Categories: AI/ML News

AI framework rooted in cognitive science could complete tasks more efficiently

In recent years, computer scientists have developed a wide range of artificial intelligence (AI) models that can rapidly recognize patterns in data, generate content and solve other computational problems. Many of these AI systems are based on deep neural networks (DNNs), brain-inspired computational models that can make predictions based on specific data, or LLMs, models that can process human language, answer queries and generate text.

A model that can realistically insert humans into images

The recent advent of generative models, computational tools that can generate new texts or images based on the data they are trained on, opened interesting new possibilities for the creative industries. For example, they allow artists and digital content creators to easily produce realistic media content that integrates elements of…

May 25, 2023

In "AI/ML News"

AI model edits can leak sensitive data via update ‘fingerprints’

Artificial intelligence (AI) systems are now widely used by millions of people worldwide, as tools to source information or tackle specific tasks more rapidly and efficiently. Today, some of the most used are large language models (LLMs), computational models trained on large collections of texts that can process and generate…

February 22, 2026

In "AI/ML News"

Duo-LLM: A Framework for Studying Adaptive Computation in Large Language Models

This paper was accepted at the Efficient Natural Language and Speech Processing (ENLSP) Workshop at NeurIPS 2024. Large Language Models (LLMs) typically generate outputs token by token using a fixed compute budget, leading to inefficient resource utilization. To address this shortcoming, recent advancements in mixture of expert (MoE) models, speculative…

November 19, 2024

In "FAANG"

AI Generated Robotic Content