AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...

COBOL is in the headlines again, and this time it is because of artificial intelligence (AI) – sparking conversations with tools emerging that claim t.

Sasha Stiles turned GPT-2 experiments into a self-writing poem at a Museum of Modern Art installation—and a new way to think about text-generating AI optimization ...

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...

ByteDance's latest Seedance 2.0 release produces hyper-real outputs from fairly simple text and image outputs that blur the line between real and AI generated.

We describe an algorithm based on several novel concepts for synthesizing a desired program in this language from input-output examples. The synthesis algorithm is very efficient taking fraction of a ...

After more than a month of rumors and feverish speculation — including Polymarket wagering on the release date — Google today unveiled Gemini 3, its newest proprietary frontier model family and the ...

I’m benchmarking VLM pathology segmentation. BiomedParse is a key baseline, so I tried zero-shot segmentation inference. The script example_prediction.py consistently hangs with no output across ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

Hello! I'm a dreamer focusing on high-load distributed systems and low-level engineering. I mainly code in Rust and Python ...