AI is quickly moving to the Edge … mostly. There are so many more things you can do when you keep your data at the Edge, including getting near-real-time results, reducing the external bandwidth, and requiring less power. And, of course, keeping your data on-prem helps keep it secure. That said, if you need extreme processing capabilities, you’ll likely need to go out to the Cloud. That’s also how you would share data amongst multiple physical locations.
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Sponsored by:
Select the session(s) you wish to attend and then complete the registration form on the righthand side of this page.
Sponsored by:
Thu, Sep. 19, 2024 · 8:00 am (PDT)
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Adding AI functionality to your Edge-based design requires a lot of forethought. For example, what exactly am I trying to accomplish using AI? And is that really the best way to achieve my results? Assuming you still want to deploy AI in your design, you can move on to the harder question, how do I do that? These questions and many more will be explored and answered during the AI Day Keynote Address.
Adding AI functionality to your Edge-based design requires a lot of forethought. For example, what exactly am I trying to accomplish using AI? And is that really the best way to achieve my results? Assuming you still want to deploy AI in your design, you can move on to the harder question, how do I do that? These questions and many more will be explored and answered during the AI Day Keynote Address.
Thu, Sep. 19, 2024 · 9:00 am (PDT)
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AI is now all around us. It can be found in nearly every facet of our lives. And the industrial, automation, robotics, and manufacturing sectors are front and center when it comes to AI and ML deployments. As the technology matures, you’ll see huge improvements in productivity, quality, and security. The talks in this session will hone in on these advancements and how they can be deployed in your industrial application.
AI is now all around us. It can be found in nearly every facet of our lives. And the industrial, automation, robotics, and manufacturing sectors are front and center when it comes to AI and ML deployments. As the technology matures, you’ll see huge improvements in productivity, quality, and security. The talks in this session will hone in on these advancements and how they can be deployed in your industrial application.
Thu, Sep. 19, 2024 · 10:30 am (PDT)
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Computer vision, and the algorithms that come with it, can have a huge impact on productivity. But it also significantly increases the amount of data that must be transmitted, processed, and analyzed. In this session, we will look at all the options, from system configuration, to the processing elements that are needed, to how the analysis should be handled, including how and when to act on those outcomes.
Computer vision, and the algorithms that come with it, can have a huge impact on productivity. But it also significantly increases the amount of data that must be transmitted, processed, and analyzed. In this session, we will look at all the options, from system configuration, to the processing elements that are needed, to how the analysis should be handled, including how and when to act on those outcomes.
Thu, Sep. 19, 2024 · 12:00 pm (PDT)
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Vendor A’s AI solution is pretty similar to Vendor B’s solution, yet they are quite different. And then you add in Vendor C, and it gets even murkier. If your task is to choose the right vendor, then implement the solution you’ve chosen, it may be quite difficult to tell them apart. In this session, we will look at the various options that are available to the designer, how they are different, and which makes the most sense based on your application.
Vendor A’s AI solution is pretty similar to Vendor B’s solution, yet they are quite different. And then you add in Vendor C, and it gets even murkier. If your task is to choose the right vendor, then implement the solution you’ve chosen, it may be quite difficult to tell them apart. In this session, we will look at the various options that are available to the designer, how they are different, and which makes the most sense based on your application.
Thu, Sep. 19, 2024 · 4:00 pm (EDT)
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Smart microphones can be very effective with neural networks' capability for pre-processing data. The neural network on the chip provides the advantage for voice processing tasks such as voice detection, voice intelligibility, and voice command processing. At the same time, it supports user privacy and increases the security of smart home solutions, personal communication devices, hearing assistance, robotics, etc. The question is how to find an efficient way to implement it.
(click “view this session” for full description)
Smart microphones can be very effective with neural networks' capability for pre-processing data. The neural network on the chip provides the advantage for voice processing tasks such as voice detection, voice intelligibility, and voice command processing. At the same time, it supports user privacy and increases the security of smart home solutions, personal communication devices, hearing assistance, robotics, etc. The question is how to find an efficient way to implement it.
(click “view this session” for full description)
Wed, Oct. 16, 2024 · 11:00 am (PDT)
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Machine learning is not new to industrial/automation/robotics equipment. But the capabilities are expanding, and they will continue to do so moving forward. As new algorithms come about and vision system get better, you’ll see huge improvements in productivity, quality, and security. This session will look into some of those applications and where gains can be made thanks to the use of AI.
Machine learning is not new to industrial/automation/robotics equipment. But the capabilities are expanding, and they will continue to do so moving forward. As new algorithms come about and vision system get better, you’ll see huge improvements in productivity, quality, and security. This session will look into some of those applications and where gains can be made thanks to the use of AI.
Tue, Dec. 10, 2024 · 11:00 am (PST)
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Whether they know it or not, consumers have been subjected to various levels of AI for years, a lot longer in some cases. As the processors get more refined and AI can be deployed at the end point, even wearable devices can adapt to their humans. In this session, we will look at some of the very low-power devices and what’s needed to design them into consumer.
Whether they know it or not, consumers have been subjected to various levels of AI for years, a lot longer in some cases. As the processors get more refined and AI can be deployed at the end point, even wearable devices can adapt to their humans. In this session, we will look at some of the very low-power devices and what’s needed to design them into consumer.
