GitHub

SVG-T2I: Scaling up Text-to-Image Latent Diffusion Model

Important Note: This repository implements SVG-T2I, a text-to-image diffusion framework that performs visual generation directly in Visual Foundation Model (VFM) representation space, rather than ...
TechCrunch

Fundamental raises $255M Series A with a new take on big data analysis

An AI lab called Fundamental emerged from stealth on Thursday, offering a new foundation model to solve an old problem: how to draw insights from the huge quantities of structured data produced by ...
Business Wire

Fundamental Announces $255M in Funding and Publicly Launches its Most Powerful Large Tabular Model (LTM)

Through its proprietary LTM, ‘NEXUS’, Fundamental reveals the hidden language of tables to unlock trillions of dollars in enterprise value, while a strategic partnership with AWS accelerates adoption ...
VentureBeat

Fundamental emerges from stealth with first major foundation model trained for tabular data

The deep learning revolution has a curious blind spot: the spreadsheet. While Large Language Models (LLMs) have mastered the nuances of human prose and image generators have conquered the digital ...
Fast Company

Are LTMs the next LLMs? This new type of AI can do what large-language models can’t

A major difference between LLMs and LTMs is the type of data they’re able to synthesize and use. LLMs use unstructured data—think text, social media posts, emails, etc. LTMs, on the other hand, can ...
Scientific Research Publishing

A Hybrid CNN-LSTM Variational Autoencoder for Treatment Response Prediction in Synthetic Psychiatric Data ()

Treatment response prediction remains one of the most pressing challenges in precision psychiatry, where patient heterogeneity and complex biomarker interactions limit the reliability of conventional ...
Forbes

From Text To Tables: Why Structured Data Is AI’s Next $600 Billion Frontier

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. In the current wave of generative AI innovation, industries that live in documents and text ...
GitHub

A New Hybrid Model for Improving Outlier Detection Using Combined Autoencoder and Variational Autoencoder (AVE)

This repository contains the source code, scripts, and supplementary materials for the paper: "A New Hybrid Model for Improving Outlier Detection Using Combined Autoencoder and Variational Autoencoder ...
IEEE

GOIO: Generative Oversampling Approach to Class Imbalance and Overlap of Tabular Data

Abstract: Class imbalance, which is common in real-world classification tasks, often leads to biased models favoring majority classes. Data oversampling is a widely used strategy to address this issue ...