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Leverage advanced Blackwell GPU hardware features such as TMA, tcgen05 tensor cores, shared memory swizzling, and tensor memory to optimize matrix multiplication, achieving significant performance improvements over naive implementations.

OpenAI is expanding economic opportunity by launching AI-focused job and certification platforms to upskill workers and connect them with employers, promoting broad access and fluency in AI.

Tempo is a payments-first, EVM-compatible blockchain designed for optimized stablecoin transactions with low fees, high scalability, and enhanced privacy, developed through collaboration with industry leaders.

SustainaPrint is an innovative software and hardware toolkit that enhances 3D printing sustainability by strategically reinforcing eco-friendly filaments with stronger materials using finite element analysis to balance environmental impact with mechanical performance.

Explores the advantages, challenges, and applications of synthetic data in AI, emphasizing privacy preservation, data augmentation, and the importance of validation metrics to ensure model performance and mitigate bias.

MIT researchers developed FlowER, a generative AI model integrating physical constraints like mass and electron conservation to improve the accuracy of chemical reaction predictions using bond-electron matrix representations and large-scale experimental data.

OpenAI is enhancing ChatGPT to better support mental health and well-being through expert partnerships, advanced reasoning models, expanded crisis interventions, and strengthened teen protections including parental controls in a 120-day initiative.

Vijaye Raji joins OpenAI as CTO of Applications following the acquisition of Statsig, aiming to enhance AI-driven product engineering, experimentation, and reliable scalable systems for ChatGPT and beyond.

An in-depth exploration of rubric design for evaluating generative AI outputs, detailing types, measurement granularity, specificity, process vs. outcome evaluation, and methods including human, LLM, code-based, and reward model assessments.

Exploring the transformative impact of machine learning on biology and medicine, focusing on causal inference, multi-omics data integration, and innovative predictive models driving the next era of biomedical research.

A closed-form theory revealing that word2vec learns word embeddings through sequential low-rank approximations equivalent to PCA on a matrix derived from corpus co-occurrence statistics.

OpenAI launches a $50M People-First AI Fund to support U.S.-based nonprofits applying innovative AI solutions for community impact and public good.