Every time someone orders food online, checks exam results, or streams a video, new data is created and saved. Behind these activities are large databases that store millions of records. These ...

Abstract: The emerging field of graph learning, which aims to learn reasonable graph structures from data, plays a vital role in Graph Signal Processing (GSP) and finds applications in various data ...

The U.S Department of Justice said in newly released court documents that two staffers at the Department of Government Efficiency (DOGE) may have illegally used Social Security data as part of an ...

Federal Reserve policymakers cut interest rates for the third straight meeting on Wednesday while signaling there may be only one cut next year as rates get closer to a neutral level. The Fed lowered ...

Abstract: Graph Convolutional Networks (GCNs) have been widely studied for attribute graph data learning. In many applications, graph node attributes/features may contain various kinds of noises, such ...

Millions of users work with SQL to keep the gears of their business turning. In an era marked by relentless digital transformation, the proliferation of AI workloads, and tightening regulatory demands ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

CrowdStrike Holdings Inc.’s Enterprise Graph solution is the company’s latest defense against cyberattacks fueled by agentic artificial intelligence. The innovation is part of the company’s new ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...