Nature

Orthology inference at scale with FastOMA

The surge in genome data, with ongoing efforts aiming to sequence 1.5 M eukaryotes in a decade, could revolutionize genomics, revealing the origins, evolution and genetic innovations of biological ...
Nature

Inference of phylogenetic trees directly from raw sequencing reads using Read2Tree

Current methods for inference of phylogenetic trees require running complex pipelines at substantial computational and labor costs, with additional constraints in sequencing coverage, assembly and ...
Forbes

Cerebras Now The Fastest LLM Inference Processor; Its Not Even Close

The company tackled inferencing the Llama-3.1 405B foundation model and just crushed it. And for the crowds at SC24 this week in Atlanta, the company also announced it is 700 times faster than ...
Forbes

Using Secure Inference To Protect Digital Whispers In AI Conversations

Imagine you're telling a secret to a friend. This might be seeking advice on a personal matter or professional help. Most of the time, you expect this conversation to remain private and away from ...
MIT Technology Review

Realizing value with AI inference at scale and in production

As organizations enter the next phase of AI maturity, IT leaders must step up to help turn promising pilots into scalable, trusted systems. In partnership withHPE Training an AI model to predict ...
ascopubs.org

Causal Inference in Oncology Comparative Effectiveness Research Using Observational Data: Are Instrumental Variables Underutilized?

In the article that accompanies this editorial, Lu et al 5 conducted a systematic review on the use of instrumental variable (IV) methods in oncology comparative effectiveness research. The main ...
Semiconductor Engineering

A Comprehensive Guide to Understanding AI Inference on the CPU

As AI continues to revolutionize industries, new workloads, like generative AI, inspire new use cases, the demand for efficient and scalable AI-based solutions has never been greater. While training ...
The Next Platform

Why AI Inference Will Remain Largely On The CPU

Sponsored Feature: Training an AI model takes an enormous amount of compute capacity coupled with high bandwidth memory. Because the model training can be parallelized, with data chopped up into ...
VentureBeat

How attention offloading reduces the costs of LLM inference at scale

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Rearranging the computations and hardware used to serve large language ...
SDxCentral

AI inference crisis: Google engineers on why network latency and memory trump compute

Google researchers have warned that large language model (LLM) inference is hitting a wall amid fundamental problems with memory and networking problems, not compute. In a paper authored by ...
The Motley Fool

These Super Stocks Could Be the Biggest Winners in the AI Inference and Agentic AI Economy

AMD's chiplet GPUs, meanwhile, pack in more memory, which makes them ideal for inference, which tends to be more memory-bound than processing-bound. With large GPU inference deals in place, the ...