Intelligent drones and unmanned aerial systems (UAS) are rapidly evolving from experimental prototypes into essential ...
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 ...
Musculoskeletal (MSK) conditions drive a large share of global pain, disability, and lost productivity. Rehabilitation can be effective, but outcomes vary ...
A real-world AWS QuickSight playbook based on deploying ML models, modern BI pipelines, and protecting $8.3M in ...
Benchmark accuracy of Klear-Reasoner-8B on AIME 2024/2025 (avg@64), LiveCodeBench V5 (2024/08/01-2025/02/01, avg@8), and v6 (2025/02/01-2025/05/01, avg@8).
Understanding how athletes and learners regulate their cognitive, emotional, and physiological states is central to optimizing both performance and motor ...
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.
A new systematic review, Operational AI for Multimodal Urban Transport: A Systematic Literature Review and Deployment ...
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 ...
Abstract: Accurate demand forecasting is a critical requirement in the dairy industry, where fluctuations in consumption, seasonal effects, and product perishability create significant operational ...
Abstract: The growing demand for high-capacity optical networks has driven the advancement of digital coherent optical communication systems, which rely on sophisticated signal processing to mitigate ...
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