Figma launches new AI-powered object removal and image extension
Figma is launching a new image editing toolbar to bring all its features in one place.
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A Product Data Scientist’s Take on LinkedIn Games After 500 Days of Play
What a simple puzzle game reveals about experimentation, product thinking, and data science The post A Product Data Scientist’s Take on LinkedIn Games After 500 Days of Play appeared first on Towards Data Science.
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BondingAI Acquires GenAItechLab, Add Core Team Members
BondingAI acquisition of GenAItechLab.com was recently completed, including all the IP related to the xLLM technology, the material published on MLtechniques and the most recent technology pertaining to deep neural networks watermarking. GenAItechLab was founded in 2024 by Vincent Granville, a world-class leader and well-known scientist building innovative and efficient AI solutions from scratch, hallucination-free, without Blackbox or GPU, yet delivering better results faster. Doctor Granville is now Chief AI Architect, co-founder and investor at BondingAI. In the […]
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How to build AI scaling laws for efficient LLM training and budget maximization
When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational and financial budget. Since training a model can amount to millions of dollars, developers need to be judicious with cost-impacting decisions about, for instance, the model architecture, optimizers, and training datasets before committing to a model. To anticipate the quality and accuracy of a large model’s predictions, practitioners often turn to scaling laws: using smaller, cheaper models to try to approximate […]
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3 Subtle Ways Data Leakage Can Ruin Your Models (and How to Prevent It)
Data leakage is an often accidental problem that may happen in machine learning modeling.
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The Machine Learning “Advent Calendar” Day 5: GMM in Excel
This article introduces the Gaussian Mixture Model as a natural extension of k-Means, by improving how distance is measured through variances and the Mahalanobis distance. Instead of assigning points to clusters with hard boundaries, GMM uses probabilities learned through the Expectation–Maximization algorithm – the general form of Lloyd’s method. Using simple Excel formulas, we implement EM step by step in 1D and 2D, and we visualise how the Gaussian curves or ellipses move during training. The means shift, […]
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AI startup Tavus founder says users talk to its AI Santa ‘for hours’ per day
Tavus has launched a new experience where you can chat with an AI Santa that asks personal questions and remembers your interests.
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The Step-by-Step Process of Adding a New Feature to My IOS App with Cursor
Cursor is great at writing code but not as good when it comes to design The post The Step-by-Step Process of Adding a New Feature to My IOS App with Cursor appeared first on Towards Data Science.
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Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI — Clearly Explained
Understanding AI in 2026 — from machine learning to generative models The post Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI — Clearly Explained appeared first on Towards Data Science.
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The Machine Learning “Advent Calendar” Day 13: LASSO and Ridge Regression in Excel
Ridge and Lasso regression are often perceived as more complex versions of linear regression. In reality, the prediction model remains exactly the same. What changes is the training objective. By adding a penalty on the coefficients, regularization forces the model to choose more stable solutions, especially when features are correlated. Implementing Ridge and Lasso step by step in Excel makes this idea explicit: regularization does not add complexity, it adds preference. The post The Machine Learning “Advent Calendar” […]
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