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

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...
MedCity News

Federated Models Offer New Paradigm for Data Monetization in Healthcare

The ability to collect data from electronic medical records, medical images, devices, diagnostics, wearables and apps means that more real world data (RWD) is available to be analyzed and derive ...

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

Fundamental has built a new foundation model to solve an old problem: how to draw insights from the huge quantities of ...

AI Will Finally Break How Data Is Stored—Or Break Your Data Center

In this new construct, storage is now the foundational data conductor, and organizations that treat storage as "just there" will watch their AI ambitions—and their budgets—collapse under the weight of ...
Geeky Gadgets

Using Excel PowerPivot for data modeling in spreadsheets

If your are wondering how to handle large datasets and complex calculations in your spreadsheets. This is where MS Excel PowerPivot comes into play. PowerPivot is an advanced feature in Excel that ...
TechCrunch

Making AI models ‘forget’ undesirable data hurts their performance

So-called “unlearning” techniques are used to make a generative AI model forget specific and undesirable info it picked up from training data, like sensitive private data or copyrighted material. But ...
The Economist

Training AI models might not need enormous data centres

Once, the world’s richest men competed over yachts, jets and private islands. Now, the size-measuring contest of choice is clusters. Just 18 months ago, OpenAI trained GPT-4, its then state-of-the-art ...
University of California

Pioneering a way to remove private data from AI models

A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial intelligence models—without needing access to the original training data.