …
The Best Optimization Algorithm for Your Neural Network
Author(s): Riccardo Andreoni Originally published on Towards AI. How to choose it and minimize your neural network training time.Image source: unsplash.com. Developing any machine learning model involves a rigorous experimental process that follows the idea-experiment-evaluation cycle. Image by the author. The above …
We’re Running Out of Data to Feed Our AI
Author(s): Ole Schildt Originally published on Towards AI. AI’s relentless scaling is about to hit the limit. We’re running out of human data and AI can’t just train itself.Fig. 1 created by the author with AI (Gemini) Have you felt it too? …
MIT just published the First Brain Scan Study of ChatGPT Users & the Results are Terrifying
Author(s): Youssef Hosni Originally published on Towards AI. AI isn’t making us more productive; it’s making us cognitively bankrupt We live in an age of unprecedented technological assistance. Tools like ChatGPT can draft emails, write code, and brainstorm ideas in seconds. This …
Building an AI-Powered Smart Travel Planner with Multi-Agent AI and LangGraph
Author(s): Vikram Bhat Originally published on Towards AI. Image generated using napkin.ai In today’s rapidly evolving AI landscape, the ability to synthesize diverse information into personalized, actionable travel plans is more valuable than ever. Whether it’s a spontaneous weekend escape or a …
Part 1: Preprocessing MIMIC-IV for Readmission Prediction
Author(s): Marie Humbert-Droz, PhD Originally published on Towards AI. Kicking off a hands-on series on building explainable AI models for healthcareImage generated with ChatGPT In my last series, we tackled a critical question: How do we detect hallucinations in large language models …
Don’t Fine-Tune That Model Yet: What I Wish I Knew Before Starting with LLMs
Author(s): Prisca Ekhaeyemhe Originally published on Towards AI. A practical guide to choosing between prompting, RAG, and fine-tuning from someone who learned the hard way.Photo by Yichen Wang on Unsplash This year, I’ve spent a lot of time learning about Large Language …
6 Data Science Books That Transformed My Career (And Will Change Yours Too)
Author(s): Arunn Thevapalan Originally published on Towards AI. Stop overthinking your learning path — these are the books that actually matter.Photo by micheile henderson on Unsplash “There are plenty of resources, and I’m confused if I’m on the right path. Could you …
Why Andrej Karpathy Says Software 3.0 is eating 1.0 and 2.0
Author(s): MKWriteshere Originally published on Towards AI. The Tesla AI architect predicts Software 3.0 will replace most code you write today Andrej Karpathy Says Plain English Is the New Programming Language Image Generated by Author using Gpt-4o You spend hours debugging syntax …
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