Artificial Intelligence serves as a fundamental construct for large-scale societal transformation when integrated with open ...

Arrcus launched a new network fabric layer targeted at potential traffic bottlenecks caused by the growing use of AI inferencing services.

A new group-evolving agent framework from UC Santa Barbara matches human-engineered AI systems on SWE-bench — and adds zero ...

FriendliAI also offers a unique take on the current memory crisis hitting the industry, especially as inference becomes the dominant AI use case. As recently explored by SDxCentral, 2026 is tipped to ...

Enterprises expanding AI deployments are hitting an invisible performance wall. The culprit? Static speculators that can't keep up with shifting workloads. Speculators are smaller AI models that work ...

In an interview at the India AI Impact Summit 2026, Qualcomm’s Durga Malladi explained why the industry must shift toward Physical AI and hybrid inference.

Meet llama3pure, a set of dependency-free inference engines for C, Node.js, and JavaScript Developers looking to gain a ...

Edge AI is a form of artificial intelligence that in part runs on local hardware rather than in a central data center or on cloud servers. It’s part of the broader paradigm of edge computing, in which ...

Infosys co-founder Nandan Nilekani states AI agents on open networks are crucial for societal change. He stresses removing language barriers and lowering AI inference costs for mass adoption, citing ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. At CES 2026, Lenovo showcased the importance of placing AI closer to people, data, and ...

A new forecast from Nokia suggests that WAN traffic could grow by as much as 700% by 2034, driven largely by the rapid expansion of AI workloads.

Ericsson unveiled a spate of new products set to be showcased at MWC26 Barcelona at its pre-event media and analyst session ...