A high school dropout says he used ChatGPT to teach himself Ph.D.-level AI. He's now a research scientist at OpenAI's Sora ...

Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been ...

If you care about the future of AI — whether as a developer, investor, founder, or policy‑maker — it’s time to pay attention.

Semi-supervised learning merges supervised and unsupervised methods, enhancing data analysis. This approach uses less labeled data, making it cost-effective yet precise in pattern recognition.

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

At the center of this transformation is Anusha Joodala, a seasoned data engineer and EdTech innovator who has spent years ...

Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...

The project will build upon CSIRO’s expertise in the field of QML to develop new and innovative QML models. QML has the potential to offer enhanced reliability, training speed-up and unique feature ...

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Data-driven planning aids in the design of feasible clinical trials from the outset, by simulating enrollment before the study actually begins. Considering the burgeoning costs of clinical development ...