Machine Learning
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Object Classification using Edge Impulse TinyML on Raspberry Pi Edge Impulse Studio is a machine learning platform that enables developers to generate Machine Learning trained models in the cloud and deploy them on microcontrollers (e.g. Arduino and STM32), or single-board computers like the Raspberry Pi. Initially, Edge impulse didn’t support the Raspberry Pi but on April 2021 Edge Impulse announced their full support with Raspberry Pi… |
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Digital Inclinometer with Programmable Machine Learning Core for Industrial Automation and Structural Health Monitoring STMicroelectronics has introduced a high accuracy low power 2 axis digital inclinometer for applications such as industrial automation and structural-health monitoring. The IIS2ICLX has advanced embedded functions that lower system-level power consumption to extend the operation of battery-powered nodes. The programmable machine learning core and 16… |
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STM32 Condition-Monitoring Software Function Pack for Simplified Machine Learning STMicroelectronics has released a free STM32 software function pack that lets users quickly build, train, and deploy intelligent edge devices for industrial condition monitoring using a microcontroller Discovery kit. Developed in conjunction with machine-learning expert and ST Authorized Partner Cartesiam, the FP-AI-NANOEDG1… |
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Moxie – A Social Robot with Artificial Intelligence and Machine Learning that can Understand and Express Emotions Embodied Inc. in collaboration with Yves Béhar's has come up with a social robot with machine learning technology. Named Moxie, the robot helps in promoting social, emotional, and cognitive development through everyday play-based learning and captivating content amongst children. It’s the result of the teamwork of experts in child development, engineering, technology, game… |
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Popular AI startups to watch out for in 2020 Artificial Intelligence is a revolutionary technology that we all have been well acquainted with for quite some time now. In our previous article, we have already discussed the progress of Artificial Intelligence and understood its outstanding phenomenon and groundbreaking technology that is strongly transforming how business operations take place across various business… |
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High Grade iNEMO Sensors Deliver Machine-Learning Core Efficiencies for Industrial and Consumer Applications STMicroelectronics is extending its motion-detection machine-learning core (MLC) technologies into industrial and high-end consumer applications with the latest ISM330DHCX and LSM6DSRX 6-axis iNEMO inertial measurement units (IMU). The MLC performs basic AI pre-processing of motion data using about 0… |
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Machine Learning Algorithms to Assess State of Charge and Battery Health More Accurately for Lithium Batteries in Electric Vehicles A team of scientists leads by Dr. Gareth Conduit at the Institute of Materials Research and Engineering at A*STAR, and Nanyang Technological University have used AI for predicting electric vehicle battery states and to give an ‘accurate’ prediction for lithium-ion cells state of charge and health. According to the article published, the data-driven… |
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Arm Announces new Machine Learning Processor and Neural Processing Unit for AI in IoT End Devices Arm has introduced significant additions to its artificial intelligence (AI) platform, including machine learning (ML) IP, the Arm Cortex-M55 processor, and Arm Ethos- U55 NPU. These new devices are designed to deliver a combined 480x uplift in ML performance, the new IP and supporting unified toolchain allows the AI hardware and software developers to implement innovative… |
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New Stereo Camera uses Machine Learning to provide Automatic Emergency Braking (AEB) for Improved Safety Hitachi Automotive has developed a stereo camera that enables Automatic Emergency Braking (AEB) at intersections. The newly designed camera offers an increased range of detection by widening the horizontal range of the stereo camera, unlike the conventional stereo cameras. Several features like centralized binocular detection through binocular vision, three-dimensional… |
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How close are we to fully Autonomous Vehicles? As most of the types of equipment we use today are being automated with state-of-the-art technologies, the advent of autonomous vehicles is no longer a surprise. Various mechanical features in conventional cars are being transformed into an automatic function. Consequently, today, semi-autonomous cars have become more ubiquitous than ever. … |
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How Machine Learning and AI are transforming Supply Chain Management System Amid the Fourth Industrial Revolution, the convergence of technology with various production processes, including supply chain and logistics, has become an indispensable part of doing business today. Businesses are voicing the need for tools to further enhance supply chain visibility and traceability, defining a new way to do amplify profits in the Information Age.… |
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STMicroelectronics Reveals Motion Sensor with Machine Learning for High-Accuracy, Battery-Friendly Activity Tracking STMicroelectronics has integrated machine-learning technology into its advanced inertial sensors to improve activity-tracking performance and battery life in mobiles and wearables.
The LSM6DSOX iNEMO™ sensor contains a machine-learning core to classify motion data based on known patterns. Relieving… |
