Semiconductor Engineering

Causal Inference for AMS Design (U. of Florida)

Interpretable Parameter Effects Analysis,” was published by the University of Florida. Abstract “Analog-mixed-signal (AMS) ...
Wall Street Journal

What Is Inference? Explaining the Massive New Shift in AI Computing

A significant shift is under way in artificial intelligence, and it has huge implications for technology companies big and small. For the past half-decade, most of the focus in AI has been on training ...
Reuters

Nvidia bets on AI inference as chip revenue opportunity hits $1 trillion

New revenue opportunity forecast marks big step-up from $500 billion seen through 2026 Nvidia unveils CPU, AI system based on Groq's technology to for inference computing Nvidia faces increased ...
Wall Street Journal

Amazon Announces Inference Chips Deal With Cerebras

Amazon Web Services plans to deploy processors designed by Cerebras inside its data centers, the latest vote of confidence in the startup, which specializes in chips that power artificial-intelligence ...
The Next Platform

We Need A Proper AI Inference Benchmark Test

Companies are spending enormous sums of money on AI systems, and we are now at a point where there are credible alternatives to Nvidia GPUs as the compute engines within these systems. Given the ...
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 ...
VentureBeat

AI inference costs dropped up to 10x on Nvidia's Blackwell — but hardware is only half the equation

Lowering the cost of inference is typically a combination of hardware and software. A new analysis released Thursday by Nvidia details how four leading inference providers are reporting 4x to 10x ...
TechCrunch

AI inference startup Modal Labs in talks to raise at $2.5B valuation, sources say

Modal Labs, a startup specializing in AI inference infrastructure, is talking to VCs about a new round at a valuation of about $2.5 billion, according to four people with knowledge of the deal. Should ...
publichealth.jhu

Biostatistics Dept. Seminar | Space-Time-Meta Causal Inference: A Weighting Perspective

Abstract: Causal inference with spatial, temporal, and meta-analytic data commonly defaults to regression modeling. While widely accepted, such regression approaches can suffer from model ...
Mongabay

Conservation programs must embrace causal evidence when evaluating impact (commentary)

A couple of seminal studies published almost 20 years ago found that conservationists needed to start examining whether their actions were actually causing the desired effects. Assessing conservation ...
IEEE

CiiNet: Self-Iterative Performance Optimization for Dynamic Networks Based on Causal Inference and Interpretable Evaluation

Abstract: Causal inference and root cause analysis play a crucial role in network performance evaluation and optimization by identifying critical parameters and explaining how the configuration ...