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, ...

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.

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 ...

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 ...

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 ...

The field of text-to-image synthesis has advanced rapidly, with state-of-the-art models now generating highly realistic and diverse images from text descriptions. This progress largely owes to ...

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 ...