What Exactly is 3D Printing, Where it Makes Sense, and Where it Doesn't

IoT platforms are beginning to transition from being used by early adopters to mainstream industries and applications. These early adopter IoT environments have given IoT platform vendors a glimpse into new and innovative use cases, identification of key performance indicators, and refactoring and refining IoT platforms to support them. Join us as leaders in IoT platforms discuss what they’ve learned and the key features and capabilities needed for successful IoT deployments.

AI is often defined as the science and engineering of making intelligent machines. This rather simple and broad definition spans numerous systems and industries and its implications are immense. Applications may jump out – automation of a process or task, reactive intelligence that analyses data sets and takes actions on the information, or analyzing large data sets and generating actionable predictions. As engineers set about the task to realize the objectives, key issues arise – What kinds of hardware platforms and resources are required? What kind of network connectivity and integration is needed? What functions reside in the cloud? Join us as experienced AI professionals discuss architecture, platforms, and software challenges and solutions for AI development.

There are many examples of why you should deploy AI at the Edge in your industrial system. What may be more complicated is how to design that system. And that’s where we’ll focus this webcast, laying out the path you should be following to ensure that there are no hiccups along the way. We’ll look at the processing needs, the communications required, and the levels of security that should be implemented, all based on a series of potential applications."

5G is coming on fast. The carriers are already well down the implementation path. Are you (and your factory) ready for it, particularly when it comes to securing that network? This panel will look at the implementation of 5G in an industrial setting and what that means from a security perspective. Basically, we’ll look at what you need to know to ensure that the wireless connections in your factory remain secure.

Machine Vision Technology is a fast growing market, with BCC Research estimating it’s market value to be $30.8 billion by 2021. You’ll want to get ahead of this trend soon, and this webinar will discuss the key factors you must consider below.
•Where is the Machine Vision market at currently?
•Where does ON Semiconductor see the market trending?
•Solutions to current AND future key design challenges

There are many uses of computer vision and the list continues to grow. For example, it’s applicable in:

Industrial automation
Public safety
Security surveillance
Law enforcement
Intelligent traffic management and pedestrian safety
Smart parking
Enhanced retail customer experiences
Inventory management
Medical imaging

This webinar will explore how employing Intel’s technology offerings, architectural considerations, and recommendations for customers will create more robust and efficient operations using computer vision. Discussions could involve Intel’s OpenVINO toolkit, Movidius vision-processing units, Intel FPGAs, and Intel’s vast selection of processors.

To utilize these technologies as well as all the surrounding logic, we’ve assembled a cast of experts in a webinar that will show you how to tie it all together in a comprehensive hardware-software package that will fuel your business going forward.

Industrial IoT offers new possibilities for machine automation, but also adds new requirements. In addition to traditional motion control, audio/video sensor data integration, and signal processing, IIoT-enabled machine automation adds connectivity, management, edge intelligence, and security considerations. These make identifying an IIoT machine automation platform that is compatible with legacy systems and can gather key operational and business metrics key to project success.

Join us as IIoT experts provide insight into the future capabilities and requirements of industrial automation.

IoT enables collection of data like never before. But even if you are good at collecting data, where does that leave you?

If you are a product manufacturer, you are likely still doing business the traditional way – recommending standard preventative maintenance to your customers, not getting any real feedback on the performance of your products in the field, and executing only a cursory services business. If you are an operator of an industrial installation such as a factory, you may have found one or two places where data is helping with decision making, but you still have unplanned downtime, quality isn’t where you want it, and safety needs improvement.

As a result, your financial results are lagging, and customers are dissatisfied. Possibly a third party has come in and is offering solutions and services that you think you should be able to develop and manage yourself.

And really, when you look through this lens it’s not about the data. It’s about how you make the big changes in your company. Using data is one important part, but there are many more. It’s about becoming a company with connected products or solutions and executing a “digital transformation” to create new services, optimize business models, or streamline operations.

In this presentation, we will discuss the key elements – business and technical - to becoming a connected company, address the most common solution areas for industrial companies where IoT will help to accelerate transformation; and how can you reduce risk and time to ROI by getting started quickly with market ready solutions.

One of the advantages of Sitara processors is the ability to support multiple industrial communication protocols such as EtherCAT, PROFINET and others by simply downloading new firmware. In this webinar we will cover an overview of the new Sitara AM65x processors which are the first multiprotocol gigabit TSN-enabled processors for Industry 4.0. Kunbus, a TI partner, will also present their comprehensive support offering of industrial communication software and applications on Sitara processors.

Automakers understand that acoustics are important to their vehicle experience. Up until now, automakers have had to engineer that experience by assembling disparate hardware and software components and to spend considerable effort to integrate and fine tune those components into a consolidated system.

For the first time, the QNX Acoustics Management Platform 3.0 (QNX AMP 3.0) brings key audio and acoustics functionality found in modern vehicles into a single, integrated, high-performance software framework that runs entirely on application processors.

Join our acoustics experts, Len Layton, Business Development Manager – Acoustics, and Randy Martin, Senior Product Manager, as they present BlackBerry QNX’s unified software-defined vision for automotive acoustics and how QNX Acoustics Management Platform enables automakers to meet increasing consumer expectations while reducing cost, complexity and time-to-market.

In this webinar, learn how to:
•Meet elevated consumer expectations related to speech recognition integrating virtual assistants such as Amazon Alexa, Google Assistant, Apple Siri
•Address the demanding latency requirements of smart-phone projection certifications.
•Reduce development costs by deploying a single, software-based audio architecture from base audio configurations all the way to the highest-end multi-speaker premium audio systems;
•Support multi-element MEMS microphone arrays across multiple zones within the cabin and support handsfree speech commands and spoken “wake-up” words;
•Integrate advanced convenience and quality features such as In-Car Communication, Active Noise Control, and Sound Enhancement;
•Deploy a globally-compliant acoustic vehicle alerting system (AVAS) solution for pedestrian alerts with sound profiles tailored to the OEM brand experience;
•Ensure safety-critical alerts and warnings are audible to the driver under all operating conditions.

You seek to meet the evolving needs of your end users by adopting sophisticated technology, from game-changing artificial intelligence applications, to augmented reality and enhanced computer vision capabilities. But how do you deploy these new mission-critical applications into a safety-critical environment when most of them start in the open source software world?

Attend “Anatomy of Modern Systems: Where Safety-critical and General Purpose Applications Co-exist” and learn how to:

• Use adaptive virtualization for embedded, C4ISR, space and edge computing systems
• Navigate the development journey safely – from Linux-based prototyping to safety-critical deployment
• Consolidate safety-critical and general purpose applications onto a single safe, secure and reliable platform allowing integration of legacy and future applications without system redesign

As IoT continues to mature, as the amount of information being generated increases, companies must find better and more automated ways to process it. Sending everything to the cloud can increase costs associated with data delivery and processing. This has created an increased focus on edge intelligence. But what does that mean? More compute? More intelligent edge systems? How does this change the IoT design? Join us as IoT experts discuss intelligence at the edge and its architectural benefits and drawbacks.

To-date, the security industry has been driven by the enterprise and IT departments. However, with millions of devices from other industries coming online – many of which are safety-critical – traditional security frameworks must change. Here, at the intersection of firewalls and air gapping, antivirus and white listing software, and patching versus reliability, many questions exist for security professionals: -How can the overhead of cryptographic workloads be minimized? -What changes in PKI are needed to support this emerging class of connected devices? -Can open security principles be applied to historically closed systems? These questions and other will be addressed by silicon, software, and networking professionals.

With accelerating technology innovation, medical equipment and devices are becoming more sophisticated and more connected. Consequently, as in most mission-critical systems, safety and security are two increasingly vital requirements in medical device design. In April 2018, the US Food & Drug Administration (FDA) announced plans to increase regulatory powers over medical device safety, including cybersecurity.

This webinar explores the challenges around safety and security requirements related to medical equipment and other embedded devices, and discusses specific measures to deal with these challenges.

Join Yi Zheng, Senior Product Manager and Embedded Software expert, as she presents BlackBerry QNX’s safety and security solutions for embedded systems.

In this webinar, learn about:
•The functional safety implications on lower-level components in your medical device
•How to “design in” security measures for embedded systems
•The stringent process of qualifying a component to a high safety standard
•Leading safety and security practices gained from BlackBerry QNX’s experience

Machine learning is a subset of AI or artificial intelligence. But it’s a vital part, and it’s the part that typically engineered by those of us in the embedded community. Machine learning can be handled in different places within the system, and it often lives at the Edge or node level. If implemented properly, it can be performed with a minimal level of processing power and can even be powered by a battery. Learn how to take advantage of machine learning using existing technology.

Medical device companies are experiencing an evolving healthcare market that is relying on next-generation hyper-connected medical equipment to enable new levels of diagnostics, treatment, surgical methods and patientcare. All these devices must be designed to meet the stringent FDA requirements, around class II and class III devices, for the safety, security and reliability required to treat patients and save lives.

To accomplish this, medical device companies need to bring technical innovation to the design and development of their next medical device, without slowing down their time to market. To address this need, Wind River has created an innovative eco-system that brings together industry leaders in the medical software and hardware space to offer fully integrated building blocks and long term support services. This provides the foundation for a range of flexible medical device system architectures.

Join Wind River and medical ecosystem leaders, SECO and MedAcuity on Thursday, May 23, 2019 at 11:00 am ET for our web seminar, “De-risking Medical Device Development”.

We will discuss the following:
•Accelerating time to market
•Facilitating faster FDA approvals
•Reducing engineering overhead by leveraging trusted partners
•Easing the security burden (now and in the future)
•Porting legacy applications
•Creating flexible User Interfaces that span medical and mobile devices
•CI/CD and software updates

Copper and optical interconnect technologies play a significant role in next generation rugged embedded computing, with the drive toward higher speeds and smaller form factors. Join our panel of industry-recognized experts who will discuss the levels of electronic packaging – from chips to external cabling, how copper interconnect solutions are evolving, and where optics technology breaks through to address emerging needs.

The emergence of the software-defined vehicle - and all the code that comes with it - implies an increase in engineering requirements. Developers now face functional and safety requirements in addition to security provisions that will protect connected cars. Fulfilling these requirements in a manner that satisfies clients and certifying agencies can make or break a project, which applies to organizations with long-established engineering practices as well as startups looking to enter the ultra-competitive automotive industry. How to meet the requirements of standards such as ISO 26262, MISRA C, and CERT C in accordance with client demands is outlined in this webcast.

Smart Embedded Vision is opening up new possibilities for edge computing systems that rely on visual data to make decisions. Drones, machine vision, thermal imaging, gaming, video surveillance, robotics, machine learning and HMI all rely on cameras and displays that demand low power while supporting high-speed interfaces. The parallel processing and high-speed I/O capabilities of FPGAs makes them ideal processing platforms for delivering the high data throughputs needed for these applications. However, imaging sensors on the edge must operate at very low power levels.

In this webinar, you’ll learn about PolarFire® FPGAs, which are ideal for up to 4k resolution, low-power imaging/video and machine learning edge applications. This training is intended for FPGA design engineers, system architects, and engineering management/program management who would like to learn more about Microchip’s FPGA product offerings, with a focus on our cost-optimized, lowest power, mid-range density PolarFire FPGA family.