Artificial intelligence startup Fundamental Technologies Inc. launched today with $255 million in initial funding from a group of prominent investors. The company raised the bulk of the capital ...

Fundamental, an AI company that has built its most powerful Large Tabular Model ("LTM") to drive predictions from enterprise data, announced today it is emerging from stealth with $255M in funding.

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 ...

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 ...

Microsoft has moved its Model Context Protocol (MCP) support for Azure Functions to General Availability, signaling a shift toward standardized, identity-secure agentic workflows. By integrating ...

A key task in Spoken Language Understanding (SLU) is interpreting user intentions from speech utterances. This task is considered to be a classification problem with the goal of categorizing a given ...

Tabular artificial intelligence startup Prior Labs GmbH today announced a new foundation model that can handle millions of rows of data to give enterprises a way to understand and use their most ...

When I loaded a saved pkl model directly and predicted the test data (model = pickle.load(f); test_logit = model.predict(N_test)), the mae is different from the one based on method.predict(test_data, ...

The new managed functions will let enterprises apply LLM reasoning to structured and unstructured data directly in SQL, eliminating prompt tuning and external tools. Google has boosted its BigQuery ...

Dr. Kasy is the author of the book “The Means of Prediction: How AI Really Works (and Who Benefits).” Imagine applying for a job. You know you’re a strong candidate with a standout résumé. But you don ...

Your best data science team just spent six months building a model that predicts customer churn with 90% accuracy. It’s sitting on a server, unused. Why? Because it’s been stuck in a risk review queue ...