Found in Robotics News & Content, with a score of 24.65
March 26, 2019
…the development agreement, the companies will create an “interconnected network of computer vision and AI algorithms to significantly increase multi-tool and multi-material 3D printing automation.” The companies will also combine an array of high-performance cameras with custom hardware for new robotics capabilities, including real-time in-situ print monitoring with “dynamic intelligent response for parameter adjustment and error correction,” automatic performance of post-processing treatments, object recognition and manipulation, automation of multi-tool hybrid manufacturing processes, and a new user interface. Aether will develop software to automate image processing for P&G, and deep learning techniques will be used to train multiple neural networks to…
Found in Robotics News & Content, with a score of 24.46
January 10, 2023
…experience and road safety,” he said. SVNet runs deep neural networking on TI processor SVNet was the first deep neural network to run deep learning-based object-detection software using the TDA2SX processor, claimed STRADVISION. It now also provides deep neural networking across the TI TDA4VM processor family, the company said. Texas Instruments said its TDA4 processor family offers an entry-level camera system for high-volume L2 ADAS applications and beyond. The processor is purpose-built for advanced driver-assistance systems (ADAS) and autonomous vehicle (AV) applications and builds on over a decade of experience in the ADAS processor market, said the company. SVNet’s implementation…
Found in Robotics News & Content, with a score of 24.13
March 17, 2020
…process and feeding its experimentally measured data to a neural network machine learning system, the scientists developed and “trained” the system to predict samples’ yield strength 20 times more accurately than existing methods. The new analytical technique could reduce the need for time-consuming and costly computer simulations, to ensure that manufactured parts used in structural applications such as airplanes and automobiles, and those made from digital manufacturing techniques such as 3D printing are safe to use in real-life conditions. The senior corresponding author of this paper, NTU Distinguished University Professor Subra Suresh, who is also the university president, says, “By…
Found in Robotics News & Content, with a score of 23.19
February 22, 2023
…video compression, advanced image and radar processing, and deep neural network processing to enable intelligent perception, fusion, and planning. The CV3-AD685 is the first production version of Ambarella’s CV3-AD family of automotive AI central domain controllers, according to the company. Tier 1 automotive suppliers have announced that they will offer systems using the CV3-AD product family, it said. Ambarella said the SoC integrates its next-generation CVflow AI engine, which includes neural network processing that is 20 times faster than the previous generation of CV2 SoCs. The CV3-AD685 also provides general-vector and neural-vector processing capabilities to deliver the overall performance required…
Found in Robotics News & Content, with a score of 21.69
October 02, 2019
…of gathering the right provable data for training the neural net, as the foundation for helping your AI model predict or seek the right data. Think of it as establishing and understanding the gold standard for your project. At a Glance: MathWorks Release 2019b MATLAB and Simulink extended with many new features. New tools for creating or updating Robot Operating System code. Interactively explore and preprocess data with MATLAB Live Editor. Develop, text and deploy 3D simulated driving algorithms. Deep Learning Toolbox extended with new enhancements. Learn more here. Smart products generally have the internal equivalent of a network architecture…
Found in Robotics News & Content, with a score of 21.56
September 28, 2020
…developed an IoT solution that works as a serverless neural network where communications take place without the need of a central server. This provides a new level of redundancy, as there is no danger of attack at one node that may compromise the rest of the network. The Factory Management module offers multiple packages to integrate Smart3D systems with the company’s ERP, enabling management of the factory’s full workflow. Smart3D Macro is shipping. Interested customers may turn to their local resellers or contact Industry Supplies for further information and availability. Sources: Press materials received from the company and additional information…
Found in Robotics News & Content, with a score of 21.36
January 04, 2022
…chip (SoCs) offer compression, advanced image processing, and deep neural network processing to enable smart cameras to extract valuable data from high-resolution video streams. Ambarella follows 'algorithm-first' philosophy Ambarella said the CV3 marks the debut of its next-generation CVflow architecture, which continues its “algorithm-first” design philosophy. This drove the development of the on-chip neural vector processor (NVP), with up to 500 eTOPS (trillions of operations per second) of compute. The company claimed that it provides the automotive industry's highest AI processing performance, with a 42x increase over its prior automotive family. Featuring up to 16 Arm Cortex-A78AE CPU cores, the…
Found in Robotics News & Content, with a score of 21.28
June 20, 2023
…industrial robots integrated with Xaba’s proprietary physics-informed deep artificial neural network model, xCognition. Xaba and Lockheed Martin identified a use case focused on a typical robotics work cell used in any aerospace factory to test how Xaba’s xCognition “synthetic brain” could empower a commercial robot with greater intelligence and understanding of its body and the task it is about to execute while ensuring required quality and tolerances are achieved. The test consisted of two phases: Phase 1: Assessing the robot’s performance in maintaining accurate and consistent trajectory positioning with and without Xaba’s xCognition. Phase 2: Performing a set of drilling…
Found in Robotics News & Content, with a score of 19.77
June 03, 2022
…offers Neuron, Cortex, Vision, and Clarity AMP said its neural network is built on a data engine that has recognized more than 50 billion containers and packaging types in real-world conditions. The AMP Neuron AI platform continuously trains itself by recognizing different colors, textures, shapes, sizes, patterns, and even brand labels to identify materials and their recyclability. Neuron then guides robots to pick and place the material to be recycled. Designed to run 24/7, Neuron does this at superhuman speed with extremely high accuracy, according to the company. The AMP Cortex high-speed robotics system automates the identification and sorting of…
Found in Robotics News & Content, with a score of 19.42
October 11, 2022
…rather than tactile ones, he said. “But with large neural nets, if cameras are occluded, hundreds of sensors in fingertips and palms could take over,” McMillen said. “Vision could get the robot in the ballpark, with a smooth transition to touches. As artificial intelligence has continued to advance, there really has been a leap forward.” The latest humanoid systems can incorporate cameras, microphones, and motion planning with one-hundredth of the input nodes, he said. BeBop seeks levels of precision, reliability McMillen came into haptic sensing through music. “We started working with musical instruments and fabric sensors 14 years ago,” he…
Found in Robotics News & Content, with a score of 19.37
July 07, 2021
…as images or grasp points for training the artificial neural network. Only pieces of stored knowledge—the local weights of the neural network that tell how strongly one neuron is connected to another—are transferred to a central server. “There, the weights from all stations are collected and optimized using various criteria,” Auberle said. “Then the improved version is played back to the local stations, and the process repeats.” The goal is to develop new, more powerful algorithms for the robust use of AI for Logistics and Industry 4.0 while complying with data-protection guidelines. “In the FLAIROP research project, we are developing…
Found in Robotics News & Content, with a score of 19.19
July 24, 2019
…together. Over the past decade, innovative applications of deep neural networks coupled with increasing computational power have led to continuous AI breakthroughs in areas such as vision, speech, language processing, translation, robotic control, and even gaming. Advances in AI Capabilities In a recent Microsoft blog, the author describes how each year since 2012, the world has seen a new step function advance in AI capabilities. Though these advances are across very different fields like vision (2012), simple video games (2013), machine translation (2014), complex board games (2015), speech synthesis (2016), image generation (2017), robotic control (2018), and writing text (2019),…
