The Earth's environment is in code-red status, but new digital solutions can meet the challenge.

Plant controller systems based on static models are not responsive enough to adapt to changes and prescribe actions to insure optimal outcomes. As a result, set points are adjusted every now and then by operators who hunt for good conditions.

Four Ways AI Will Change Manufacturing in 2022

AI and machine learning offer manufacturing a chance for new and stable growth. When paired with traditional automation, these technologies can improve efficiency and decrease costs.

Transforming Legacy Manufacturing Enterprises With AI on the Edge

This article discusses how legacy manufacturing enterprises can harness the latest technologies, to optimize factory operations without having to ramp up infrastructure investment.

AI & Machine Vision based Automated Weld Defect Detection for Manufacturing Industry

Purpose-built solution AI and machine vision solution on Intel® edge processors are helping manufacturers successfully adapt the defect detection technology and expand it to address broader Industry 4.0 use-cases.

AI for End-to-End Quality

Artificial intelligence (AI) is gaining favor as a solution for quality problems, but many manufacturers struggle with the perceived cost and complexity of implementing new technology.

AIoT and Edge Analytics: a Powerful Combination

Swedish philosopher Nick Bostrom once said, "machine intelligence is the last invention that humanity will ever need to make". AI decision making, with real time communication and data analytics, has the ability to transform the way manufacturers understand machines.

One Hour Makes All the Difference: Automate Quickly and Effectively With AI

Automation helps companies achieve greater flexibility and planning reliability, even in the case of multi-variant production. One factor that deters many companies from switching to automated processes, however, is time.

Using AI to Enforce Safety Compliance in Manufacturing

Leveraging artificial intelligence (AI), the manufacturing industry can protect workers better and ensure that all employees wear gear to stay compliant with Personal Protective Equipment (PPE) protocols to avoid costly penalties.

Industrial AI and Robotics Controller System in Waste Recycle Industry

A recycling center customer was looking for a high-performance, industrial-grade Artificial Intelligence (AI) solution that could successfully function in harsh environments. The customer needed an automated solution to help identify certain materials on the recycling line.

5 Ways Machine Learning Is Improving Manufacturing

Artificial intelligence (AI) is one of the fastest-growing technologies in the business world today. AI is a broad umbrella, covering many specific technologies, and machine learning is one of the most promising of these.

The Impact of AI and Machine Learning Technologies in Manufacturing

New data- and ML-based business models will become more commonplace, so early adopters will have a competitive advantage. Machine learning will happen both in the cloud and on the edge, i.e., directly on or next to production machines and sensors.

Challenges of AI

As the benefits of main AI elements such as Machine Learning, Data Analysis, and Predictive Analysis are undeniable, what are the few biggest challenges that companies may face while introducing AI to their day-to-day operations?

Why CNC Machining and AI Make a Perfect Match

What's next for the world of CNC operators? An increasing move to incorporate artificial intelligence, or AI, into operations. Over the next several years, CNC machining could see something of a revolution that includes machines that respond to Alexa-like voice commands.

The Next Era of Automation Is Intelligence

We are entering a new manufacturing era defined by AI, machine learning and vision, enabling us to teach machines to adapt and learn plans and move us toward a true "Lot Size 1" utopia. Automation's next era will be defined not around volume, but around intelligence.

Digital Manufacturing and IIoT: A Platform for Success

To truly maximize IIoT, manufacturers need a single solution that supports scalable-IIoT deployments and creates a collaborative environment that's data-driven and provides transparency across the entire production process.

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The RTS Hypervisor enables work-load consolidation of both real-time and non-real-time operating systems on a single x86 based platform. Unlike traditional virtualization, we partition and allocate the hardware for each work-load and provide a "privileged" mode for real-time operating systems that guarantee zero impact to determinism while adding zero jitter. This is instrumental for work-loads such as robotic controllers managing motion control where minimum jitter is required. And, our hypervisor is designed for easy setup and configuration for any work-load consolidation scenario. This equates to deterministic real-time applications taking advantage of all the benefits of virtualization immediately, without costly implementation projects.