Manufacturing stands at a crossroads. On one path lies a widening skills crisis fueled by an aging workforce, lack of vocational programs, false job perceptions and changing skillsets. This road ends in constrained output, delayed digitization and loss of competitive edge. The other path embraces new paradigms for training powered by artificial intelligence.
Machine learning (ML) and artificial intelligence (AI) technologies, often collectively referred to as AI technologies, are among the most heavily invested areas in modern times. It is predicted that in the next few years, AI technologies and capabilities will be integrated into a large number of edge devices and autonomous systems, and cloud-based and generative AI services will continue to increase.
The artificial intelligence (AI) revolution has arrived. With the public release of applications such as ChatGPT, people have been able to experience firsthand the power and potential of deep neural networks and machine learning (ML).
When we talk about time-of-flight (ToF) technology, the most important thing to consider is embedded vision technology, which has changed dramatically over the years. From its first theoretical formation in the 1970s until today, the technology's leap forward has ushered in a new era of advanced imaging for autonomous mobile robots (AMR). The most common use of AMR is in industrial warehouses, where ToF technology plays a key role in helping robots sense their surroundings with optimal accuracy.
The newly launched ultra-compact and ultra-thin photoelectric sensor OS4 is only 20×12×4.1mm in size and 11mm in universal mounting hole spacing, which is suitable for installation in a narrow space. It provides compact photoelectric sensor solutions for 3C, electronics, semiconductors, lithium, mechanical arms, small equipment, etc.
Ams Osram, the world's leading optical solutions provider, announced a partnership with Teknique, a leading imaging technology and machine vision solutions provider, to help customers quickly bring 2D/3D camera systems to market by combining Amos Osram's advanced sensor and transmitter components with Teknique's SoM product family.
Osram's new ambient light/proximity sensor TCS3720 has higher sensitivity and signal-to-noise ratio, and maintains excellent measurement performance under the new low transmittance OLED screen; can be used without compromising display management or proximity sensing capabilities It meets the expectations of mobile phone manufacturers for extremely high display performance and can reliably support a 5cm proximity sensing range.
The new flagship Immortalis GPU will significantly optimize the Android gaming experience and debut hardware-based ray tracing capabilities. The latest Armv9 CPU brings peak and efficiency performance to a whole new level. The new Arm Total Compute Solutions Level of performance, efficiency, and scalability requirements for the specialized processing needs of various consumer device markets
IAR Embedded Workbench for Arm supports the new Arm Cortex-M85 processor to help developers create powerful Embedded development solutions for the future of the Internet of Things, smart home and AI/ML applications. In the latest versions, these tools also support Arm Cortex-M custom instructions. For efficient automated workflows, the IAR Build Tool (Arm) enables cross-platform frameworks and large-scale deployment of critical software builds and tests.
Many power sources, especially offline ones, require low standby power. For power levels below 100 W, the most cost-effective isolated topology is flyback because it requires the fewest components. Flyback converters typically produce multiple secondary outputs, which require relatively precise tuning. This article describes the challenges of achieving a well-regulated output voltage while still achieving low standby power consumption.
