Intelligent drones and unmanned aerial systems (UAS) are rapidly evolving from experimental prototypes into essential infrastructure across disaster response, health care delivery, agriculture, ...
Recentive Analytics, Inc. v. Fox Corp., No. 23-2437 (Fed. Cir. 2025) – On April 18, 2025, the Federal Circuit upheld the district court’s dismissal of the case on the ground that the patents were ...
A real-world AWS QuickSight playbook based on deploying ML models, modern BI pipelines, and protecting $8.3M in ...
Machine learning added to NTN’s ABICS system reduces simulation time by more than 90 percent and automates dimension optimization for third-generation hub bearings, the company says.
Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.
As ad platforms turn into black boxes, signal optimization offers a way to predict downstream value early and improve CAC and ...
Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...
In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...
Machine learning (ML) and deep learning (DL) as two well-known methods of artificial intelligence (AI) have emerged as powerful tools in extracting insights and patterns from vast amounts of data. In ...
Since its theoretical concept in the 1950s, artificial intelligence (AI) paved the way for businesses to experience enhanced opportunities and productivity through various techniques, especially ...
The Nation Newspaper on MSN
Researcher advances explainable AI for IoT security
A Nigerian-born cybersecurity researcher, Taiwo Ogunseyi, is playing a crucial role in enhancing the security of Internet-of-Things (IoT) and cyber-physical systems through the effective deployment of ...
The study shows that AI plays an equally critical role in smart grid operations, where the challenge shifts from managing single households to coordinating thousands or millions of distributed energy ...
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