Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...

The pace of deployment of age estimation, and demand for evaluation of the systems’ effectiveness, is outpacing the methods ...

Incorporating procalcitonin into an algorithm for sepsis diagnosis in the emergency department did not affect the timeliness ...

Biozen, LLC, today announced it will present prospective clinical validation data for its cuffless blood pressure technology at the American College of Cardiology (ACC) Scientific Sessions, taking ...

After 30 months of fast-paced innovation in quantum algorithms, six research groups are hoping to hit paydirt. But there can ...

Abstract: The vast majority of today’s data is collected and stored in enormous databases with a wide range of characteristics that have little to do with the overarching goal concept. Feature ...

Abstract: It is observed that face recognition (FR) algorithms are highly vulnerable to two prominent attacks, i.e., presentation attacks and adversarial attacks. However, interestingly, to the best ...

Every time you scroll, like or share on a social media platform, an algorithm is watching, learning and deciding what you see next. But how many of us stop to think about what’s actually driving those ...

LLM4AD is an open-source Python-based Platform leveraging Large Language Models (LLMs) for Automatic Algorithm Design (AD). Please refer to the paper [LLM4AD] for detailed information, including the ...

We use Quarto to generate all outputs. @book{Nguyen2025TLBoAlg, author = {Duc-Tam Nguyen}, title = {The Little Book of algorithms}, year = {2025}, url = {https ...