System76 is a computer manufacturer based in Denver Colorado specializing in laptops, desktops and servers running Linux. System76 talks about their upcoming efforts to move manufacturing in-house, and what that may mean for the future of the ARM Powered Linux Laptop and Desktop.
Jem Davies is the General Manager of the Machine Learning Group at Arm, he talks about the new Machine Learning Collaboration with Arm NN and Linaro, where Arm is donating the Arm NN inference engine and software developer kit (SDK) to Linaro’s Machine Intelligence Initiative. As part of this initiative – which aims to be a focal point for collaborative engineering in the ML space – Arm is also opening Arm NN to external contributions.
Linaro’s Machine Learning Initiative will initially focus on inference for Arm Cortex-A SoCs and Arm Cortex-M MCUs running Linux and Android, both for edge compute and smart devices. The team will collaborate on defining an API and modular framework for an Arm runtime inference engine architecture based on plug-ins supporting dynamic modules and optimized shared Arm compute libraries. The work will rapidly develop to support a full range of processors, including CPUs, NPUs, GPUs, and DSPs and it is expected that Arm NN will be a crucial part of this.
You can watch Jem Davies keynote at Linaro Connect here
Chris Benson is an AI & digital transformation strategist, solution architect, and keynote speaker / evangelist who specializes in deep learning – the neural computation technology that is driving the artificial intelligence revolution.
He was a member of Accenture’s first dedicated AI Team, and went on to create and build Honeywell’s first dedicated AI Team.
Chris is the co-host of the Practical AI podcast (https://changelog.com/practicalai) – produced by Changelog Media – which makes artificial intelligence practical, productive, and accessible to everyone.
He is a frequent keynote speaker on artificial intelligence at conferences, broadcasts, and events around the world.
Chris is the Founder & Organizer of the Atlanta Deep Learning Meetup, one of the largest AI communities in the world, with about 2000 members.
You can find out more about Chris Benson at his website: https://chrisbenson.com
You can watch Chris Benson's keynote at Linaro Connect here
The Works on Arm cluster is run by Packet for Arm to provide test, development, and data center CI/CD resources for community projects to build on arm64. The project also includes a weekly video office hours, a weekly newsletter, and a channel on the Packet Community Slack and Freenode IRC (#worksonarm) for community discussion.
Linaro CTO David Rusling talks about some of the latest things Linaro is focusing on, to enable Arm development on Arm, working with companies to bring Arm Powered developer desktops and laptops standardizing systems with an Architecture for the Embedded Space (EBBR). He also talks about Automotive, Machine Learning and more.
UC San Diego Professor Thomas Bewley discusses his Segway-like educational robotics kit, eduMIP, based on the BeagleBone Blue at Linaro Connect Vancouver 2018. This inexpensive kit (available online, for $128, at Renaissance Robotics https://www.renaissancerobotics.com/eduMIP.html) is used in his Embedded Control & Robotics course at UCSD, which Prof Bewley is currently working on taking online as a MOOC. It is also beginning to be used by a community of researchers and educators at other universities around the world. In this video, Prof Bewley also introduces his early efforts in developing new (and, significantly higher-power) motor-control daughterboards in the 96boards and Raspberry Pi formats. He also discusses eduMIP v.2 and some other advanced prototypes in his lab, as well as the Robot Control (RC) software library that drives this hardware, and will ultimately enable easy porting of control codes across the BeagleBone, Raspberry Pi, and 96boards linux-based product lines, in addition to deployment onto very-low-cost custom targets based on Cortex M based processors running an RTOS. His ultimate goal with this ambitious effort is to facilitate a much more seamless pathway from lab prototype to commercial product.
RoseFinch7100 has passed the certification of China Mobile and China Telecom, and it has been widely deployed in gas meters, household appliances, municipal management (parking, manhole cover, street lamp, environmental monitoring) and other industries.
The demonstration will show the RoseFinch7100 running the Zephyr RTOS with integrated IP/TCP/UDP/COAP/MQTT/LWM2M protocols, IoT Cloud Engine and FOTA services. Sanechips has worked closely with the Linaro IoT and Embedded (LITE) group to enable upstream Zephyr support for the chip. The Sanechips Development Environment (SDE), based on OpenOCD (Open On-Chip Debugger) and Eclipse, will also be demonstrated.
Produced on a 55nm ultra low power technology process, the RoseFinch7100 is specifically designed for intensive low power IoT applications, such as cellular LPWA (low power wide area). The chip integrates the low power/high performance CEVA-X1 DSP IP for baseband and offers low sleep current of 2uA at 2V, which can provide an extended battery life. It also offers Cloud-Chip Global Security based on Trusted Zone, up to 30 GPIOs and all R14 Frequency Bands, and no need for an external MCU as the RoseFinch7100 can provide strong connectivity for most LPWA applications independently.
At the Linaro Connect, Sahaj Sarup, Applications Engineer at 96Boards, based on the IoT Edition Carbon Development Board powered by the STMicroelectronics STM32F401RE ARM Cortex-M4 running Zephyr. There are 6 ultrasonic sensors preventing it from bumping into things, 4 IR sensors preventing it from falling down, there are LED's also representing the distance to the objects on each side of the self-driving rover.
From idea to design and from prototype to production, Avnet supports customers at each stage of a product’s lifecycle. A comprehensive portfolio of design and supply chain services makes Avnet the go-to guide for innovators who set the pace for technological change. For nearly a century, Avnet has helped its customers and suppliers around the world realize the transformative possibilities of technology.
Avnet has a very strong, technical community focus and is now home to such entities as Premier Farnell, Element14, MakerSource, hackster.io, and Raspberry Pi.
Avnet is Xilinx’ global distributor and technical partner. Xilinx has awarded Avnet a Premier partnership level in their Alliance Program. In addition to distributing Xilinx devices, Avnet also designs development boards, creates and delivers training, and also customizes and manufacturers Xilinx-based boards for customers around the world.
The Ultra96 is an example of this closer partnership, as Xilinx and Avnet have worked together to bring the board to market. Both companies will continue to support the board into the future.