Meta AI Introduces Chameleon: A New Family of Early-Fusion Token-based Foundation Models that Set a New Bar for Multimodal Machine Learning

Generative AI for databases is a transformative technology that impacts how humans interact with technology. It has the potential to revolutionize database management for both data scientists and non-data scientists alike.

Researchers have created an AI that can rapidly and intelligently design robots without relying on human-labeled datasets. This AI compresses billions of years of evolution into seconds, operates on a lightweight computer, and generates completely new…

This article explores the significance of machine learning in generative AI.

This article discusses the combination of quantum computing properties with a classic Machine Learning technique called Support Vector Machine (SVM). The author explores the concept of SVM, the use of kernels for classification, and introduces quantum…

The KDD conference in Long Beach, CA showcased various topics, but the highlights were Large Language Models (LLMs) and Graph Learning. The LLM Revolution keynote by Ed Chi of Google discussed the ways LLMs are bridging…

Researchers from Carnegie Mellon University, Shanghai Jiao Tong University, and Honda Research Institute have developed the Open Whisper-Style Speech Model (OWSM), an open-source solution for transparent speech recognition training. OWSM replicates whisper-style training using publicly available…

We are launching Open X-Embodiment dataset, a resource for general-purpose robotics learning. With data from 22 robot types, the dataset allows for skills transfer across various robot embodiments. Additionally, we are releasing the RT-1-X, a trained…