Metal processing with lasers and plasma releases many different pollutants into the ambient air. The Fraunhofer Institute for Material and Beam Technology IWS, together with partners, has developed a filter system that efficiently removes these substances from the air. The filter can be adapted to the various materials and substances released in each case. In the future, the technology will be used in other applications, such as additive manufacturing.
Yamaha Robotics Factory Automation section has appointed Growskills Robotics as its distributor in Portugal. The move strengthens support for enterprises seeking to modernise their processes using the Company’s portfolio of robots for light industrial applications.
MicroSys miriac embedded modules and platforms combined with Hailo-8 AI acceleration modules offer a high-performance, scalable embedded platform for AI processing at the edge, with applications in fields such as Industry 4.0, automotive and heavy machinery.
Field-wireable M8 signal cable connectors from binder support efficient and reliable installations in sensor and actuator applications. Featuring snap-in quick locking and now offered with 3 to 6 pins, they prove themselves in industrial applications that require reliable signal transmission and are subject to installation space constraints.
ProtectAM with Red Hat Enterprise Linux helps safeguard sensitive information across DoD networked 3D printers for distributed additive manufacturing. Stratasys Ltd. (NASDAQ: SSYS), a leader in polymer 3D printing solutions, today announced that the company has introduced a new data security solution to enhance the cybersecurity of additive manufacturing as its role in government and defense applications grows larger and more mission-critical.
Lattice Semiconductor Corporation (NASDAQ: LSCC), the low power programmable leader, today announced the company will deliver a presentation describing how the award-winning Lattice sensAI solution stack can simplify and accelerate development of Edge machine learning applications during the Valley Machine Learning and Artificial Intelligence (ValleyML AI) Expo 2021.
Gartner expects that by 2022 more than 50 per cent of enterprise-generated data will be created and processed outside the traditional data center or cloud. With the explosion of the Internet of Things (IoT), the amount of data devices collect is becoming so vast that it cannot all be stored and monitored in the cloud. This is why industry needs to invest in edge solutions.