Model size, dataset size and compute all depend on the availability of necessary AI infrastructure
In January 2020, a team of OpenAI researchers led by...
IoT continues to be a dynamic and evolving field, with 2025 set to bring key transitions in technology, market dynamics, and regulatory frameworks. Transforma...
An edge AI “easy button” for enterprise digital transformation
In their own effort to better (and more profitably) serve enterprise customers, CSPs are going through...
BT talks monetizing edge AI, creating a global connectivity fabric and the future of conversational networks
Back in June at a telecoms industry show, BT...
As Turkcell adopts AI, initial use cases include energy savings, customer complaint forecasting and radio link failure prediction
Looking back at the technological jump from...
Three workload distribution models are emerging for AI-RAN — RAN-only, RAN-heavy or AI-heavy
In November, SoftBank announced that it successfully piloted the world’s first combined...
Energy consumption is one of the biggest factors of OpEx, says AI-RAN Alliance Chair Alex Jinsung Choi
The reduction of operation expenses (OpEx) is a...
Google Cloud sees telco AI "absorption rate” as an “incredible phenomenon”
Communications service providers (CSPs) are all-in on AI; makes sense given macro issues around...
Nokia sees gen AI enabling conversational networks in three to five years
Nokia recently laid out its vision for a future network architecture that’s all...
To understand the commercial reality of cellular connectivity, in this case 5G, it’s important to understand the standardization work that set the stage for...
Data center industry sees strong growth continuing, driven by AI
LANSDOWNE, Virginia—The data center industry is seeing explosive growth, and some market observers have called...
For Rakuten Mobile’s SVP of Next Generation Advanced Research, the key is to decouple 6G workloads from the cloud-native platform
In a recent article, RCR...
As mobile network operators operate under increasingly strict capital and operating budgets, they are not only seeking greater efficiencies, they are looking at smarter...
Artificial intelligence is being applied more broadly and deeply in telecom networks; though AI and machine learning have been part of network testing and...
Whether telco AI applications are delivered by leveraging hyperscaler clouds or run on-premises, many are support by the multi-billion parameter large language models (LLMs)...
