How AI Cuts Costs and Adds Value for Data Science Workflows (Sponsored)
Post Content
Like
0
Liked
Liked
10 (Not So) Hidden Dangers of Age Verification
It’s nearly the end of 2025, and half of the US and the UK now require you to upload your ID or scan your face to watch “sexual content.” A handful of states and Australia now have various requirements to verify your age before you can create a social media account. Age-verification laws may sound straightforward to some: protect young people online by making everyone prove their age. But in reality, these mandates force users into one of […]
Like
0
Liked
Liked
Prompt Compression for LLM Generation Optimization and Cost Reduction
Large language models (LLMs) are mainly trained to generate text responses to user queries or prompts, with complex reasoning under the hood that not only involves language generation by predicting each next token in the output sequence, but also entails a deep understanding of the linguistic patterns surrounding the user input text.
Like
0
Liked
Liked
Method teaches generative AI models to locate personalized objects
Say a person takes their French Bulldog, Bowser, to the dog park. Identifying Bowser as he plays among the other canines is easy for the dog-owner to do while onsite. But if someone wants to use a generative AI model like GPT-5 to monitor their pet while they are at work, the model could fail at this basic task. Vision-language models like GPT-5 often excel at recognizing general objects, like a dog, but they perform poorly at locating […]
Like
0
Liked
Liked
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 […]
Like
0
Liked
Liked
Here’s how researchers in Asia-Pacific are using AlphaFold
Learn more about AlphaFold, Google’s AI system that accurately predicts protein structures.
Like
0
Liked
Liked
Charting the future of AI, from safer answers to faster thinking
Adoption of new tools and technologies occurs when users largely perceive them as reliable, accessible, and an improvement over the available methods and workflows for the cost. Five PhD students from the inaugural class of the MIT-IBM Watson AI Lab Summer Program are utilizing state-of-the-art resources, alleviating AI pain points, and creating new features and capabilities to promote AI usefulness and deployment — from learning when to trust a model that predicts another’s accuracy to more effectively reasoning […]
Like
0
Liked
Liked
NATO Is a Menace, Not a Benefit, to America
submitted by /u/AbolishtheDraft [link] [comments]
Like
0
Liked
Liked
The Machine Learning “Advent Calendar” Day 6: Decision Tree Regressor
During the first days of this Machine Learning Advent Calendar, we explored models based on distances. Today, we switch to a completely different way of learning: Decision Trees. With a simple one-feature dataset, we can see how a tree chooses its first split. The idea is always the same: if humans can guess the split visually, then we can rebuild the logic step by step in Excel. By listing all possible split values and computing the MSE for […]
Like
0
Liked
Liked
How rich people existing and living in a city helps the poor people of that city also
I just got a $15 tip to deliver a $1 soda in a rich neighborhood. This is just one silly example, but rich people, or just wealth in general obviously creates more opportunities and jobs for all of us submitted by /u/Crafty_Jacket668 [link] [comments]
Like
0
Liked
Liked