The Biostatistics Unit at the Germans Trias i Pujol Research Institute (IGTP), in collaboration with researchers from several ...

MIT and IBM released ChartNet, a 1.7-million-sample synthetic training dataset that lets compact open-source vision-language ...

Meta Platforms has positioned its latest feature as part of a broader effort to address those concerns, building on a decade of work in encrypted communications ...

PromptSE uses structured LLM prompting to generate pharmacologically relevant side-effect representations, then feeds them ...

Open source robotics AI platform LeRobot surpassed 58,000 community datasets in 2026 — 50x growth in under a year — making it the largest dataset category on Hugging Face and signaling a ...

The Common Data Set can help prospective students know how much aid they could get to pay for college. Why don’t all schools provide it? By Ron Lieber A similar version of this column was published ...

Abstract: Manual dataset labeling is expensive, time-consuming, and susceptible to noise and inaccuracies, often necessitating significant financial investments with risks of inconsistencies from ...

On vLLM we have two main benchmark scripts (benchmark_throughput.py and benchmark_serving.py) to measure the performance of vLLM. However, the dataset sampling functions are defined within each script ...

Health Canada this week published approval of watchOS 11's sleep apnea detection feature on the Apple Watch Series 10, Apple Watch Series 9, and Apple Watch Ultra 2. The feature launched in the U.S.

Finding and acquiring the right data to build an enterprise dataset is perhaps the most critical task facing organisations that want to build their own artificial intelligence (AI) models. Even with ...