Articles and News

Teledyne e2v, a Teledyne Technologies company and global innovator of imaging solutions, announces a new technology and industrial collaboration with Yumain, a leading AI vision solution provider serving a broad range of industrial applications.

AI can best be described as a collection of different technologies brought together to enable a system—a process, asset or machine—to act with intelligence. For businesses, that means helping a system sense, comprehend, perform and learn, most often with the goal of optimizing performance, accuracy and quality.

Canvass Analytics Inc., a global leader in industrial AI software, announced its AI platform has been deployed by two major energy companies to improve overall plant resiliency.

The global virtual event will explore the challenges and acceleration of digital transformation over three months.

Industrial sector customers on AWS use OPC UA-enabled tools and a portfolio of services that extend cloud functionality into industrial operations.

Monolith AI announces partnership with Siemens Digital Industries Software. Partnership to further accelerate design exploration through simulation, test and AI technologies.

Automation is well established in foundries, but companies also must take on digital transformation. The Viking Analytics / pour-tech AB partnership shows the potential Artificial Intelligence use in the metal industry.

At the height of the pandemic, the world was facing a state of emergency, the manufacturing industry was in crisis, and the global supply chain was on the brink of destruction. With factories in danger of being shut down worldwide and social distancing mandates in place, the demand for new technologies—and AI, in particular—skyrocketed.

Companies intend to use artificial intelligence and IoT to develop joint solutions to optimize operations for clients in manufacturing, logistics and supply chain.

Silicon Valley Robotics, the world’s largest cluster of innovation in robotics, announces the inaugural 'Good Robot Industry Awards, celebrating the robotics, automation and Artificial Intelligence (AI) that will help us solve global challenges.

Qualcomm Technologies, Inc., announced the Qualcomm® IoT Services Suite, which delivers comprehensive, end-to-end, IoT as a Service (IoTaaS) solutions to enable the digital transformation of smart cities and smart connected spaces globally.

Brian Imrie, managing director of adi Facilities Engineering, evaluates how technology has played a key role within the pharmaceutical maintenance strategy, and what changes are set to make a successful stay into the future.

ThroughPut Inc., the Industrial AI Supply Chain pioneer, today announced a strategic alliance with Macnica Networks Corp., a leading Japanese global technology distributor, to provide data-driven AI Software Solutions for end-to-end Supply Chain and Operations Excellence.

Deloitte recently reported in a survey on AI adoption in manufacturing that 93% of companies believe AI will be a pivotal technology to drive growth and innovation in the sector. However, the vast majority of manufacturing companies have to overcome a lot of barriers that impede digital transformation and AI initiatives.

FANUC America, the leading supplier of CNCs, robotics and ROBOMACHINEs, and Plus One Robotics, a leader in AI machine vision for robots in logistics, have successfully paired their industry-leading technologies to meet the needs of their mutual customers in e-commerce.

According to a latest report by an ESOMAR certified market research and consulting firm, global AI-enabled testing tools market revenues will grow at over 13% CAGR through 2030.

Teledyne Imaging, a division of Teledyne Technologies [NYSE: TDY] and global leader in vision solutions, is pleased to announce the successful conclusion of its multi-session virtual event held recently to introduce its newest and most innovative imaging solutions for machine vision.

Jim Chappell, the global head of AI and Advanced Analytics at AVEVA, shares how data centers can become more efficient, sustainable and robust by integrating AI.

AI will become an integral part of setting up and using AMRs, simplifying their deployment process and improving their workflow; AMR users will be empowered to make more informed decisions, even without technical expertise, and robots will become the first line of support, predicting when intervention is needed or automating troubleshooting.

AI-enabled computerised maintenance management system modernises operations planning, management and equipment failure prediction.