Discover the importance of homoskedasticity in regression models, where error variance is constant, and explore examples that illustrate this key concept.

DeepSeek, Moonshot and MiniMax created more than 16 million interactions with Claude using roughly 24,000 fake accounts, the ...

Anthropic says the campaign led to "over 16 million exchanges with Claude through approximately 24,000 fraudulent accounts." ...

Large-language models (LLMs) have taken the world by storm, but they’re only one type of underlying AI model. An under-the-radar company, Fundamental, is set to bring a new type of enterprise AI model ...

An AI lab called Fundamental emerged from stealth on Thursday, offering a new foundation model to solve an old problem: how to draw insights from the huge quantities of structured data produced by ...

Feb 2 (Reuters) - Electric-vehicle maker Tesla (TSLA.O), opens new tab has introduced a new all-wheel drive variant of its bestselling Model Y SUV in the United States, priced at $41,990, according to ...

HB2151 threatens to speed up controversial data center construction statewide Harrisburg, PA — Today, the House Energy Committee held a hearing for HB2151, a Shapiro-backed bill that would provide a ...

Meteorologists frequently mention weather prediction models in their forecasts. They explain what they’re gleaning from the “U.S. Model,” for instance, and how that might differ from the “European ...

Unverified and low-quality data generated by artificial intelligence (AI) models – often known as AI slop – is forcing more security leaders to look to zero-trust models for data governance, with 50% ...

The proliferation of AI data, evolving regulatory requirements and risk of large language model (LLM) collapse will help to drive take up of zero trust approaches to data governance in the next two ...

MongoDB Inc. is making its play for the hearts and minds of artificial intelligence developers and entrepreneurs with today’s announcement of a series of new capabilities designed to help developers ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...