News & Insights

Discover the latest news, insights, and updates from ISODS

ISODS Releases Inaugural U.S. College Rankings Using Federal Datasets

ISODS Releases Inaugural U.S. College Rankings Using Federal Datasets

The International Society of Data Scientists (ISODS) has published its inaugural U.S. university ranking, evaluating 1,514 colleges and universities exclusively using public federal data (College Scorecard and IPEDS) rather than reputation surveys.
ISODS Special Citation: Recognizing OpenAI’s Research Team for Innovations in Formal Mathematics

ISODS Special Citation: Recognizing OpenAI’s Research Team for Innovations in Formal Mathematics

The International Society of Data Science (ISODS) is pleased to award a Special Citation of Merit to the Reasoning Research Team at OpenAI. This honor recognizes their groundbreaking work in AI-driven mathematical discovery, particularly their use of extended test-time compute to generate machine-verified formal proofs using the Lean interactive theorem prover.
Announcing the ISODS Index: A Public Directory of Data Science & AI Programs

Announcing the ISODS Index: A Public Directory of Data Science & AI Programs

ISODS is pleased to announce the ISODS Index of Data Science & AI Programs, a public catalog of degree programs in data science, artificial intelligence and related fields. The index is live today at /catalog.

AI & Data Science Headlines

Curated headlines from AI, ML, and data science sources around the web

via OpenAI News

How Amplitude ships product improvements in 1–2 days with OpenAI

Built primarily on OpenAI models, Amplitude’s proactive product agent, Wave, identifies what to build, helps teams ship changes with coding agents, and measures the impact.

OpenAI News

via Hugging Face Blog

LLMON: An LLM-Native Markup Language, now in Granite 4.1 3B and 8B

Hugging Face Blog

via Google DeepMind Blog

Introducing Gemini 4 Hydrogen

Google DeepMind Blog

via Machine Learning Mastery

Fast Attention Kernels and Operator Fusion

Overview This post is divided into four parts; they are: • Operator Fusion • FlashAttention-Style Kernels • Paged Attention Kernels • Fusion and CUDA Graphs with torch.

Machine Learning Mastery

via PyTorch Blog

Fast by Default: Compile-Time Heuristics for Helion Kernels

TL;DR Helion now uses compile-time heuristics that analyze a kernel’s IR and dataflow to pick fast settings without slow autotuning. It classifies the kernel as matmul, reduction, or pointwise and... The post Fast by Default: Compile-Time Heuristics for Helion Kernels appeared first on PyTorch .

PyTorch Blog

via KDnuggets

Building Graph-Enhanced GenAI Applications with graphrag-toolkit

Learn how graph-enhanced RAG connects related facts that plain vector search misses, then build a multi-hop research assistant with AWS Labs' open-source graphrag-toolkit, Neo4j, and pgvector.

KDnuggets

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