Researchers at Yazd University developed a binary version of the Puma Optimization Algorithm that achieved 91.53 percent ...

Amin’s research applies AI and machine learning—especially multimodal, text, unsupervised, and graph-based methods—to turn ...

The Limits of Ad Creative Optimization and the Breakthroughs Brought by LLM and Reinforcement LearningIn digital marketing, ad creatives are one of the most critical variables influencing conversions ...

Machine learning models are often drowning in data, but the problem is not always the sheer volume of samples. Increasingly, ...

What is the most exhausting factor for maintenance teams in manufacturing facilities?It is the sudden line stoppages (major breakdowns), late-night emergency calls, and the 'scramble maintenance' ...

Datalab's OmniExtractBench tests extraction on 620 documents from 4 vendor benchmarks with 1 deterministic scorer explaining ...

Unlocking healthcare data requires more than algorithms—it demands validation, context, and clinical collaboration.

OpenAI said in a security post published September 30, 2026 that it identified and disrupted a coordinated campaign designed ...

Construction risk decisions often begin with fragmented financial, compliance, and operational information. At ...

YouTube says it’s going to let you build your own algorithm — well, kind of. The company on Wednesday announced a new feature called custom feeds that allows you to describe, in your own words, the ...

A review published in ENGINEERING Energy systematically evaluates how artificial intelligence is transforming waste plastic pyrolysis. By ...

Feature selection (FS) is a critical step in hyperspectral image (HSI) classification, essential for reducing data dimensionality while preserving classification accuracy. However, FS for HSIs remains ...