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

By now, ChatGPT, Claude, and other large language models have accumulated so much human knowledge that they're far from simple answer-generators; they can also express abstract concepts, such as ...

There's been a seismic shift in science, with scientists developing new AI tools and applying AI to just about any question that can be asked. Researchers are now putting actual seismic waves to work, ...

Google rolled out a brand new experimental AI tool last Thursday called Project Genie. By Friday, video game stocks were tumbling as a result. Gaming industry giants like Unity Software, Roblox, ...

We use S3 source with ClickHouse as engine, and Rill for visualization. This example demonstrates advanced data modeling strategies for real-time analytics using ClickHouse and Rill. We showcase how ...

In these politically divisive times, there’s one thing we all agree on—we don’t want a giant data center in our backyard. Behold, the hyperscale data center! Massive structures, with thousands of ...

A few days ago, Google finally explained why its best AI image generation model is called Nano Banana, confirming speculation that the moniker was just a placeholder that stuck after the model went ...

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 ...

In Sarah Yuska’s sixth-grade science class at Monocacy Middle School in Frederick, Maryland, students are just finishing up learning about body systems—respiratory, circulatory, skeletal, and so on.

This work introduces Concept-ROT, a method for inserting trojans into LLMs that trigger on high-level concepts, bypassing safety and enabling harmful behaviors. Model editing methods modify specific ...