Source: The Robot Report, May 15, 2023 [1]
Intrinsic unveiled a new robotic software development solution today with the goal of making it easier to develop applications for robots. The Intrinsic Flowstate software adds a layer of abstraction to traditional robotic software tools with the goal of reducing the development skillset required while making it easier than ever before to program a robot in simulation.
Source: NVIDIA Blog, May 16, 2023 [2]
NVIDIA CEO Jensen Huang outlines role of accelerated computing and AI in address to semiconductor industry leaders at ITF World 2023.
Source: Semiwiki, May 16, 2023 [3]
This article aims to inspire electrical and electronics engineers to lead the semiconductor industry and VLSI Design companies to upskill and support their chip design workforce for their long-term career development.
Source: Financial Times, May 10, 2023 [4]
Intel has a plan to jump back to the top of the semiconductor chip industry
Source: Robotics & Automation News, May 12, 2023 [5]
A new Protolabs report reveals that almost one third (32 percent) of robotics industry experts believe that soft robotics and new materials will have the biggest impact on how robotics manufacturing will develop in the next five years.
Source: Semiwiki, May 16, 2023 [6]
The contest offers an opportunity for silicon startups to win valuable commercial, technical and marketing support from Arm and Silicon Catalyst. The winner will receive Arm credit worth $150,000, which could cover IP fees for a complete embedded system, or significantly contribute to the cost of a higher performance application.
Source: EETimes, May 15, 2023 [7]
Intel Foundry Services and Arm will optimize Arm's IP for Intel's 18A process technology to optimize performance, power, and costs. This collaboration will lead to the development of an Arm-based mobile SoC and silicon technology demonstration platform.
Source: SemiAnalysis , May 13, 2023 [8]
The AI industry is chasing ever-larger language models, which are costly and difficult to deploy. OpenAI's GPT-4 and Google's full-size PaLM models require 8 GPUs, 64 TPUs, 16 CPUs, and 128 GPUs to run. However, there is a thriving ecosystem of model development geared towards on-device inference. This discussion will focus on the gating factors for inference performance, the fundamental limits to model sizes, and how hardware development will establish the boundaries of development.
Source: CNX Software - Embedded Systems News, May 12, 2023 [9]
iWave Systems iW-Rainbow-G57M is a SoM designed to deliver AI acceleration at low power for demanding applications.
Source: McKinsey & Company, May 15, 2023 [10]
Semiconductors are the unsung heroes of the technology world: parts manufactured from pure elements that work behind the scenes to power and connect everything from smartphones to cars.
Source: arXiv, April 18, 2023 [11]
Drones are a promising technology for autonomous data collection and indoor sensing, offering flexibility, cost savings, and reduced risk. The goal is to create a simulated drone that can move autonomously in an indoor (gps-less) environment.
Source: arXiv, April 21, 2023 [12]
Transformer architectures have been successful in autonomous driving applications, but their dedicated hardware acceleration on portable computational platforms is essential for practical deployment. This paper provides an overview, benchmark, and analysis of Transformer-based models tailored for autonomous driving tasks.
Hardware Acceleration in Robotics NewslettersROS 2 Hardware Acceleration Working Group meetingsOitzman, M. (2023, May 15). Intrinsic Flowstate aims to change robotic software development. The Robot Report. https://www.therobotreport.com/intrinsic-flowstate-aims-to-change-robotic-software-development/ ↩︎
PR, S. (2023, May 12). Chip war without soldiers. Semiwiki. Retrieved May 16, 2023, from https://semiwiki.com/semiconductor-services/maven-silicon/328918-chip-war-without-soldiers/ ↩︎
Tindera, M., & Waters, R. (2023, May 10). Can Intel bounce back? Financial Times. https://www.ft.com/content/23e082c1-a911-48fd-83ec-74829b7024b3 ↩︎
Allison, M. (2023, May 12). Soft robotics and new materials will have the biggest impact on industry, says Protolabs report. Robotics & Automation News. https://roboticsandautomationnews.com/2023/05/12/soft-robotics-and-new-materials-will-have-the-biggest-impact-on-industry-says-protolabs-report/68268/ ↩︎
Nenni, D. (2023, May 10). Silicon catalyst and arm announce $150,000 silicon startup contest! Semiwiki. https://semiwiki.com/semiconductor-services/silicon-catalyst/328649-silicon-catalyst-and-arm-announce-150000-silicon-startup-contest/ ↩︎
Shilov, A. (2023, May 15). Experts weigh impact of Intel-Arm collaboration. EETimes. https://www.eetimes.com/experts-weigh-impact-of-intel-arm-collaboration/ ↩︎
Patel, D. (2023, May 13). On device AI – double-edged sword. SemiAnalysis | Dylan Patel | Substack. https://www.semianalysis.com/p/on-device-ai-double-edged-sword?utm_source=substack&utm_medium=email ↩︎
(CNXSoft), J. A. (2023, May 12). AMD versal AI edge soc FPGA system-on-module targets ADAS, robotics, medical imaging, and other AI applications. CNX Software - Embedded Systems News. https://www.cnx-software.com/2023/05/12/amd-versal-ai-edge-soc-fpga-system-on-module-targets-adas-robotics-medical-imaging-and-other-ai-applications/ ↩︎
What is a semiconductor? (2023, May 15). McKinsey & Company. https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-is-a-semiconductor ↩︎
Iyer, A., Narayan, S., Naren, M., & Rajapogal, M. (2023, April 18). Autonomous systems: indoor drone navigation. arXiv. https://arxiv.org/ftp/arxiv/papers/2304/2304.08893.pdf ↩︎
Zhong, J., Liu, Z., & Chen, X. (2023, April 21). Transformer-based models and hardware acceleration analysis in autonomous driving: A survey. arXiv. https://arxiv.org/abs/2304.10891 ↩︎