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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.
Collaboration Between ISODS and Vietnam

Collaboration Between ISODS and Vietnam

The International Society of Data Scientists (ISODS) have established a formal collaboration with Vietnam to co-develop, standardize, and deliver advanced training programs in artificial intelligence, cybersecurity, and data science. 
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AI & Data Science Headlines

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

via PyTorch Blog

ExecuTorch WebGPU: PyTorch Models on the GPU, in the Browser

TL;DR PyTorch models now run in the web browser on the GPU through ExecuTorch, with no conversion to another framework’s format. You export with torch.export to an ExecuTorch .pte file,... The post ExecuTorch WebGPU: PyTorch Models on the GPU, in the Browser appeared first on PyTorch .

PyTorch Blog

via KDnuggets

How to Use AI for Enterprise BI

Learn how AI can make enterprise business intelligence more accessible, automate reporting, uncover insights faster, and improve decision-making with the right governance.

KDnuggets

via PyTorch Blog

Optimizing Muse Spark Open on TPU v7 with SGLang-TorchTPU

TL;DR We serve Meta’s Muse Spark Open, an 816B-parameter mixture-of-experts model, on a single TPU v7 host of four chips, with SGLang running on the TorchTPU PyTorch backend. At the... The post Optimizing Muse Spark Open on TPU v7 with SGLang-TorchTPU appeared first on PyTorch .

PyTorch Blog

via Google DeepMind Blog

Gemini 4 Carbon is now available

Google DeepMind Blog

via KDnuggets

Integrating LLM Translation into Your Scikit-Learn Pipelines with Scikit-LLM

Learn, in a few easy steps, how to build a two-stage scikit-learn pipeline for multilingual text classification, guided by two pre-trained language models handled by Scikit-LLM for translation and zero-shot classification.

KDnuggets

via KDnuggets

5 Techniques for Fine-Tuning LLMs Without Breaking the Bank

Learn five practical ways to fine-tune LLMs on a budget, from LoRA and QLoRA to Unsloth, DPO, and right-sizing your GPU, with working code for each technique.

KDnuggets

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