Business Wire

Aria Networks launches the 'Network that Thinks'

Aria Networks announces the general availability of its Deep Networking solution – Designed from the ground up for the AI factory era to maximize Model Flop Utilization and token efficiency, a ...
GitHub

Be Bayesian my Friend 2.0.

The course is structured in four main parts, covering the full Bayesian workflow: from probabilistic reasoning to advanced modeling. BAYESIANLEARNING/ │ ├── PART-I/ │ ├── theory/ │ │ └── ...
InfoQ

Google Researchers Propose Bayesian Teaching Method for Large Language Models

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Andrew Harmel-Law and a panel of expert ...
Network World

Arrcus targets AI inference bottleneck with policy-aware network fabric

As AI workloads shift from centralized training to distributed inference, the network faces new demands around latency requirements, data sovereignty boundaries, model preferences, and power ...
Forbes

Applying AI To Biology: What’s Missing?

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. We’re at an inflection point with artificial intelligence today, and it’s filtering into ...
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 ...
Network World

Microsoft launches its second generation AI inference chip, Maia 200

Calling it the highest performance chip of any custom cloud accelerator, the company says Maia is optimized for AI inference on multiple models. Signaling that the future of AI may not just be how ...
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 ...
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 ...
IEEE

High-Performance Bayesian Neural Network Inference Accelerator Based on FPGA

Abstract: Bayesian Neural Networks (BNNs) offer robust uncertainty estimation capabilities through probabilistic modeling, yet their prohibitively high computational complexity and resource ...