Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

A new NURBS-based algorithm is revolutionizing gridshell design by enabling faster, smoother, and more flexible shape-finding ...

Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends ...

Background Endometriosis is a debilitating gynaecological disorder with an elusive pathogenesis. While gut microbiota dysbiosis has been implicated, the causal role of gut-peritoneum microbial ...

Welcome to this month’s issue of The BR Privacy & Security Download, the digital newsletter of Blank Rome’s Privacy, Security & Data ...

Abstract: Trajectory classification algorithms are widely used in fields such as behavior recognition, anomaly detection and monitoring, and video content analysis. To overcome the issues of ...

Abstract: We propose a general attack framework based on evolutionary algorithms to quickly and efficiently generate low-perturbation adversarial samples for 3D point cloud data. Specifically, we ...

A production-ready distributed rate limiter supporting five algorithms (Token Bucket, Sliding Window, Fixed Window, Leaky Bucket, and Composite) with Redis backing for high-performance API protection.

I wanted to implement a custom TorchRLModule. class ChessRLModule(VPGTorchRLModule): def setup(self): # obs_space['observation'] is (8, 8, 111) for chess_v6 obs_space ...