According to Valuates Reports, The global market for AI in Biotechnology was valued at USD 1033 Million in the year 2024 and ...

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 ...

If you've been planning to step up your data science game for the new year, the 2026 NPTEL course lineup from India's top IITs is honestly a goldmine. These courses cover the backbone of modern ...

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 ...

ON SEPTEMBER 10th Charlie Kirk, a right-wing activist, was shot dead while speaking at a university in Utah. Although a suspect is in custody, the motive of the killer is still unknown. President ...

Data‑analysis workflow. Experimental and computational datasets are unified; crystal‑structure graphs, deep learning, and dimensionality reduction yield the materials map. Selecting the right material ...

We encountered a problem in Spring Data Neo4j when a domain entity contains both incoming and outgoing relationships, and the query returns a deeply nested / complex graph structure (with the same ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Jul 03, 2025, 10:43am EDT Business 3d tablet virtual growth ...

Beijing Zhongke Journal Publising Co. Ltd. The lead author Cheng-Zhi Qin, a professor of geographical information science (GIS) at Institute of Geographic Sciences and Natural Resources Research, ...