The Next PlatformOpinion

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 ...
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 ...
Frontiers

Situated learning and the problem of scientific inference

Challenging the dominant view of learning as abstract content internalization, Situated Learning Theory (SLT) reframed learning as a socially mediated, context-bound process and gained influence by ...
TechCrunch

Inference startup Inferact lands $150M to commercialize vLLM

The creators of the open source project vLLM have announced that they transitioned the popular tool into a VC-backed startup, Inferact, raising $150 million in seed funding at an $800 million ...
Semiconductor Engineering

Four Architectural Opportunities for LLM Inference Hardware (Google)

“Large Language Model (LLM) inference is hard. The autoregressive Decode phase of the underlying Transformer model makes LLM inference fundamentally different from training. Exacerbated by recent AI ...
SDxCentral

AI inferencing will define 2026, and the market's wide open

“I get asked all the time what I think about training versus inference – I'm telling you all to stop talking about training versus inference.” So declared OpenAI VP Peter Hoeschele at Oracle’s AI ...
Scientific Research Publishing

Linden, A., & Adams, J. L. (2011). Applying a Propensity Score-Based Weighting Model to Interrupted Time Series Data: Improving Causal Inference in Programme Evaluation ...

ABSTRACT: The objective of this study was to assess the contribution of insurance penetration to economic growth in the Democratic Republic of Congo (DRC) during the ...
IEEE

AViTMP: A Tracking-Specific Transformer for Single-Branch Visual Tracking

Abstract: Visual object tracking is a fundamental component of transportation systems, especially for intelligent driving. Despite achieving state-of-the-art performance in visual tracking, recent ...
IEEE

Wireless Network Topology Inference: From Theory to Practice

Abstract: This paper investigates the issue of wireless network topology inference via passive sensing of radio frequency (RF) signals without accessing their content. In non-cooperative scenarios, ...
unite

Why AI Inference, Not Training, is the Next Great Engineering Challenge

For the past decade, the spotlight in artificial intelligence has been monopolized by training. The breakthroughs have largely come from massive compute clusters, trillion-parameter models, and the ...