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 canvas, the structured, relational data that underpins the global economy — the rows and columns of ERP systems, CRMs, and financial ledgers — has so far been treated as just another file format similar to text or PDFs.That's left enterprises to forecast business outcomes using the typical bespoke, labor-intensive data science process of manual feature engineering and classic machine learning algorithms that predate modern deep learning.But now Fundamental, a San Francisco-based AI firm co-founded by DeepMind alumni, is launching today with $255 million in total funding to bridge this gap [...]

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venturebeat
Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model 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 canv [...]

Match Score: 190.44

venturebeat
Google's TabFM skips per-dataset training and still predicts on tables it's never seen

The vast majority of business data is tabular — living in data warehouses, CRMs, and financial ledgers — yet building a reliable model from it still means training a new one from scratch for every [...]

Match Score: 114.95

thenextweb
H2O.ai launches tabH2O, a foundation model that makes predictions from tabular data without any training

H2O.ai has unveiled tabH2O, a foundation model purpose-built for tabular data that can generate high-accuracy predictions from structured datasets using a single API call, with no model training requi [...]

Match Score: 71.86

venturebeat
Forget Fine-Tuning: SAP’s RPT-1 Brings Ready-to-Use AI for Business Tasks

SAP aims to displace more general large language models with the release of its own foundational “tabular” model, which the company claims will reduce training requirements for enterprises. The m [...]

Match Score: 68.65

venturebeat
Researchers say they trained a foundation model from scratch for about $1,500

Training a foundation LLM from scratch costs millions and requires internet-scale data — which is why most enterprises don't bother. Sapient thinks it has a cheaper path.To overcome this brute- [...]

Match Score: 59.91

venturebeat
OpenAGI emerges from stealth with an AI agent that it claims crushes OpenAI and Anthropic

A stealth artificial intelligence startup founded by an MIT researcher emerged this morning with an ambitious claim: its new AI model can control computers better than systems built by OpenAI and Anth [...]

Match Score: 56.15

venturebeat
Cursor's Composer 2 was secretly built on a Chinese AI model — and it exposes a deeper problem with Western open-source AI

The $29.3 billion AI coding tool just got caught with its provenance showing. When Cursor launched Composer 2 last week — calling it "frontier-level coding intelligence" — it presented t [...]

Match Score: 54.95

venturebeat
Alibaba's model never trained as an agent — and improved agent performance across seven benchmarks

Alibaba's Qwen team released Qwen-AgentWorld on Tuesday — two models trained not to act inside agent environments, but to predict what those environments return. The release covers seven domain [...]

Match Score: 52.62

venturebeat
Microsoft built Phi-4-reasoning-vision-15B to know when to think — and when thinking is a waste of time

Microsoft on Tuesday released Phi-4-reasoning-vision-15B, a compact open-weight multimodal AI model that the company says matches or exceeds the performance of systems many times its size — while co [...]

Match Score: 51.57