Apple

Apple ML Researchers Develop ‘Neo’: A Visual Analytics System That Enables Machine Learning Practitioners To Generalize Confusion Matrix Visualization to Hierarchical and Multi-Output Labels

This Article Is Based On The Research Paper 'Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels'. All Credit For This Research Goes...

Apple ML Research: Private On-Device Machine Learning to Recognize People in Photos

This research summary articles is based on the article from Apple ML team 'Recognizing People in Photos Through Private On-Device Machine Learning' Please don't forget...

Researchers from U Texas and Apple Propose a Novel Transformer-Based Architecture for Global Multi-Object Tracking

This research summary article is based on the research paper 'Global Tracking Transformers'. Multi-object tracking aims to locate and track all objects in a video...

Apple ML Researchers Introduce ‘MobileViT’: A Light-Weight And General-Purpose Vision Transformer For Mobile Devices

To learn visual representations, self-attention-based models, particularly vision transformers, offer an alternative to convolutional neural networks (CNNs). ViT breaks an image into a series...

Apple ML Researchers Introduce ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Understanding indoor 3D scenes are becoming increasingly important in augmented reality, robotics, photography, games, and real estate. Many state-of-the-art scene interpretation algorithms have lately...

Apple Researchers Propose A Method For Reconstructing Training Data From Diverse Machine Learning Models By Ensemble Inversion

Model inversion (MI), where an adversary abuses access to a trained Machine Learning (ML) model in order to infer sensitive information about the model's...

Apple AI Researchers Propose ‘Plan-then-Generate’ (PlanGen) Framework To Improve The Controllability Of Neural Data-To-Text Models

In recent years, developments in neural networks have led to the advance of data-to-text generation. However, their inability to control structure can be limiting...

A New Apple AI Study Investigates Whether Self-Supervised and Supervised Methods Learn Similar Visual Representations

Self-supervised learning (SSL) is an ML technique that allows computers to predict unknown inputs using observed inputs. One essential goal for self-supervised learning is...

Apple’s Machine Learning Team Introduces ‘GSN’, A Generative Model Which Learns to Synthesize Radiance Fields of Indoor Scenes

When it comes to the spatial understanding of a scene when observed from any viewpoint or orientation, most geometry and learning-based approaches for 3D...

Apple’s Machine Learning Team Introduces ‘Hypersim’: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding

The computer vision community has been eager to find a way for computers and humans alike to be able to understand the complexity of...

Apple Explains Its New On-Device Machine Learning Methods To Recognize People In Photos With Extreme Poses, Accessories Correctly, Or Even Occluded Faces

Photos are an integral way for people to browse, search, and relive life's moments with their friends and family. Photos on your apple devices...

Apple’s Machine Learning Researchers Have Developed A No-Code AI Platform Called ‘Trinity’ For Complex Spatial Datasets

Apple's machine learning research team has developed a no-code Artificial Intelligence (AI) platform called Trinity. This AI is designed to enable machine learning researchers...

Nvidia AI Releases Minitron 4B and 8B: A New Series of Small Language Models...

0
Large language models (LLMs) models, designed to understand and generate human language, have been applied in various domains, such as machine translation, sentiment analysis,...

Arcee AI Introduces Arcee-Nova: A New Open-Sourced Language Model based on Qwen2-72B and Approaches...

0
Arcee AI introduced Arcee-Nova, a groundbreaking achievement in open-source artificial intelligence. Following their previous release, Arcee-Scribe, Arcee-Nova has quickly established itself as the highest-performing...

H2O.ai Just Released Its Latest Open-Weight Small Language Model, H2O-Danube3, Under Apache v2.0

0
The natural language processing (NLP) field rapidly evolves, with small language models gaining prominence. These models, designed for efficient inference on consumer hardware and...

The Next Big Trends in Large Language Model (LLM) Research

0
Large Language Models (LLMs) are rapidly developing with advances in both the models' capabilities and applications across multiple disciplines. In a recent LinkedIn post,...

CaLM: Bridging Large and Small Language Models for Credible Information Generation

0
The paper addresses the challenge of ensuring that large language models (LLMs) generate accurate, credible, and verifiable responses by correctly citing reliable sources. Existing...

Recent articles

🐝 FREE AI WEBINAR: A Synthetic Data Deep Dive (July 30 2024)

X