MongoDB combines database and embedding models for simplified AI development

MongoDB said additional partners and offerings are expected to be added to the startup program over time.
IEEE

A Data and Model-Driven Deep Learning Approach to Robust Downlink Beamforming Optimization

Abstract: This paper investigates the optimization of the probabilistically robust transmit beamforming problem with channel uncertainties in the multiuser multiple-input single-output (MISO) downlink ...
GitHub

MITRE ATT&CK® Data Model

The ATT&CK Data Model (ADM) provides a type-safe, object-oriented interface for working with MITRE ATT&CK datasets. Built on STIX 2.1 compliance, it uses Zod schemas and TypeScript types to ensure ...
IEEE

Data-Driven Optimal Output Regulation for Continuous-Time Linear Systems via Internal Model Principle

Abstract: The data-driven techniques have been developed to deal with the output regulation problem of unknown linear systems by various approaches. In this article, we first extend an existing result ...
marktechpost

Meet LLMRouter: An Intelligent Routing System designed to Optimize LLM Inference by Dynamically Selecting the most Suitable Model for Each Query

LLMRouter is an open source routing library from the U Lab at the University of Illinois Urbana Champaign that treats model selection as a first class system problem. It sits between applications and ...