Abstract: Information technology growth brings vast time-series data. Despite richness, challenges like redundancy emphasize the need for time-series data fusion research. Rough set theory, a valuable ...

In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...

Earlier this month, a hacker named Lovely claimed to have breached a Condé Nast user database and released a list of more ...

What will shape enterprise data in 2026? We look at insights from Bloomberg’s Enterprise Data & Tech Summit in London on ...

Abstract: Hidden Markov models (HMMs) for time-series data analysis are attracting wide interests in industries due to their ability to model the extensively existing dynamics and non-Gaussianities.

A fired Stanford researcher was given four years of probation for hacking into a cancer patient database and altering it in 2013. Naheed Mangi, 70, was convicted earlier this year of intentional ...

Recognized for its ability to execute and completeness of vision Alibaba Cloud, the digital technology and intelligence ...

Oct 3 (Reuters) - Open-source database startup Supabase said on Friday it has secured a valuation of $5 billion in its latest funding round, as investors continue to back companies riding the wave of ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Time-series data—measurements collected at regular intervals, like stock prices or traffic flows—has become a key driver of intelligent decision-making systems across industries. From medical ...

The Trump administration has, for the first time ever, built a searchable national citizenship data system. The tool, which is being rolled out in phases, is designed to be used by state and local ...