The Supreme Court’s ruling on Roundup shows science and law use the same word — causation — while asking different questions, ...

Musk confirmed on June 18 that Grok will pass spoken driving commands to FSD planning layer by September 2026. Australia got ...

The model learns that hedging is a signal of lower-quality output. This creates a systematic bias toward sounding certain.

Conclusions The C-CAS, a self-report measure of coercive control experiences among women, has demonstrated initial reliability and validity and is suitable for use in population or clinical studies.

National statistical offices (NSOs) worldwide are increasingly deploying machine learning (ML) and artificial intelligence (AI) to improve the efficiency of statistical production, from automated ...

Vikki Velasquez is a researcher and writer who has managed, coordinated, and directed various community and nonprofit organizations. She has conducted in-depth research on social and economic issues ...

While the tech world obsesses over headlines about the $100 million price tag to train GPT-4, the real economic story is happening in inference: the ongoing cost of actually running AI models in ...

Milestone articles have highlighted the frequency and types of statistical errors in research,1–5 yet fundamental errors persist across various disciplines. With a background in biostatistics and over ...

The creators of the open source project vLLM have announced that they transitioned the popular tool into a VC-backed startup, Inferact, raising $150 million in seed funding at an $800 million ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Economists say unbiased data is essential for policymaking, and for democracy. President Trump said he ousted the head of the Bureau of Labor Statistics because the numbers produced by her agency were ...

AI inference uses trained data to enable models to make deductions and decisions. Effective AI inference results in quicker and more accurate model responses. Evaluating AI inference focuses on speed, ...