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Five Key AI and Data Science Trends Shaping Enterprise Adoption in 2026

AI experts Thomas H. Davenport and Randy Bean outline five key trends in AI and data science for 2026, focusing on the shift from the AI hype bubble to GenAI becoming a practical organizational tool. The article provides data-driven insights and expert advice for leaders navigati

Insighttechnologybusinessdata science

sloanreview.mit.edu·Tech by Flipboard·2d ago·3 min read

Quantifying Friendship: What 1.2 Million Messages Reveal About Connection and Decay

Insighttechnologypersonalrelationships

drobinin.com4d ago

Epicure: Multilingual Ingredient Embeddings from 4.14M Recipes Using Skip-Gram and Metapath2Vec

Insighttechnologysciencefood

arxiv.org4d ago

PhD intern Sam Moix on drug target prioritisation and reproducible research at Open Targets

educationsciencedata science

Shared by @embo.org on Bluesky ↗

blog.opentargets.org4d ago

NumExpr: A Fast Numerical Array Expression Evaluator for Python and NumPy

Codetechnologyprogrammingopen source

github.com12d ago

Nairobi OS: A Rust-Based Distributed Data Science Infrastructure for Resource-Constrained Environments

Codetechnologyprogrammingdata science

github.com13d ago

ICLR 2026 Affiliation Dataset: PDF-derived institutional data for 5,356 accepted papers with treemap visualizations

Codetechnologyeducationdata science

github.com17d ago

Think Linear Algebra: A Code-First, Case-Based Introduction to Linear Algebra with Python

Think Linear Algebra is a code-first, case-based educational book that teaches linear algebra through real-world problems and Python programming. Rather than focusing on abstract theory, each chapter tackles practical challenges such as modeling web traffic, simulating flocking birds, or analyzing electrical circuits. Readers use Python libraries like NumPy, SciPy, SymPy, and NetworkX to build working solutions, demonstrating how linear algebra provides elegant, general-purpose tools for computational thinking and problem-solving.

Revieweducationmathematicsprogrammingallendowney.github.io·Hacker News: Front Page·21d ago·3 min read

MLJAR Studio: A Private, Local AI Platform for Data Analysis and Machine Learning

MLJAR Studio is a private, locally-run AI data analysis platform that allows users to interact with their data using natural language, automatically build machine learning models, and generate insights — all without sending data to the cloud. It targets teams in academia and indu

technologymachine learningprogramming

mljar.com·Hacker News: Front Page·29d ago·11 min read

Burla demo: Analyzing 1.7M Airbnb photos and 50.7M reviews at scale using CLIP and Claude Haiku Vision

A technical demonstration of processing all public Airbnb listings (119 cities, 4 quarterly snapshots) using CLIP to score 1.7M photos for suspicious content, with Claude Haiku Vision double-checking shortlists. Also scored 50.7M reviews and reranked the weirdest 12K. All processing was parallelized on Burla's platform using ~1.7K CPU workers and 20 A100 GPUs.

technologycloud computingdata scienceburla-cloud.github.io·Hacker News: Front Page·1mo ago·2 min read

TurboQuant: AI Efficiency Technology Using Extreme Compression for High-Dimensional Vectors

Insighttechnologyartificial intelligencemachine learning

research.google2mo ago

Lightning Rod: Tool for Generating Training Datasets from Real-World Data

Producttechnologyprogrammingdata science

Product Hunt2mo ago

Introduction to Machine Learning: Visual Guide to Classification with Home Data Example

technologyeducationmachine learning

r2d3.us2mo ago

Introduction to Decision Trees: Understanding Entropy and Information Gain in Machine Learning

technologyeducationmachine learning

mlu-explain.github.io3mo ago

Measuring Data Processing Effectiveness: Defining Insight and Compression Efficiency

Insighttechnologyeducationdata science

news.ycombinator.com3mo ago

Visual Introduction to Probability and Statistics: An Interactive Learning Resource

educationsciencemathematics

seeing-theory.brown.edu3mo ago

Livedocs: AI-Powered Collaborative Workspace for Data Science and App Building

Livedocs is an AI-powered collaborative workspace that combines data science notebooks with app builder simplicity, designed as an AI data scientist for modern teams to work with data.

technologybusinesscollaborative tools

livedocs.com·Hacker News: Front Page·3mo ago·1 min read

Metaflow and Kubeflow Integration: Combining Data Science Productivity with Scalable ML Infrastructure

Newstechnologymachine learningprogramming

blog.kubeflow.org3mo ago

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