96Boards Mezzanine Initiative is a community-led, organized and maintained initiative. This initiative aims to expand the 96boards ecosystem and promote open-hardware.
96Boards Mezzanine-Community GitHub: https://github.com/96boards/mezzanine-community
Open Source Academics (OSA) by 96Boards (https://github.com/osacademics) aims to facilitate and expand the educational experience on a global stage by providing scalable curriculum and standardized course materials through an open source platform. To fully understand the diverse nature of OSA, this summary will be broken down into seven discrete sections: Motivation, Mission, Platform, Stakeholders, Infinity Committee, Incentives and Roadmap.
OSA wants to unite industry and academia to create, and host a fully functional and open sourced educational platform which facilitates consumption and contribution of standardized educational curriculum and incentivized course materials on a global scale (with a current focus on STEAM content). OSA will work with stakeholders to achieve a balanced set of standards and incentives which encourage collaboration and drive content quality and growth.
You can watch more 96Boards videos at https://youtube.com/96boards
Fujitsu A64FX is the new fastest Arm processor in the world, built on 7nm it has 2.7 TFLOPS performance per chip suitable for high-end HPC and AI, they aim to create with it the world's fastest supercomputer with it by 2021. A64FX is the first processor using the new Armv8-A Scalable Vector Extension (SVE) to accelerate a wide range of large-scale scientific computing, including deep learning. Fujitsu is working closely with Linaro to enrich the Arm HPC ecosystem. A64FX will be featured in the post-K computer, a supercomputer being developed by Fujitsu and RIKEN as a successor to the K computer, which achieved the world's highest performance in 2011. The organizations are striving to achieve post-K application execution performance up to 100 times that of the K computer. It offers a number of features, including broad utility supporting a wide range of applications, massive parallelization through the Tofu interconnect, low power consumption, and mainframe-class reliability.
You can watch Fujitsu's keynote at Linaro Connect here
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.