How 'Neolabs' are betting against the OpenAI model and what it means for founders

AI is moving faster and becoming more diverse than ever. The next competitive advantage may come from a new architecture.
IEEE

Model-driven Deep Learning for Massive Access in Internet of Things Networks

Abstract: In the context of massive machine-type communications (mMTC) within the Internet of Things (IoT), joint activity detection and channel estimation (JADCE) is a key challenge in enabling ...
Microsoft

Customize model-driven forms to leverage Copilot Studio content in your apps (Preview)

We’re excited to announce the public preview of two powerful new capabilities in Microsoft Power Apps: Agent APIs and Agent response component. These features were shown in the Microsoft Build session ...
Frontiers

RecovAir: Model-driven airline scheduling tool for disruption recovery

The Southwest Airlines scheduling crisis of December 2022 and its consequences have highlighted the importance of robust airline disruption management and recovery. A wide variety of approaches have ...
Journal of Medical Internet Research

Large Language Model–Driven Knowledge Graph Construction in Sepsis Care Using Multicenter Clinical Databases: Development and Usability Study

Background: Sepsis is a complex, life-threatening condition characterized by significant heterogeneity and vast amounts of unstructured data, posing substantial challenges for traditional knowledge ...
Microsoft

Introducing the data exploration agent to quickly find records using natural language in model-driven apps!

We are thrilled to announce the public preview of the data exploration agent, a powerful new tool designed to simplify the way you find records using complex filters. With the data exploration agent, ...
IEEE

Knowledge- and Model-Driven Deep Reinforcement Learning for Efficient Federated Edge Learning: Single- and Multi-Agent Frameworks

Abstract: In this paper, we investigate federated learning (FL) efficiency improvement in practical edge computing systems, where edge workers have non-independent and identically distributed (non-IID ...