To thrive in 2026 in AI search, generative discovery, and multi-platform behavior, you need systems that learn, react, and ...

Opportunities include leveraging synthetic data, now over 50%, to enhance autonomous driving by filling long-tail scenarios. The full-process automated toolchain lowers costs and boosts efficiency, ...

“Imagine a computation that produces a new bit of information in every step, based on the bits that it has computed so far. Over t steps of time, it may generate up to t new bits of information in ...

Wall Street's major averages saw another day of declines on Wednesday after the wholesale inflation data came in line with ...

In a recent installment of the International Society of Automation’s “Ask the Automation Pros” series, Erik Cornelsen, ...

Here’s a story about a gamer “IridiumIO“ who managed to compress 60 Steam games and save 380 GB of space — all while making them launch faster than before. How is that even possible? Simple: on a ...

TinyCompress is a lightweight Python library that provides efficient data compression algorithms with a focus on simplicity and ease of use. The library implements multiple compression methods: LZSSW ...

Traditional manual detection of rural road surface distress is time-consuming and labor-intensive. In this paper, we propose a Mask R-CNN algorithm specifically designed for detecting rural road ...

ABSTRACT: Objective: This research aimed to investigate the effects of hearing aids(HAs) on sound localization in noisy environment for individuals with unilateral hearing loss(UHL). Method: The study ...

Researchers from Rice University and startup xMAD.ai have detailed Dynamic-Length Float (DFloat11), a technique achieving approximately 30% lossless compression for Large Language Model weights stored ...