AI in Manufacturing will help companies achieve higher productivity and cost effectiveness over a period. One of the major applications where AI is deployed in the manufacturing plants is Asset maintenance.
ABB and Verdigris Technologies have developed machine-learning algorithms to predict unplanned peaks in power consumption - and identify strategies to prevent them
The complexity of mineral processing and manufacturing plants - how Artificial Intelligence can help
Industry 4.0 encapsulates not only manufacturing but also mineral processing plants and the differences between these should be considered carefully in the deployment of 4.0 solutions such as Artificial Intelligence (AI).
Artificial Intelligence in manufacturing is achieving a wider degree of acceptance. Smart factories will drive $37 trillion in new value by 2025, giving rise to new research projects. The technology is now . . . the research is on the move.
AI is big business-US venture capital investment in the sector reached $6.6 billion in the first three quarters of 2018, compared to $3.9 billion in the same period the year before.
Security incidents occur when access and change management privileges are not strictly controlled and back-ups are not maintained. Overseeing proper operation and implementation of AI is similar to adhering to best practices in software protection.
World Economic Forum: A.I. and robotics will create almost 60 million more jobs than they destroy by 2022
Saheli Roy Choudhury for CNBC: The outlook for job creation is more positive today because companies better understand what kind of opportunities are available to them due to developments in technology, according to WEF.
Very few (less than 5%) of the 430 respondents surveyed have established an intelligent enterprise (IE) and nearly 35% either hadn't begun or had no plans to establish IE technologies such as AI and intelligent automation.
CRIQ will showcase Canada's first cyber-physical factory at the Montreal Manufacturing Technology Show
Participants will learn how Industry 4.0 projects operate and will be able to prototype their own digital projects before scaling them up for actual production.
Steel mills are rich in data, and learning algorithms only get better as they learn. Steel mill owners stand to improve their quality and margins dramatically from AI investment. AI can also reveal unexpected business opportunities as well as operational efficiencies.
John Hitch for Industry Week: IBM's Watson IoT sees all and might even know it all. In a new simulation, you can feel what it likes to have it working for you.
Rockwell Automation today announced its investment in The Hive, a Silicon Valley innovation fund and co-creation studio, to gain access to an ecosystem of innovators and technology start-ups with a focus on applications of artificial intelligence (AI) to industrial automation.
Jeremy C. Ownens for MarketWatch: Musk will put his machinery where his mouth is with Model 3, battery and solar panel production lines launching soon
Global X for Nasdaq: Recent technological advancements in robotics and artificial intelligence (AI) are disrupting a range of industries from manufacturing, to health care, defense, and transportation.
Sarah Kessler for Quartz: Machines, you may have heard, are coming for all the jobs. Robots flip burgers and work warehouses. Artificial intelligence handles insurance claims and basic bookkeeping, manages investment portfolios, does legal research, and performs basic HR tasks. Human labor doesn’t stand a chance against them—after the “automation apocalypse,” only those with spectacular abilities and the owners of the robots will thrive. Or at least, that’s one plausible and completely valid theory. But before you start campaigning for a universal basic income and set up a bunker, you might want to also familiarize yourself with the competing theory: In the long run, we’re going to be just fine. We’ve been here before. Cont'd...
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FAULHABER has added another extremely compact Motion Controller without housing to its product range. The new Motion Controller is ideal for integration in equipment manufacturing and medical technology applications. With 36 V and 3 A (peak current 9 A), it covers the power range up to approx. 100 W and is suitable for DC-motors with encoder, brushless drives or linear motors.