Quesma Releases OTelBench: Independent Benchmark Reveals Frontier LLMs Struggle with Real-World SRE Tasks

New benchmark shows top LLMs achieve only 29% pass rate on OpenTelemetry instrumentation, exposing the gap between ...
IEEE

Offline Reinforcement Learning-Based Optimal Backoff Policy Selection for WSNs Using DQN: A Data-Driven Approach for Coexistence Management in the Unlicensed Spectrum

Abstract: The unlicensed industrial, scientific, and medical (ISM) frequency bands are utilized by a plethora of heterogeneous wireless technologies that are densely collocated and share the same time ...
Dot Physics on MSN

Learn momentum conservation with a Python elastic collision model

Learn momentum conservation by building a Python model of elastic collisions! This tutorial guides you step-by-step through simulating elastic collisions, analyzing momentum transfer, and visualizing ...
North Penn Now

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
IEEE

Dueling Network Architecture for GNN in the Deep Reinforcement Learning for the Automated ICT System Design

Abstract: This paper presents an improved deep reinforcement learning-based (DRL) approach for end-to-end models using a Graph Neural Network(GNN). The proposed method aims to improve end-to-end deep ...