The Next Platform

New Google Networks Tuned Up For GenAI Inference And Training

It is almost certainly not a coincidence that a networking expert at Google has risen to the top to be put in charge of the infrastructure development at the search engine, advertising, and now AI ...
CNBC

Google unveils chips for AI training and inference in latest shot at Nvidia

Google is dedicating a chip to running artificial intelligence models, and a separate processor to training models. Amazon is pursuing a similar strategy, as both companies take on Nvidia by offering ...
IEEE

Hierarchical Bayesian inference for community detection and connectivity of functional brain networks

Abstract: Most functional magnetic resonance imaging studies rely on estimates of hierarchically organized functional brain networks whose segregation and integration reflect the cognitive and ...
Business Wire

Arrcus Delivers Record Breaking 3x Bookings Growth in 2025, and Introduces AI-Policy Aware Arrcus Inference Network Fabric

Purpose-built network fabric designed to accelerate delivery of real-time and agentic AI applications with improved throughput and power efficiency while reducing token retrieval time, latency, and ...
SDxCentral

Arrcus network fabric layer aims to direct AI inference traffic

Arrcus launched a new network fabric layer targeted at potential traffic bottlenecks caused by the growing use of AI inferencing services. The Arrcus Inference Network Fabric (AINF) is designed to ...
Ars Technica

Why has Microsoft been routing example.com traffic to a company in Japan?

From the Department of Bizarre Anomalies: Microsoft has suppressed an unexplained anomaly on its network that was routing traffic destined to example.com—a domain reserved for testing purposes—to a ...
Network World

OpenAI turns to Cerebras in a mega deal to scale AI inference infrastructure

The multibillion-dollar deal shows how the growing importance of inference is changing the way AI data centers are designed and operated. OpenAI has signed a multibillion-dollar agreement to buy ...
SDxCentral

AI inference crisis: Google engineers on why network latency and memory trump compute

Google researchers have warned that large language model (LLM) inference is hitting a wall amid fundamental problems with memory and networking problems, not compute. In a paper authored by ...
IEEE

A Semantic-Aware Resource Allocation for Emerging AAV-NOMA Networks Empowered by Bayesian Active Inference

Abstract: Future wireless networks demand intelligent, data-intensive services with high reliability and low latency, motivating semantic-aware communication as a transformative paradigm. In this ...
Semiconductor Engineering

Multi-Core Architecture Optimized For Time-Predictable Neural Network Inference (FZI, KIT)

A new technical paper titled “MultiVic: A Time-Predictable RISC-V Multi-Core Processor Optimized for Neural Network Inference” was published by researchers at FZI Research Center for Information ...
Scientific Research Publishing

Comparative Analysis of Neural Networks and Naive Bayes for Multilingual Text Identification ()

1 Department of Computer Science, Rochester Institute of Technology, Rochester, USA. 2 Department of Computer Science, Rutgers University, New Brunswick, USA. Language identification is a fundamental ...