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AI in Manufacturing The gap between finding information and using it Megan Wallin-Kerth Mon, 04/20/2026 - 12:02...
Manufacturing had long relied on fixed schedules and manual control. Inventories were adjusted following shortages. Machines were repaired only after they broke down. Production go...
Manufacturing is at an inflection point. As per Forbes, unplanned downtime costs industrial sectors more than $50 billion a year. Quality defects account for up to 20% of total pro...
Manufacturers have long understood the promise of AI’s potential, especially for improving product quality, growing employee productivity, and reducing errors on the plant floor.
As AI moves beyond software, a new platform connects data, models, and machines to enable real world deployment of intelligent robotic systems. AGIBOT has introduced a new generati...
By Cathy Rose A. Garcia, Editor-in-Chief CHICAGO – Developments in artificial intelligence (AI) are accelerating at exponential rates, and companies are expected to adopt AI at a f...
AI workflows for manufacturing need to be deployed quickly. Quality control systems, predictive maintenance tools, and supply chain optimization algorithms may be going live, yet c...
Manufacturers increasingly want to use artificial intelligence (AI) and advanced analytics to improve quality and reduce waste.
Factories succeed with AI when workers help shape it, learn it on the job, and are measured by real performance.
For the longest time, a large number of manufacturers have struggled to understand how AI can impact their business. Now, as these businesses have begun to understand where AI can...
Manufacturing leaders met to discuss how Apple's program is changing how businesses operate, including a push for AI in supply chains. (via Cult of Mac - Your source for the latest...
- - • With 94% of manufacturers increasing AI investment in 2026, Lenovo enables the shift from pilot to production with solutions already delivering measurable gains in cost,...
As with all industries, agentic AI is already starting to have a dramatic impact on the automotive industry, particularly with regard to: improving the speed at which vehicles are...
Launchpad Build AI says its Manufacturing Language Model can democratize automation for high-mix, low-volume production with inputs from photos, videos, or CAD. The post Launchpad...
Where AI Is Delivering Value on the Shop Floor Today Think of high stakes and predictive flaws detected Megan Wallin-Kerth Thu, 05/14/202...
Global digital transformation company GFT Technologies has launched its new AI-powered robotic arms designed for automotive manufacturing. Building on the company’s existing work w...
Physical AI promises to transform manufacturing, but only if robotics developers and integrators avoid hype and address real scaling challenges, writes Fictiv. The post Why physica...
A recent report from Eclipse Automation delivered a finding that will frustrate anyone who has spent the last five years investing in factory technology. While automation is now wi...
Scalable AI Adoption in Manufacturing Through ERP Integrations AI adoption in manufacturing has the potential to transform operations, from smarter demand forecasting to automated...
Manufacturers scaling physical AI across industrial operations must rethink their edge computing to handle massive data loads. At Hannover Messe 2026 in Germany, NVIDIA and multipl...
PIA Automation, a provider of advanced automation solutions, today announced the launch of a new business segment, embodied AI and humanoid robotics, combining the company’s expert...
Apple and Michigan State University recently held the inaugural Spring Forum for the Apple Manufacturing Academy, focused on how AI is being implemented across multiple manufacturi...
Apprentice.io announces the launch of A1, a first-of-its-kind, standalone artificial intelligence product engineered exclusively for the manufacturing industry.
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