- PRESS RELEASE: Peer Robotics partners with Acceleration Robotics to bring hardware acceleration to their collaborative AMR
- ROS 2 Hardware Acceleration Working Group #16
- Acceleration robotics hosts ROS developers meet-up in Bangalore, India
- China must rethink chip strategy in light of US sanctions
- What to expect at Nvidia GTC 2023
- Intel Agilex® 7 FPGA I-series addresses 400G IPU and networking solutions requirements
- Silicon Labs adds AI acceleration to wireless IoT chips
- Embracing chaos: The imperfect art of semiconductor manufacturing and lithography
- Khronos to create SYCL SC open standard for safety-critical C++ based heterogeneous compute
- AMD flips the bird at Intel as it glides past in CPU-GPU stakes
- Scaling the RISC-V verification stack
- So you want to do robots, Part 3: How to escape pilot purgatory
PRESS RELEASE: Peer Robotics partners with Acceleration Robotics to bring hardware acceleration to their collaborative AMR
Source: Acceleration Robotics, March 16, 2023 
Acceleration Robotics, which leads the ROS 2 Hardware Acceleration community efforts, will work with Peer Robotics to improve performance in the mobile robotics stack beyond prevalent market standards.
Source: Acceleration Robotics, March 15, 2023 
Join the exciting ROS 2 Hardware Acceleration Working Group on its 16th meeting to discuss how hardware acceleration and custom compute architectures can speed up robotics. The goal of this meeting is to review the progress we have made over the last month and report on the current status of the group. The meeting is scheduled to be 30 minutes.
Source: Acceleration Robotics, March 13, 2023 
Acceleration Robotics organised another ROS Developers India Meet in Bangalore with the goal of creating a cohesive community of Indian ROS Developers.
Source: E&T Magazine, March 15, 2023 
China wasn’t doing that well before US sanctions on its silicon strategy; now it’s being forced to try a lot harder.
Source: Analytics India Magazine, March 10, 2023 
One of the most-awaited developer conferences, Nvidia GTC, is just around the corner. Scheduled between March 20 and 23, this year’s GTC will focus on the latest advancements from Nvidia in areas of AI computing systems, generative AI, industrial metaverse, and robotics.
Source: Intel, March 2, 2023 
Intel expands the Intel Agilex® 7 FPGAs and SoCs I-Series product offering with the AGI 041 device that delivers the right balance of capacity, power efficiency, and performance for 400G IPU and networking solutions.
Source: EETimes, March 10, 2023 
In this podcast, Sally speaks to Silicon Labs’ Matt Maupin and Dan Kozin about the company’s wireless IoT chips with AI acceleration, what use cases need this capability, how the accelerator fits into the device’s deep sleep modes and how AI works with the company’s software stack.
Source: SemiAnalysis, February 27, 2023 
Semiconductor manufacturing is the single most complicated manufacturing process with the lowest tolerance for error. Despite this, the semiconductor industry has stacked hundreds of abstraction layers on top of each other to create a consistent device. Each chip that comes out of a fab consumes a different amount of power, and defects can lead to the chip being yield harvested with disabled "cores" and IO. This is due to the manufacturing variations embedded within billions of transistors and interconnects.
Source: RoboticsTomorrow, March 15, 2023 
New Working Group designing derivative of the SYCL framework for high-level parallel programming to streamline safety certification in automotive, avionics, industrial, and medical markets; Open call for industry participation.
Source: The Register, March 9, 2023 
AMD is introducing its first hybrid CPU-GPU datacenter chip and Epyc products, as rival Intel confirms delays to its own GPU lineup. AMD CTO Mark Papermaster highlighted the progress made with the Instinct MI250 accelerator and its successor, the MI300, which has led to key wins in the HPC sector.
Source: Semiwiki, March 15, 2023 
RISC-V is taking off, but verification is still a challenge. Breker proposes a verification stack with layers from early liveness testing to system level performance and power profiling to ensure the same level of confidence as Arm.
Source: General Robots, February 13, 2023 
In this part, we’re going to dig into the most common death pattern for robotics startups: starving in pilot purgatory.
Source: sciencedirect, January 31, 2023 
The proposed FPGA-based soft-core processor for deep neural network (DNN) acceleration outperforms the current general-purpose processor by 6.6 times, retaining the existing architecture's accuracy.
AutoXFPGAs: An end-to-end automated exploration framework for approximate accelerators in FPGA-based systems
Source: arXiv, March 8, 2023 
AutoXFPGAs framework leverages statistical or machine learning models to explore the architecture-space of ASIC-based approximate circuits for FPGA-based systems.
Hardware Acceleration in Robotics Newsletters
- Hardware Acceleration in Robotics #50 - How the EU chips act could build "Innovation capacity" in Europe, How Efinix is conquering the hurdle of hardware acceleration for devices at the edge and more
- Hardware Acceleration in Robotics #49 - ROS 2 HAWG - meeting #15, 600 for-profit companies using ROS and ROS 2, Acceleration Robotics is growing, January 2023 robotics investments total US $521 million and more
- Hardware Acceleration in Robotics #48 - RobotPerf, benchmarking interest for robots grows, Acceleration Robotics announces the 1st meeting of the Architectures and Processors Working Group (GTAP) of the AESEMI and more
- Hardware Acceleration in Robotics #47 - ROS 2 HAWG #15, 2022 ROS 2 metrics report, Robot sales reach a new high in 2022, When will the mobile robot market consolidate? and more
- Hardware Acceleration in Robotics #46 - China overtakes USA in robot density, 3 ways semiconductors enhance automation and efficiency, 10 industries China is focusing on automating and more
- Hardware Acceleration in Robotics #45 - ROS 2 HAWG - meeting #14, What slowdown? - December 2022 robotics investments reaches $1.14B and more
- Hardware Acceleration in Robotics #44 - ROS developers meet-up organised by acceleration robotics, China unveils new plan for wider robot use from manufacturing to agriculture and more
- Hardware Acceleration in Robotics #43 - ROS 2 HAWG#14, Acceleration robotics joins AESEMI to lead new processor architectures, ROS 2 HAWG in 2022 and more
- Hardware Acceleration in Robotics #42 - Can the U.S. bring chip manufacturing home?, The best tech of CES 2023, Teaching old robots new tricks and more
- Hardware Acceleration in Robotics #41 - ROS Meetup, Does 2+2=4? Microchip announces PolarFire 2; You do the math, Robots at CES 2023 and more
ROS 2 Hardware Acceleration Working Group meetings
- Hardware Acceleration WG, meeting #15
- Hardware Acceleration WG, meeting #14
- Hardware Acceleration WG, meeting #13
- Hardware Acceleration WG, meeting #12
- Hardware Acceleration WG, meeting #11
- Hardware Acceleration WG, meeting #10
- Hardware Acceleration WG, meeting #9
- Hardware Acceleration WG, meeting #8
- Hardware Acceleration WG, meeting #7
- Hardware Acceleration WG, meeting #6
- Hardware Acceleration WG, meeting #5
- Hardware Acceleration WG, meeting #4
- Hardware Acceleration WG, meeting #3
- Hardware Acceleration WG, meeting #2
- Hardware Acceleration WG, meeting #1
Vikhe, G. (2023, March 16). PRESS release: Peer robotics partners with acceleration robotics to bring hardware acceleration to their collaborative AMR. Hardware Acceleration in Robotics. https://news.accelerationrobotics.com/press-release-peer-robotics/?ref=hardware-acceleration-in-robotics-newsletter ↩︎
Edwards, C. (2023, March 15). China must rethink chip strategy in light of US sanctions. E&T Magazine. https://eandt.theiet.org/content/articles/2023/03/china-must-rethink-chip-strategy-in-light-of-us-sanctions/ ↩︎
Jain, A. (2023, March 10). What to expect at Nvidia GTC 2023. Analytics India Magazine. https://analyticsindiamag.com/what-to-expect-at-nvidia-gtc-2023/ ↩︎
Zou, H., Wageningen, D. V., & Tausanovitch, N. (2023, March 2). Intel Agilex® 7 FPGA I-series addresses 400G IPU and networking solutions requirements. Intel. https://www.intel.com/content/www/us/en/content-details/768467/intel-agilex-7-fpga-i-series-addresses-400g-ipu-and-networking-solutions-requirements.html?cid=em&source=elo&campid=psg_WW_dcaipsgloc_EMPU_EN_2023_FM4 Solution Brief_C-MKA-29855_T-MKA-36330&content=psg_WW_dcaipsgloc_EMPU_EN_2023_FM4 Solution Brief_C-MKA-29855_T-MKA-36330&elq_cid=9300624&em_id=90324&elqrid=30e6e63f9e2c4c80a9c6cd185e9d20e2&elqcampid=55954&erpm_id=11830396 ↩︎
Patel, D. (2023, February 27). Embracing chaos: The imperfect art of semiconductor manufacturing and lithography. SemiAnalysis | Dylan Patel | Substack. https://www.semianalysis.com/p/embracing-chaos-the-imperfect-art?r=1ne6zn&utm_medium=ios&utm_campaign=post ↩︎
Khronos to create SYCL SC open standard for safety-critical C++ based heterogeneous compute. (2023, March 15). Robotics and Automation Stories, Videos, Articles, Interviews, Reviews & News | RoboticsTomorrow. https://www.roboticstomorrow.com/news/2023/03/15/khronos-to-create-sycl-sc-open-standard-for-safety-critical-c-based-heterogeneous-compute/20240/ ↩︎
Robinson, D. (2023, March 9). AMD gives Intel a wave as it glides past in CPU-GPU stakes. The Register: Enterprise Technology News and Analysis. https://www.theregister.com/2023/03/09/amd_cpu_gpu_hybrids/?utm_source=daily&utm_medium=newsletter&utm_content=article ↩︎
Murphy, B. (2023, March 15). Scaling the RISC-V verification stack. Semiwiki. Retrieved March 15, 2023, from https://semiwiki.com/eda/325676-scaling-the-risc-v-verification-stack/ ↩︎
Holson, B. (2023, February 13). So you want to do robots, Part 3: How to escape pilot purgatory. General Robots | Benjie Holson | Substack. https://generalrobots.substack.com/p/so-you-want-to-do-robots-part-3-how ↩︎
Sriraman, H., & Ravikumar, A. (2023, January 31). Customized FPGA design and analysis of soft-core processor for DNN. sciencedirect. https://www.sciencedirect.com/science/article/pii/S1877050923000297?ref=pdf_download&fr=RR-2&rr=7a86434cda0a3150 ↩︎
Prabakaran, B. S., Mrazek, V., Vasicek, Z., Sekanina, L., & Shafique, M. (2023, March 8). AutoXFPGAs: An end-to-end automated exploration framework for approximate accelerators in FPGA-based systems. arXiv.org. https://arxiv.org/abs/2303.04734 ↩︎