Meta Platforms delivered strong 28% revenue growth, but margins and FCF suffered due to aggressive AI-driven capex. Read more ...
In July 2025, we discussed two decisions from the United States District Court for the Northern District of California addressing the use ...
The Silicon Valley company’s costs rose more steeply than revenue growth, as it continues to invest heavily in artificial ...
A Times examination details how the Silicon Valley giant used private talks with local officials to start a project big ...
A systematic review was performed to identify VEGF-A polymorphisms associated with DR susceptibility. To avoid duplication, the study protocol was registered on the International Prospective Registry ...
Postoperative readmission is a critical metric after total hip and knee arthroplasty (THA/TKA). While machine learning (ML) models for predicting readmission risk are proliferating, the stability of ...
Students of Shetty Institute of Technology (SIT), Kalaburagi, had an opportunity to interact with engineers from Meta during an interactive session on artificial intelligence (AI), emerging ...
Background: Preoperative endometrial cancer (EC) diagnosis often depends on radiologists’ expertise, which introduces subjectivity. Recent studies have explored radiomics-based machine learning (ML) ...
However, there is a scarcity of clear and comprehensive evidence that compares the performance of federated learning (FL) with that of the established centralized machine learning (CML) in the ...
Abstract: As a distributed machine learning paradigm, federated learning enables clients to collaboratively train a global model without sharing their raw data, thus preserving data privacy while ...
Abstract: A bidirectional machine learning (ML) method is proposed in this work to design a broad bandwidth W-band meta-surface window (MSW) for a gyrotron traveling-wave tube (gyro-TWT). This ML ...
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