Assistive TechnologyDefense

Oshkosh Defense Unveils Multi-Mission Autonomous Vehicle Family for Army Modernization

Oshkosh Defense reveals its Family of Multi-Mission Autonomous Vehicles at the AUSA Annual Meeting, showcasing three production-ready autonomous platforms designed to support Army modernization priorities. The X-MAV, M-MAV, and L-MAV variants demonstrate scalable autonomy and payload versatility for contested environments.

Oshkosh Defense, a business unit of Oshkosh Corporation, is making a significant advancement in military vehicle technology with the introduction of its Family of Multi-Mission Autonomous Vehicles (FMAV). The unveiling occurs at the Association of the United States Army (AUSA) Annual Meeting & Exposition in Washington, D.C., highlighting the company’s commitment to supporting the U.S. Army‘s accelerated transformation efforts.

Meeting Army Modernization Priorities with Autonomous Solutions

Arts and EntertainmentAssistive Technology

** AI Agents Explained: What They Are and Why Autonomy Matters

** We keep hearing about AI agents, but what exactly are they? From simple chatbots to autonomous systems, understanding the spectrum of AI agency helps us build, evaluate, and govern these powerful tools safely. Explore the key components and autonomy classifications shaping AI’s future. **CONTENT:**

We keep talking about AI agents, but do we truly understand what they are? The term gets applied to everything from basic chatbots to sophisticated systems that independently research competitors and schedule strategy meetings. This ambiguity creates significant challenges for development, evaluation, and governance. If we can’t clearly define AI agents, how can we measure their success or ensure their safe implementation? Understanding the fundamental components and autonomy spectrum of these systems becomes crucial as they become more integrated into business operations and daily life.

Arts and EntertainmentCybersecurity

How Agentic AI Redefines Digital Trust and Accountability

Agentic AI systems that make independent decisions are forcing a fundamental rethinking of digital trust. As autonomous agents operate beyond human supervision, organizations must implement programmable, traceable trust models using proven cryptographic solutions.

Agentic AI is fundamentally redefining what digital trust means in enterprise environments. As artificial intelligence systems evolve from simple automation to genuine autonomy, organizations face unprecedented challenges in maintaining accountability, security, and control over systems that can make independent decisions and take actions without human prompting.

From Automation to Autonomous Agency