As models converge, the enterprise edge in AI shifts to governed data and the platforms that control it

For most enterprises, that advantage in enterprise AI lives in unstructured data: the contracts, case files, product ...

The Magic 8 Ball In The Boardroom: The Problem With Trusting Patterned Outputs As If They're Analysis

They're using retrieval-augmented generation (RAG) systems pointed at internal repositories such as policy libraries, regulatory archives, contract databases and operational logs. This creates a ...

Anthropic Teams Up With Its Rivals to Keep AI From Hacking Everything

The AI lab's Project Glasswing will bring together Apple, Google, and more than 45 other organizations. They'll use the new ...

Unlocking Insight Through Custom Retrieval-Augmented Generation

One of the quietest advantages is the ability to make decades of institutional knowledge instantly actionable.​ ...

Matcha model makes drug candidate screening more than 30 times faster

Ligand Pro, founded by Skoltech professors and a Skoltech Ph.D. student, has presented Matcha, an AI-powered molecular docking model that performs virtual drug screening 30 times faster than the large ...
TechAnnouncer

Your Comprehensive Guide to Building a REST API in Python

All in all, your first RESTful API in Python is about piecing together clear endpoints, matching them with the right HTTP ...
Robohub

Resource-constrained image generation and visual understanding: an interview with Aniket Roy

In the latest in our series of interviews meeting the AAAI/SIGAI Doctoral Consortium participants, we caught up with Aniket ...