Interview with Jem Davies at ARM Techcon 2016, after his keynote (see here) he talks about the upcoming development at ARM in the field of Computer Vision, after the acquisition by ARM of Apical, adding their ISP technology, local tone-mapping Display Engine to fit inside Mali's Display Processor, and the Computer Vision does object recognition in a fixed function dedicated engine. The Computer Vision engine is configurable to recognize people, objects, places, enabling a new visual level of smart technology.
You can also see the official video of his keynote here:
Watch here below Greg Yreic's Keynote full video titled: Moore's Law: Where are we and which way are we going? | ARM TechCon 2016
The doubling of transistor density every 18 months has been an exponential greater than any experienced in the human endeavor. But, as we know, the pace is slowing, creating uncertainty for our industry but also opportunity. Yeric will explore innovation from the transistor to the system level, and he sees the opportunity to not only continue effective transistor scaling, but to create exciting new products along the way.
About the speaker: Greg Yeric began his career at Motorola's Advanced Products Research and Development Laboratories in the area of semiconductor process integration, subsequently working at TestChip Technologies, HPL Technologies, and Synopsys, in the areas of test structures, technology development, and yield analysis. For the last 8 years, Dr. Yeric has been with ARM Holdings in Austin, Texas, where he leads the Future Silicon Technology group within ARM Research. His group's activities include novel technology incubation, design technology co-optimization and predictive technology. He earned PhD in Microelectronics at The University of Texas at Austin in 1993.
Also re-watch below my Interview with Greg Yeric:
Hermann Hauser, co-founder of Acorn Computers, which spun-out ARM Ltd in 1990. Vice-president for research at Olivetti, founder and investor in many companies such as Active Book Company, Advanced Telecommunication Modules, NetChannel, Plastic Logic, Solexa and many other, start-ups which he guides through the industry with Amadeus Capital Partners his venture capital company. (sorry I set my MKE440 microphone at +20db by mistake, the audio recording is quite loud, please turn down your volume level a bit for best experience)
Kiss & Tell, an ARM Powered Shoe. Kiss & Tell was a concept that turned into a reality all done on ARM Technology. The idea, a shoe that can change the patterns on the straps based on the touch of a finger from an app on your mobile. For example, if you were invited to have tea with the Queen, the Union Jack could be displayed in seconds; if it was Valentine’s Day, hearts could be flashing. The sole, upper, and interchangeable heels were designed in Tinkercad on an ARM Powered Chromebook, printed using an ARM Powered 3D printer, and then spray painted with custom car paint. The circuitry and the LED designs were both done on Raspberry Pi 3. The shoe is powered by an ARM Cortex-M0+ that sits on an Arduino MKR1000 board that is hidden in the shoe’s upper. You can contact Sandra Larrabee of ARM Marketing to learn more about ARM or Kiss & Tell here: email@example.com
Thomas Ensergueix is the ARM Cortex-M Product Manager, talks about the launch of ARM Cortex-M33 and ARM Cortex-M23, based on the latest ARMv8-M architecture with ARM TrustZone security and digital signal processing. You can read more at https://www.arm.com/products/processors/cortex-m/cortex-m33-processor.php and https://www.arm.com/products/processors/cortex-m/cortex-m23-processor.php
ARM launches their first ARM Cortex-M processors based on ARMv8-M architecture with ARM TrustZone technology,
IoT subsystem with ARM CoreLink system IP for fastest, lowest-risk path to silicon, Secure SoC designs fortified by TrustZone CryptoCell technology, Complete wireless solution with ARM Cordio radio IP for 802.15.4 and Bluetooth 5, Cloud-based service for secure management of IoT devices via ARM mbed Cloud, Optimized implementation on ARM Artisan IoT POP IP for the TSMC 40ULP process.
ARM Cortex-M23 and Cortex-M33 are the first embedded processors based on the ARMv8-M architecture, bringing the proven secure foundation of ARM TrustZone to the most constrained IoT nodes. The majority of the top ten global MCU suppliers have already licensed one or both processors. Lead partners include Analog Devices, Microchip, Nuvoton, NXP, Renesas, Silicon Labs and STMicroelectronics.
The highly versatile Cortex-M33 features configuration options including a coprocessor interface, DSP and floating point computation, with increased performance and efficiency relative to Cortex-M3 and Cortex-M4. The Cortex-M23 takes security to the most constrained devices, building on the standard set by Cortex-M0+ as an ultra-low power microprocessor in a tiny footprint
The new Cortex-M processors are backwards compatible with ARMv6-M and ARMv7-M architectures for direct and fast porting, accelerating product development. TrustZone CryptoCell-312 fortifies the SoC with a rich set of security features protecting the authenticity, integrity and confidentiality of code and data.
Read the full press release here: https://www.arm.com/about/newsroom/arm-accelerates-secure-iot-from-chip-to-cloud.php
ARM mbed announces the ARM mbed Cloud, a new standards- and cloud-based SaaS solution for secure IoT device management. It simplifies connecting, securing, provisioning and updating of devices across complex networks with optimizations built-in for energy-efficiency. Its an 'any device, any cloud' service for OEMs to scale IoT quickly. Bee Hayes-Thakore talks at ARM TechCon 2016 about mbed Cloud, mbed OS5.2, new developer tools, mbed Partnership, mbed Enabled and the new mbed Connect Shenzhen summit coming up on December 5th 2016.
Doug Anson, ARM IoT Solutions Architect talks about how ARM has worked with IBM to integrate ARM mbed with IBM Watson IoT platform on Bluemix Cloud Platform. The demo uses ARM Cordio Bluetooth sending a Google Physical Web URL to the Chrome Browser in the smartphone, creating an ability for the Chrome browser to interact with Bluetooth, enabling payment for parking meters by Bluetooth from the parking meter. Hooking up with the backend through IBM Watson, integrating with IBM's payment service and blockchain service.
ARM shows Vulkan API support on the Exynos 8890 Quad-core Samsung M1 (custom big core by Samsung), Quad-core ARM Cortex-A53. Also showing computer vision deep neural network database by Luxosft that allows detection of objects offline that uses GPU Compute for optimal performance
Judd Heape is Senior Director, Marketing in IVG (Imaging & Vision Group) at ARM talks about Apical that was acquired by ARM in May 2016, enabling Computer Vision in a new area on the SoC, already shipped with over 500 million ARM Processors, here demonstrating HDR-10 video through Assertive Display. HDR10 HEVC video stream decoded by Mali-V550 video processor to AFBC-compressed 10-bit YUV, Displayed at Full HD through Mali-DP650 display processor. With Assertie Display technology for excellent image clarity under all viewing conditions, such as under bright sunlight.