The Inference Ceiling: Managing The Marginal Costs Of AI

The unbridled hype of the mid-2020s is finally colliding with the structural and infrastructure limits of 2026.

Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
InfoWorld

Multi-token prediction technique triples LLM inference speed without auxiliary draft models

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.
Geeky Gadgets

SteerLM a simple technique to customize LLMs during inference introduced by NVIDIA

Large language models (LLMs) have made significant strides in artificial intelligence (AI) natural language generation. Models such as GPT-3, Megatron-Turing, Chinchilla, PaLM-2, Falcon, and Llama 2 ...
Semiconductor Engineering

Review of Tools & Techniques for DL Edge Inference

A new technical paper titled “Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review” was published in “Proceedings of the IEEE” by researchers at University ...
TechRepublic

DeepSeek-GRM: Introducing an Enhanced AI Reasoning Technique

Researchers from DeepSeek and Tsinghua University say combining two techniques improves the answers the large language model creates with computer reasoning techniques. Image: Envato/DC_Studio ...
EurekAlert!

Newly funded research to develop defenses against wireless inference threats

NORMAN, Okla. – Song Fang, a researcher with the University of Oklahoma, has been awarded funding from the U.S. National Science Foundation to create training-free detection methods and novel ...