Edge intelligence has been a hot topic in the embedded systems world for several years, but the growing awareness and proliferation of generative AI has brought more attention to machine learning (ML) and artificial intelligence (AI). We have gained an edge at this year's Embedded World 2024 trade fair in Nuremberg.

At this trade show and conference, keynotes from AMD and Analog Devices will focus on embedded AI, and companies like Arm, the newly rebranded Altera, and many others will demonstrate new products and solutions targeting edge intelligence. Did. “Anything that can be intelligent is going to be intelligent,” Altera CEO Sandra Rivera said in an interview on the show floor, while Arm's IoT said Paul Williamson, senior vice president. This year's embedded world is all about AI at the edge. Daniel Cooley, his CTO at Silicon Labs, emphasized the presence of machine learning (ML) everywhere at the show and said his goal is to put his AI inference on battery. I did. Also, his CEO of ADLINK Technology, Jim Liu, spoke about the continuing trend of incorporating more and more intelligence into edge devices.
In industrial automation, Fiona Tracey, Managing Director of Industrial Automation at Analog Devices, said that this includes making factory software configurable to enable flexibility and enable more real-time awareness in factories. We talked about key trends that rely on intelligence.
Meanwhile, Rob Oshana, senior vice president of Analog Devices' Software and Security Group, is primarily focused on reducing technology complexity around software and using open source hardware abstraction layers to We talked about enabling interoperability between parts and digital parts.
A series of video interviews will help you understand what these executives have to say. Check it out below. You can watch the interview below.
- Paul Williamson, Senior Vice President, Arm IoT
- Daniel Cooley, Silicon Labs CTO
- Jim Liu, ADLINK Technology CEO
- Fiona Treacy, Managing Director, Industrial Automation, Analog Devices
- Rob Oshana, Senior Vice President, Software and Security, Analog Devices
paul williamson, arm
Paul Williamson, senior vice president of IoT at Arm, said this year's embedded world is all about AI at the edge. He also talks about the launch of the new Ethos-U85, market challenges in AI adoption, the rapid pace of innovation in AI, and the importance of software and ecosystems. Williamson also said there is a lot of interest in what can be done using large-scale language model approaches on edge devices.
Daniel Cooley, Silicon Labs CTO
Silicon Labs CTO Daniel Cooley will be highlighting machine learning (ML) throughout the show and talking about the company's latest chip, the xG26. In recent weeks, he has noted that his AI inference has been a hot topic in the industry, and said his goal is to put inference into batteries. “How do we put wake word detection on the battery?” he said. He added that there is a need in the market for many such applications, from anomaly detection to people counting. He also talks about how IoT security is important for scalability, partnerships like his recently announced Arduino, and how Matter is starting to consider some mainstream products. He also noted that the way we interact with technology is changing, saying: This is where the rich interface really comes into play. ”
Jim Liu, ADLINK Technology
Jim Liu, CEO of ADLINK Technology, spoke about the continuing trend of incorporating more and more intelligence into edge devices, and the need to do this sustainably, especially as AI is expected to consume more and more power. Let's talk about sex. This means delivering AI at peak performance. Low power consumption is the key. To do that, he said, more RISC processor-based solutions are needed, not just CISC. He emphasizes the need for more stacks, such as middleware and software, to be part of the solutions offered to customers. In conclusion, he said that this does not only provide brains and intelligence, but also a human-machine interface, which is why the relationship with AUO is important. “Our goal is to provide a module with AI along with computing power, display, and software,” explains Liu.
Fiona Tracey, Analog Devices
Fiona Treacy, Managing Director of Industrial Automation at Analog Devices, highlights various aspects of three major trends in industrial automation today: 1) Improving manufacturing sustainability. 2) Achieve flexibility by making factory software configurable. 3) Improved real-time awareness in factories. She also talks about some of the challenges she sees with customers in factory automation, opportunities for new factory installations including biopharmaceuticals, and challenges in retrofitting existing factories. She says customers are driving demand for sensorization and intelligence deployment at the edge.
Rob Oshana, Analog Devices
Rob Oshana, senior vice president of Analog Devices' Software and Security Group, talks about reducing technology complexity. For example, using a hardware abstraction layer to enable interoperability between many analog parts and many digital parts is achieved using a common open source hardware abstraction layer such as Zephyr. It's a method. He talks about the benefits of open source for promoting interoperability. “It's at the top of the stack that we believe we can differentiate going forward,” he said. “Single-die multi-markets will be key, allowing companies to manufacture fewer devices and do more with software.” .
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