diginomica

Enterprise hits and misses - Bayesian uncertainty makes for better AI, tokenomics gets demystified, and Meta's AI Avocado isn't ripe yet

This week - Oracle earnings punch back on the SaaS-is-dead narrative, but Adobe's CEO departure shows that market upheaval ...
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 ...
SDxCentral

Microsoft reveals Maia 200 & network architecture pushing scale-up inference efficiency

Microsoft has come swinging in the battle of custom hyperscale silicon, debuting its “AI inference powerhouse” Maia 200 accelerator. Built on Taiwan Semiconductor Manufacturing Company's (TSMC) 3nm ...
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 ...
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 ...
TCTMD

Case Examples of Bayesian Study Designs Used to Accelerate Assessments of Device Safety and Efficacy in SHD

Receive the the latest news, research, and presentations from major meetings right to your inbox. TCTMD ® is produced by the Cardiovascular Research Foundation ® (CRF). CRF ® is committed to igniting ...
Forbes

Inference At The Edge: How The World’s Networks Will Need To Respond As AI Advances

When you ask an artificial intelligence (AI) system to help you write a snappy social media post, you probably don’t mind if it takes a few seconds. If you want the AI to render an image or do some ...
SiliconANGLE

D-Matrix introduces AI network accelerator card for ultra-low-latency inference

Artificial intelligence computing infrastructure startup d-Matrix Corp. today unveiled a custom network card named JetStream designed from the ground up to support high-speed, ultra-low-latency AI ...
IEEE

Experimental Demonstration of Stochastic Bayesian Inference Using Müller C-Elements

Abstract: Naïve Bayesian inference enables classification or prediction of an event given observations of potentially contradictory evidences, and is particularly intriguing in power-limited contexts ...