Navigation is a fundamental skill for any visually-capable organism, serving as a critical tool for survival. It enables agents to locate resources, find shelter, and avoid threats. In humans, ...

The landscape of vision model pre-training has undergone significant evolution, especially with the rise of Large Language Models (LLMs). Traditionally, vision models operated within fixed, predefined ...

A foundation model refers to a pre-trained model developed on extensive datasets, designed to be versatile and adaptable for a range of downstream tasks. These models have garnered widespread ...

On the path to achieving artificial superhuman intelligence, a critical tipping point lies in a system’s ability to drive its own improvement independently, without relying on human-provided data, ...

While large language models (LLMs) dominate the AI landscape, Small-scale Large Language Models (SLMs) are gaining traction as cost-effective and efficient alternatives for various applications.

In a new paper Wolf: Captioning Everything with a World Summarization Framework, a research team introduces a novel approach known as the WOrLd summarization Framework (Wolf). This automated ...

Apple researchers conducted a systematic study of the computational bottlenecks and cost-efficiency of training SLMs. Their work evaluates training strategies across diverse cloud infrastructure ...

An Apple research team introduces the foundation language models developed to power Apple Intelligence features. These models include a ∼3 billion parameter model optimized for efficient on-device ...

Consistency models (CMs) are a cutting-edge class of diffusion-based generative models designed for rapid and efficient sampling. However, most existing CMs rely on discretized timesteps, which ...