Telecom’s AI Shift: Carriers Are Building Agentic Networks For The 6G Era

From RAN optimization to agentic AI integration, telecom operators are transforming networks into self-directed, intelligent infrastructure powered by AI.
Devdiscourse

AI set to power autonomous 6G systems

6G visions include immersive extended reality, holographic communications, tactile internet applications, and large-scale digital twins. Supporting these services will demand fully autonomous network ...

From sensors to smart systems: the rise of AI-driven photonic noses

Conventional electronic noses rely on arrays of chemical sensors whose electrical responses are often affected by humidity, temperature fluctuations, and long-term drift. While these systems have ...
IEEE

Construction of Visual Knowledge Graph Based on Distributed Machine Learning Algorithms

In today's digital age, visual data is experiencing explosive growth. Images, videos and other visual information contain rich semantic knowledge. However, due to their massive volume and complexity, ...
Medical Xpress

Deep-learning algorithms enhance mutation detection in cancer and RNA sequencing

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...
Frontiers

A combined approach to lithology identification using reinforcement learning and transformer algorithms

Lithology identification plays a pivotal role in logging interpretation during drilling operations, directly influencing drilling decisions and efficiency. Conventional lithology identification ...
IEEE

Multi-UAV Path Planning for Plural Data Collection: Distributed Multi-Agent Deep Reinforcement Learning Algorithms

Abstract: Distributed path planning for multiple unmanned aerial vehicles (UAVs) plays a significant role in data collection systems. However, insufficient collaboration among multiple UAVs and ...