Thinking Machines challenges OpenAI's AI scaling strategy: 'First superintelligence will be a superhuman learner'

Thinking Machines Lab challenges OpenAI’s scaling-first approach to artificial intelligence, arguing that true ...
IEEE

Federated Learning with Workload Reduction through Partial Training of Client Models and Entropy-Based Data Selection

Abstract: With the rapid proliferation of edge devices, such as those in the Internet of Things (IoT), which generate critical data for machine learning applications, it is essential to enable their ...
InfoWorld

How to deploy machine learning models with AWS Lambda

AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools. In the rapidly evolving landscape of artificial ...
IEEE

Rolling Bearing Fault Diagnosis Based on Improved Multi-Scale Dispersion Entropy and Deep Extreme Learning Machine

Abstract: In response to the challenges associated with the incomplete extraction of fault features in rolling bearings and the resultant low recognition accuracy, this study proposes a fault ...