IEEE

Dependency-Aware CAV Task Scheduling Via Diffusion-Based Reinforcement Learning

Abstract: In this paper, we investigate a dependency-aware task scheduling problem in connected autonomous vehicle (CAV) networks. Specifically, each CAV task consists of multiple dependent subtasks, ...
InfoQ

QConAI NY 2025 - Designing AI Platforms for Reliability: Tools for Certainty, Agents for Discovery

Aaron Erickson at QCon AI NYC 2025 emphasized treating agentic AI as an engineering challenge, focusing on reliability ...
The Information

Salesforce Executives Say Trust in Large Language Models Has Declined

Over the past year, Salesforce CEO Marc Benioff has touted his company’s main AI product, Agentforce, as a money saver for ...
diginomica

What if your security problem is really your data problem? Here's why Databricks is shifting the blame as it enters cybersecurity

Cybersecurity principles are simple, says Databricks' Field CISO. The hard part is doing them at scale across thousands of users and hundreds of applications. The company thinks its data platform – ...
Forbes

What Automation Tech Leaders Say You’re Getting Wrong About AI

The automation tech leaders building the systems that are enabling much of today’s AI-powered workflows describe how the markets are shifting as organizations and individuals learn how to implement AI ...
IEEE

Multiagent Deep Deterministic Policy Gradient-Based Computation Offloading and Resource Allocation for ISAC-Aided 6G V2X Networks

Vehicular communications in future sixth-generation (6G) networks are expected to leverage integrated sensing and communications (ISACs) and mobile edge computing (MEC) techniques. However, the rapid ...