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dzone.com /1 month ago

The Reasoning Control Plane: The Missing Architectural Layer in Multi-Agent Systems

We have spent the last two years learning how to ground a single AI agent in enterprise data. That was the easy part. Coordinating a fleet of them turns out to be a different probl...

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robohub.org /1 week ago

Neurosymbolic planning using natural language communication for cooperative autonomous vehicles

Imagine you are driving toward an intersection. A truck parked on the corner blocks your view of a car speeding toward the intersection from the right. You can’t see it, but the ca...

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supplychainbrain.com /1 week ago

An AI Playbook for Your Journey to Autonomous Planning

For many supply chain organizations, putting artificial intelligence to work is proving to be a much bigger undertaking than simply adding a new piece of software.

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projectmanagertemplate.com /1 month ago

Autonomous Project Scheduling: How AI Is Transforming Project Planning

Autonomous project scheduling represents a shift from manually maintained project plans toward dynamic scheduling systems capable of evaluating dependencies, resources, constraints...

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martechseries.com /3 weeks ago

Synopsys Powers Autonomous Engineering with a Broad Portfolio of Long-Horizon Agents and Autopilot Platform

Open and Secure Synopsys Autopilot Platform Accelerates Engineering Productivity, Improves Design Quality, and Achieves Faster Closure Across Silicon to Systems Synopsys Autopilotâ...

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planetizen.com /2 days ago

When AI goes rouge: what planners need to know

When AI goes rouge: what planners need to know Zachary Whalen Thu, 10/22/2026 - 05:00 10 minutes

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simplilearn.com /1 month ago

Hidden Technology Behind Autonomous AI Explained | Simplilearn

TL;DR: Autonomous AI relies on more than an LLM. VillainNet shows how attackers could poison a rarely activated subnetwork inside an adaptive SuperNet, hide malicious behavior duri...

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bioengineer.org /1 month ago

Obstacle-aware event-triggered formation control for nonholonomic mobile robots

When a fleet of wheeled robots must sweep through a warehouse, an orchard, or a disaster site as a coordinated unit, the math problem behind the choreography is deceptively hard. E...

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testmuai.com /1 month ago

Autonomous Test Orchestration: How Agents Decide What Runs

Autonomous test orchestration lets an agent decide what runs, where, and what broke. See the four decisions, a working config, and which calls to keep gated.

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dzone.com /3 weeks ago

The Agent Changed Its Plan Mid-Run: Reconciling AI Decisions With Completed Temporal Activities

An AI agent rarely follows a long plan exactly as first proposed. Tool results expose missing facts, external systems change, policies arrive through human input, and a model may d...

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freightwaves.com /1 month ago

Autonomous Freight Needs to Solve the Predictability Problem

FreightWaves and Waabi are hosting a free Sept. 29 webinar on how autonomous trucking is moving from pilot programs to predictable, scalable freight capacity. Register now to learn...

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testmuai.com /1 month ago

Planner, Generator, Evaluator: Agentic AI Architecture

Agentic AI architecture splits planner, generator, and evaluator roles. Why a generator cannot grade its own output, and how to wire an independent evaluator.

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supplychainbrain.com /3 weeks ago

From Automation to Autonomy: How Physical AI is Reshaping Warehouse Operations

Warehouse managers can plan for a lot of things. They can forecast seasonal demand, optimize inventory levels and redesign workflows to improve efficiency. But what they can't plan...

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cloud.google.com /1 week ago

Architecting autonomy: A design pattern for high-compute, governed agents in biotech

In production systems today, most AI agents operate as lightweight dispatchers. They parse a prompt, make an API call, retrieve a record, and hand back control. Their execution is...

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dronelife.com /2 weeks ago

Smarter Drone Searches May Require Less Replanning, Not More

New research finds that autonomous vehicles can gain most of the benefits of adaptive route planning with only a few course corrections For an autonomous drone searching for a miss...

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digitalthoughtdisruption.com /1 month ago

Bounded AI Control Loops for Hybrid Cloud Operations

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robohub.org /1 month ago

Exploring the Moon will require rovers that can think for themselves – an upcoming NASA mission will test whether they c...

By Wanjiku Chebet Kanjumba, University of Florida NASA is planning to send three small rovers to the Moon with a single instruction: Work out among yourselves how to explore a patc...

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towardsdatascience.com /3 weeks ago

How to Build a Control Plane for AI Agents

Giving an LLM permission to act, in 9 steps The post How to Build a Control Plane for AI Agents appeared first on Towards Data Science.

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cleantechnica.com /2 weeks ago

Preparing for the Unexpected: A New Framework for AV Incident Management Exercises

Every driver — human or autonomous — can encounter the unexpected. The best time to work out how to respond to an emergency is before it happens. Automated vehicles operate in dyna...

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supplychaindive.com /5 days ago

Unlocking the autonomous supply chain: Why execution data has to feed the plan

Ditch the war room. Build a supply chain that learns and adapts autonomously.

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rutgerblom.com /1 month ago

When AI Agents Design and Build Infrastructure

A VCF 9.1 lab experiment with separate AI architect and implementation agents, exploring how agentic workflows handle design, implementation, real

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news.usni.org /1 month ago

Autonomous Aircraft Executes Mission Plan in Collaborative Tool Test, Navy Says

The U.S Navy recently demonstrated that an autonomous aircraft can receive a mission plan and execute that mission as part of the Collaborative Autonomy Mission Planning (CAMP) too...

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projectmanagertemplate.com /1 month ago

The History of Agentic AI: From AI Agents to Autonomous Systems

The history of agentic AI is a progression spanning more than seven decades of artificial intelligence research. Symbolic reasoning established computational problem solving, exper...

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newatlas.com /1 week ago

MIT’s drone brain neutralizes hazards in disaster zones

Disaster zones are terrible places to follow a preplanned route. Maps can be incomplete, debris can move, and the next hazard may arrive from any direction at any time. MIT’s new n...

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