- AAEON & MOV.AI partner to offer robotic providers with an integrated solution under UP Bridge the Gap Robotics Ecosystem
- How to save project costs and improve quality with digital twins
- The future, faster: Enot's AI-driven optimisation tech turbo-charges deep neural nets, 'democratising AI for all'
- YOLO Detection – Accelerating Non Maximal Suppression
- Singapore and Korean Researchers Devise Next-Gen Semiconductor Wafer Technique
- RightHand Robotics launches partner integrator program for robotic piece-picking deployments
- MIT's mini cheetah sets new speed PB by learning from experience
- 3 Questions: How the MIT mini cheetah learns to run
- Serve, Nvidia Formalize Partnership with $10M Investment
- Nvidia’s GTC Provides A Glimpse At A World Full Of Autonomous Machines
- Robot Operating System 2 for Self-Driving Cars
- Intel axes older FPGA cards, moves development into hands of customers
- Design platform supports hotswap of FPGA components
- Intel Announces World’s Fastest FPGAs with in-package HBM: The Intel Agilex M-Series FPGAs
AAEON & MOV.AI partner to offer robotic providers with an integrated solution under UP Bridge the Gap Robotics Ecosystem
Source: Newswires, March 15, 2022 
UP Bridge the Gap has added a new partner, MOV.AI, to their robotics ecosystem offering manufacturers all the tools they need to deploy intelligent robots.
How to save project costs and improve quality with digital twins
Source: European Tool & Mould Making Magazine, March 12, 2022 
The virtual commissioning of customer-specific machines has the greatest leverage in terms of improving product quality, costs and throughput time. Until now, model creation has been costly and uneconomical due to the lack of mechatronic modular building block systems. Let's take a look at the effects of digital twins for virtual commissioning.
The future, faster: Enot's AI-driven optimisation tech turbo-charges deep neural nets, 'democratising AI for all'
Source: iTWire, March 15, 2022 
EU startup Enot has launched what it says is a user-friendly universal framework for a wide range of neural network architectures, delivering ultra-fast results, already used by 20+ enterprises, including Weedbot, LG, Huawei, Dscribe, Hive.aero, PicsArt and more.
YOLO Detection – Accelerating Non Maximal Suppression
Source: quadric.io, March 19, 2022 
In this blog post, quadric explores the acceleration of the Non-Maximal Suppression (NMS) algorithm used by object detection neural networks such as Tiny Yolo V3. We dive into the challenges of accelerating NMS, and why quadric's approach results in best-in-class performance.
Singapore and Korean Researchers Devise Next-Gen Semiconductor Wafer Technique
Source: OpenGov Asia, March 18, 2022 
Scientists from Nanyang Technological University (NTU) Singapore and Korea Institute of Machinery & Materials have developed a technique to create a highly uniform and scalable semiconductor wafer. The joint effort is led by NTU Singapore President, Subra Suresh and KIMM President, Sang-Jin Park working under the Ministry of Science and ICT.
RightHand Robotics launches partner integrator program for robotic piece-picking deployments
Source: Modern Materials Handling, March 16, 2022 
RightHand Robotics, a leader in data-driven, autonomous robotic picking solutions for order fulfillment, announces the launch of its Partner Integrator program today, establishing an ecosystem for robotic piece-picking projects with complementary warehouse technologies and solution providers to meet the global demands of ecommerce order fulfillment.
MIT's mini cheetah sets new speed PB by learning from experience
Source: New Atlas, March 17, 2022 
MIT's mini cheetah robot has broken its own personal best (PB) speed, hitting 8.72 mph (14.04 km/h) thanks to a new model-free reinforcement learning system that allows the robot to figure out on its own the best way to run and allows it to adapt to different terrain, without relying on human analysis.
3 Questions: How the MIT mini cheetah learns to run
Source: Massachusetts Institute of Technology, March 17, 2022 
CSAIL scientists came up with a learning pipeline for the four-legged robot that learns to run entirely by trial and error in simulation.
Serve, Nvidia Formalize Partnership with $10M Investment
Source: Food On Demand, March 17, 2022 
Serve Robotics announced a new investment from chipmaker Nvidia that deepens the relationship between the two companies and helps speed up growth and development.
Nvidia will invest $10 million in the company as a strategic investment. Among investments in the robotic food delivery space, it’s not massive, but it’s important for a few reasons.
Nvidia’s GTC Provides A Glimpse At A World Full Of Autonomous Machines
Source: Forbes, March 18, 2022 
There are a few must-attend technology conferences, even when they are held virtually. One of those is Nvidia’s GPU Technology Conference more commonly known as GTC. While holding the conference virtually does limit the interaction with the broad array of attendees from industry, government, and academia, it still provides an invaluable glimpse into advancements in accelerated processing technology, graphics, and artificial intelligence (AI).
Robot Operating System 2 for Self-Driving Cars
Source: Electronic Design, March 15, 2022 
ROS 2 can be used for automotive applications that implement Apex.OS.
Intel axes older FPGA cards, moves development into hands of customers
Source: The Register, March 16, 2022 
Intel is discontinuing its original lineup of Programmable Acceleration Cards as it turns to an "ecosystem first" strategy that helps customers create their own FPGA-based products, including SmartNICs.
Design platform supports hotswap of FPGA components
Source: EENewsEurope, March 18, 2022 
Xylon in Croatia has launched a framework that allows IP modules to be swapped in and out of an FPGA while in operation. The Dynamic Function eXchange Design Framework with Isolation Design Flow (logiREF-DFX-IDF) is designed to work with Xylon’s logiVID-ZU-GMSL2 kit. This has an AMD-Xilinx…
Intel Announces World’s Fastest FPGAs with in-package HBM: The Intel Agilex M-Series FPGAs
Source: EEJournal, March 14, 2022 
Intel has just introduced the Agilex M-Series FPGAs with support for PCIe Gen5, Optane persistent memory, CXL, and high-speed Ethernet. Some of the FPGAs in the Agilex M-Series also incorporate integrated High Bandwidth Memory (HBM) DRAM stacks. FPGAs with integrated HBM DRAM stacks are not new. Both Intel and AMD-Xilinx have offered such devices for a few years. Xilinx announced its first FPGAs with integrated HBM, the Virtex UltraScale+ HBM FPGAs, in late 2016, although parts didn’t appear until early 2018. Intel’s first-generation FPGA family with integrated HBM2 DRAM stacks were the Intel Stratix 10 MX FPGAs, announced in late 2018. The Agilex M-Series FPGAs incorporate the latest, fastest, 3rd-generation HBM2e DRAM stacks. These are the same in-package DRAM stacks being used to boost performance in the Fourth Generation Intel Xeon Scalable “Sapphire Rapids” CPUs and the Intel Ponte Vecchio GPU.
GTC is all about four days of discovery. Come explore what's driving transformation in your industry—from the power of AI to the collaborative virtual worlds of NVIDIA Omniverse, and beyond.
ROSCon 2022 will be held at the Kyoto International Conference Center in Kyoto, Japan on October 19th through the 21st, immediately before IROS 2022. ROSCon 2022 is a chance for ROS developers of all levels, beginner to expert, to spend an extraordinary two days learning from and networking with the ROS community. Get tips and tricks from experts and meet and share ideas with fellow developers.
Randolph, T. (2022, March 15). AAEON & MOV.AI partner to offer robotic providers with an integrated solution under UP bridge the gap robotics ecosystem. EIN News. https://www.einnews.com/pr_news/565487772/aaeon-mov-ai-partner-to-offer-robotic-providers-with-an-integrated-solution-under-up-bridge-the-gap-robotics-ecosystem ↩︎
Stark, A. (2022, March 12). How to save project costs and improve quality with digital twins. European Tool & Mould Making Magazine. https://www.etmm-online.com/how-to-save-project-costs-and-improve-quality-with-digital-twins-a-1102254/ ↩︎
Zaharov-Reutt, A. (2022, March 14). The future, faster: Enot's AI-driven optimisation tech turbo-charges deep neural nets, 'democratising AI for all'. iTWire - Technology News, Technology Jobs Australia. https://itwire.com/business-it-sp-511/business-it/the-future,-faster-enot-s-ai-driven-optimisation-tech-turbo-charges-deep-neural-nets,-democratising-ai-for-all.html ↩︎
Daniel Firu. (2022, January 19). YOLO detection – Accelerating non maximal suppression. quadric.io: One Architecture. Every Algorithm. https://www.quadric.io/post/yolo-detection-accelerating-non-maximal-suppression ↩︎
Jerome Siacor. (2022, March 18). Singapore and Korean researchers devise Next-Gen semiconductor wafer technique. OpenGov Asia. https://opengovasia.com/singapore-and-korean-researchers-devise-next-gen-semiconductor-wafer-technique/ ↩︎
RightHand robotics launches partner integrator program for robotic piece-picking deployments. (2022, March 16). Modern Materials Handling. https://www.mmh.com/article/righthand_robotics_launches_partner_integrator_program_for_robotic_piece_pi ↩︎
David Szondy. (2022, March 18). MIT's mini cheetah sets new speed PB by learning from experience. New Atlas. https://newatlas.com/robotics/mits-mini-cheetah-breaks-speed-record-learning-experience/ ↩︎
Rachel Gordon. (2022, March 17). 3 questions: How the MIT mini cheetah learns to run. MIT News | Massachusetts Institute of Technology. https://news.mit.edu/2022/3-questions-how-mit-mini-cheetah-learns-run-fast-0317 ↩︎
Nicholas Upton. (2022, March 17). Serve, Nvidia formalize partnership with $10M investment. Food On Demand. https://foodondemandnews.com/03172022/serve-nvidia-formalize-partnership-with-10m-investment/ ↩︎
Jim McGregor. (2022, March 18). Forbes. https://www.forbes.com/sites/tiriasresearch/2022/03/18/nvidias-gtc-provides-a-glimpse-at-a-world-full-of-autonomous-machines/?sh=581502f714ca ↩︎
Wong, W. G. (2022, March 15). Robot operating system 2 for self-driving cars. Electronic Design. https://www.electronicdesign.com/technologies/embedded-revolution/video/21235564/electronic-design-robot-operating-system-2-for-selfdriving-cars ↩︎
Martin, D. (2022, March 16). Intel axes older FPGA cards, moves development to customers. The Register: Enterprise Technology News and Analysis. https://www.theregister.com/2022/03/16/intel_fpga_accelerators/ ↩︎
Nick Flaherty. (2022, March 18). Design platform supports hotswap of FPGA components eeNews Europe. EENewsEurope. https://www.eenewseurope.com/en/design-platform-supports-hotswap-of-fpga-components/ ↩︎
Steven Leibson. (2022, March 14). Intel announces world’s fastest FPGAs with in-package HBM: The Intel Agilex M-series FPGAs. EEJournal. https://www.eejournal.com/article/intel-announces-worlds-fastest-fpgas-with-in-package-hbm-the-intel-agilex-m-series-fpgas/ ↩︎