AI agents rely on five core components: perception, learning, reasoning, action, and communication. This guide explains how each component works, how memory, planning, and tool use fit into...

One week until the ministers, regulators, operator CEOs, technology leaders and investors transforming ASEAN's digital future convene in Kuala Lumpur

A sector report references aggressive AI adoption in telecom but provides no specific companies, geographies, architectures, or deployment details.

Yandex introduced Yandex SIM, a mobile virtual network service embedding an AI assistant into calling to analyze conversations, flag potential fraud, and later personalize plans based on user needs. No host network or technical architecture details were disclosed.

Private 5G deployments are built from four distinct vendor layers — RAN, core, edge, and systems integration — each with its own specialist vendor landscape and evaluation criteria....

Two separate consortia are competing to develop a cybersecurity-focused AI foundation model, with one consortium to be selected in early September 2026.

KDDI, in collaboration with Osaka city officials and robotics vendor Avita, will run a public trial starting 31 August of a humanoid robot assisting passengers with information on the Osaka Metro, powered by Google’s Gemini AI model.

On Aug. 28, SK Telecom stated it was chosen to lead operation of the national 'AI for Everyone' program in South Korea, indicating a formal role in scaling AI access and services.

Calix leadership signals a strategic shift emphasizing AI across the company, characterizing the coming pace of AI-driven change as exceptionally rapid. No specific products, deployment models, or timelines were detailed.

Ciena-commissioned survey (Censuswide, July 13–23, 2026; n=1,200 global, 100 in India) reports 67% of Indian respondents strongly agree AI-driven network services will be a primary revenue driver in 3–5 years (27% somewhat agree). 98% expect managed optical fiber network services (MOFN) to generate revenue from interconnecting distributed AI compute clusters within three years (48% significant). 88% say optical network upgrades are urgently needed to meet low-latency enterprise demands (38% want major upgrades now). 93% view next-gen optical (higher-capacity wavelengths, power‑efficient coherent optics) as critical to profitable AI connectivity; 94% rate advanced network automation as important/critical. 88% expect GPU-as-a-Service, edge compute, localized AI inference, and private wireless to contribute ≥10% of enterprise revenue within three years (35% >20%). 59% expect physical AI (robots, machine vision, remote control) to exceed 15% of AI enterprise revenue within five years.