Categories: AI/ML News

Mixture-of-recursions delivers 2x faster inference—Here’s how to implement it

Mixture-of-Recursions (MoR) is a new AI architecture that promises to cut LLM inference costs and memory use without sacrificing performance.Read More

Mixture of Experts Architecture in Transformer Models

This post covers three main areas: • Why Mixture of Experts is Needed in Transformers • How Mixture of Experts Works • Implementation of MoE in Transformer Models The Mixture of Experts (MoE) concept was first introduced in 1991 by

July 2, 2025

In "AI/ML Research"

CLIP-UP: A Simple and Efficient Mixture-of-Experts CLIP Training Recipe with Sparse Upcycling

Mixture-of-Experts (MoE) models are crucial for scaling model capacity while controlling inference costs. While integrating MoE into multimodal models like CLIP improves performance, training these models is notoriously challenging and expensive. We propose CLIP-Upcycling (CLIP-UP), an efficient alternative training strategy that converts a pre-trained dense CLIP model into a sparse…

May 28, 2025

In "FAANG"

Using machine learning to find an optimal mixture of metals to create a desired alloy

A large team of researchers at the Max-Planck-Institut für Eisenforschung GmbH, working with colleagues from Technische Universität Darmstadt, Delft University of Technology and KTH Royal Institute of Technology, has found that it is possible to use machine learning to help metallurgists find the optimal mixture of metals to create a…

October 8, 2022

In "AI/ML News"

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