For much of the AI industry’s tremendous growth over the last few years, companies believed their advantage came from owning better models, with the goal of investing heavily to own superior models.

Inevitable missing values in observational time series often hinder reliable data-driven modeling of complex systems across diverse domains. Recovery is essential yet challenging, particularly in high ...

We introduce GRouNdGAN, a gene regulatory network (GRN)-guided reference-based causal implicit generative model for simulating single-cell RNA-seq data, in silico perturbation experiments, and ...

The world is changing rapidly, and if businesses want to keep up, there is no alternative but to change with it. Customer behavior, market conditions, and the technological landscape are in a constant ...

Foundation models will form the basis of generative AI's future in the enterprise. This enables businesses to draw new connections across data types and expand the range of tasks that AI can be used ...

Decagon announced a partnership with Databricks on September 30, 2026 that pairs zero-copy data sharing between the two ...

Is it possible for an AI to be trained just on data generated by another AI? It might sound like a harebrained idea. But it’s one that’s been around for quite some time — and as new, real data is ...

Researchers affiliated with Glow Security, a startup whose backers include venture capital funds Sequoia and Greenoaks, have ...

A well-designed data model is the cornerstone of effective operational systems and BI and analytics applications that deliver business value by transforming enterprise data into a useful information ...

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 ...

Before Numeric, I was the first finance hire at a venture-backed startup. My first project was getting the company through a first audit. I spent months on it. Drafting policies, creating schedules, ...