Marketing professionals question whether "Generative Engine Optimization" accurately describes work focused on shaping ...

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.

One recent analysis found that “GPT-4-equivalent performance now costs $0.40/million tokens versus $20 in late 2022.” That is ...

Artificial intelligence has entered a phase that feels both inevitable and strangely precarious. The hype is unmistakable. So is the sense that we are still early — too early — for the broader ...

AI & Society, states that algorithmic systems often construct competing but equally valid “model-worlds,” offering empirical support for a philosophical claim that evidence alone cannot uniquely ...

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

The dominant narrative about AI reliability is simple: models hallucinate. Therefore, for companies to get the most utility ...

As I fly back from India, the energy at the AI Summit is still fresh — broad engagement, real ambition and accelerating ...

RoguePilot flaw let GitHub Copilot leak GITHUB_TOKEN, while new studies expose LLM side channels, ShadowLogic backdoors, and promptware risks.

Server hardware and software co-design for a secure, efficient cloud.

In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct ...

Users running a quantized 7B model on a laptop expect 40+ tokens per second. A 30B MoE model on a high-end mobile device ...