How to Create an ML-Focused Newsletter
Learn how to make a newsletter with AI tools The post How to Create an ML-Focused Newsletter appeared first on Towards Data Science.
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AI and machine learning for engineering design
Artificial intelligence optimization offers a host of benefits for mechanical engineers, including faster and more accurate designs and simulations, improved efficiency, reduced development costs through process automation, and enhanced predictive maintenance and quality control. “When people think about mechanical engineering, they’re thinking about basic mechanical tools like hammers and … hardware like cars, robots, cranes, but mechanical engineering is very broad,” says Faez Ahmed, the Doherty Chair in Ocean Utilization and associate professor of mechanical engineering at MIT. “Within mechanical […]
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New algorithms enable efficient machine learning with symmetric data
If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science parlance, the molecule is “symmetric,” meaning the fundamental structure of that molecule remains the same if it undergoes certain transformations, like rotation. If a drug discovery model doesn’t understand symmetry, it could make inaccurate predictions about molecular properties. But despite some empirical […]
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Get an in-depth look at Gemini 3 with CEO Sundar Pichai.
Sundar Pichai sits down with Logan Kilpatrick to discuss Gemini 3 on the Google AI: Release Notes podcast.
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Open borders are incompatible with the welfare state
I’ve seen a lot of people talking about opening the borders, and that would be fine if all those Democrat states didn’t exist. Until anarcho-capitalism is implemented, it’s better to keep the borders closed. submitted by /u/AmirSuS123 [link] [comments]
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Video: the LLM 2.0 Revolution
What if you could build a secure, scalable RAG+LLM system – no GPU, no latency, no hallucinations? In this session, Vincent Granville shares how to engineer high-performance, agentic multi-LLMs from scratch using Python. Learn how to rethink everything from token chunking to sub-LLM selection to create AI systems that are explainable, efficient, and designed for enterprise-scale applications. What you’ll learn: How to build LLM systems without deep neural nets or GPUs Real-time fine-tuning, self-tuning, and context-aware retrieval Best […]
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Understanding XGBoost: A Deep Dive into the Algorithm
Author(s): Utkarsh Mittal Originally published on Towards AI. Introduction XGBoost (Extreme Gradient Boosting) has become the go-to algorithm for winning machine learning competitions and solving real-world prediction problems. But what makes it so powerful? In this comprehensive tutorial, we’ll unpack the mathematical foundations and practical mechanisms that make XGBoost superior to traditional gradient boosting methods. This tutorial assumes you have basic knowledge of decision trees and machine learning concepts. We’ll walk through the algorithm step-by-step with visual examples […]
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Spotify’s new ‘Prompted Playlists’ feature curates highly-personalized playlists for you using AI
Key Highlights: Spotify isn’t shying away from bringing new AI features to its platform. The music-streaming giant has now announced a new feature that gives users more control over the service’s algorithm. Prompted Playlists is an evolved version of Spotify’s AI Playlists Well… that’s how Spotify is positioning the launch of its new “Prompted Playlists” feature. So, what’s new feature all about? Basically, it allows you to describe what you want to hear in a personalized playlist, which […]
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EDA in Public (Part 1): Cleaning and Exploring Sales Data with Pandas
Hey everyone! Welcome to the start of a major data journey that I’m calling “EDA in Public.” For those who know me, I believe the best way to learn anything is to tackle a real-world problem and share the entire messy process — including mistakes, victories, and everything in between. If you’ve been looking to level up […] The post EDA in Public (Part 1): Cleaning and Exploring Sales Data with Pandas appeared first on Towards Data Science.
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When Supply Chains Become Autonomous
A new simulation demonstrates how these might work—and how leadership will need to change to succeed with them.
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