Scientific Research Publishing

A Lightweight MobileViT with a Dual-Path Attention Mechanism for MRI Image Classification ()

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...
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. Soroosh Khodami discusses why we aren't ready ...
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 ...
GitHub

JAX à la Stan

We introduce a methodology for coding Bayesian statistical models in Python with JAX that follows the design pattern of the Stan probabilistic programming language. This allows a direct, line-by-line ...
GitHub

Segmentation fault on shutdown when using Python backend metrics

When shutting down the Triton Inference Server with Python backend while using Triton metrics, a segmentation fault occurs in python_backend process. This happens because Metric::Clear attempts to ...
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 ...
Semiconductor Engineering

AI Inference Needs A Mix-And-Match Memory Strategy

Interactive LLMs (chat, copilots, agents) with strict latency targets Long‑context reasoning (codebases, research, video) with massive KV (key value) cache footprints Ranking and recommendation models ...
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 ...
blockchain

Karpathy Releases Minimal GPT: Train and Inference in 243 Lines of Pure Python — Latest Analysis and Business Implications

According to Andrej Karpathy on X, he released a 243-line, dependency-free Python implementation that can both train and run a GPT model, presenting the full algorithmic content without external ...
Rock Paper Shotgun

Discord roll out global age verification system, including an "age inference" model that runs in the background

I hate Discord with the intensity of a supernova falling into a black hole. I hate its ungainly profusion of tabs and voice channels. I regret its cybersecurity breaches. I resent that the PRs use it ...
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 ...