President Javier Milei’s clear victory on Sunday, October 26, over the opposition in the midterm elections, where he obtained almost 41% of the vote to 31% of the Peronists, was greeted with market euphoria.
A detailed walkthrough of the YOLOv1 architecture and its PyTorch implementation from scratch The post YOLOv1 Paper Walkthrough: The Day YOLO First Saw the World appeared first on Towards Data Science.
Introduction How do we identify latent groups of patients in a large cohort? How can we find similarities among patients that go beyond the well-known comorbidity clusters associated with specific diseases? And more importantly, how can we extract quantitative signals that can be analyzed, compared, and reused across different clinical scenarios? The information associated to […] The post Spectral Community Detection in Clinical Knowledge Graphs appeared first on Towards Data Science.
Author(s): Manash Pratim Originally published on Towards AI. I Built an AI That Understands My Team’s Emotions From Our Commits and Messages I built an AI that analyzes commits, PR reviews, and Slack messages to detect emotional drift and burnout in engineering teams. Using vector-drift embeddings and a fine-tuned LLaMA model, it learned to read the subtext beneath our communication and the results shocked me. Image generated using AIThe article discusses the creation of an AI designed to […]
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Flyin’ Like a Lion on Intel Xeon The post Optimizing PyTorch Model Inference on CPU appeared first on Towards Data Science.
To make large language models (LLMs) more accurate when answering harder questions, researchers can let the model spend more time thinking about potential solutions. But common approaches that give LLMs this capability set a fixed computational budget for every problem, regardless of how complex it is. This means the LLM might waste computational resources on simpler questions or be unable to tackle intricate problems that require more reasoning. To address this, MIT researchers developed a smarter way to allocate […]
From idea to impact : using AI as your accelerating copilot The post How to Develop AI-Powered Solutions, Accelerated by AI appeared first on Towards Data Science.
Author(s): Carlos Eduardo Favini Originally published on Towards AI. By Carlos Eduardo Favini Industrial AI — Image by Author 1. The Semantic Ceiling: Why Industrial AI Stalls After two decades of investment, roughly 70% of digital transformation initiatives fail to scale beyond pilot stages (McKinsey, 2023). Industry 4.0 delivered connectivity — sensors, networks, data lakes — but not cognition. The result: dashboards that monitor but don’t decide, models that predict but don’t understand, and automation that breaks when […]
California’s recent wildfires were fought by over 780 inmate firefighters who received rigorous taxpayer-funded training. But until recent reforms, many of these trained firefighters faced insurmountable barriers to employment after release—state licensing laws blocked them from the very careers they’d prepared for. lead , Cato scholar Stephen Slivinski examines this issue in a new Washington Post opinion piece, revealing how occupational licensing laws create employment barriers for 70 million Americans with criminal records. The evidence is clear: employment is […]