Cleiton Eduardo da Silva’s Post

The automotive industry is racing toward a sustainable future, and automation is playing a key role. As we see advancements like the one highlighted in Tech Xplore's recent article, machine learning and robotics are streamlining car battery production, driving efficiency, precision, and innovation. But the question remains: Can automation fully unlock the potential for widespread EV adoption while maintaining sustainability and quality? #EV #MachineLearning #Innovation #FutureOfMobility https://lnkd.in/ePiEd9MJ

The automotive industry is racing toward a sustainable future, and automation is playing a key role. As we see advancements like the one highlighted in Tech Xplore's recent article, machine learning and robotics are streamlining car battery production, driving efficiency, precision, and innovation. But the question remains: Can automation fully unlock the potential for widespread EV adoption while maintaining sustainability and quality? #EV #MachineLearning #Innovation #FutureOfMobility https://lnkd.in/eaHxgMA9

The automotive industry is racing toward a sustainable future, and automation is playing a key role. As we see advancements like the one highlighted in Tech Xplore's recent article, machine learning and robotics are streamlining car battery production, driving efficiency, precision, and innovation. But the question remains: Can automation fully unlock the potential for widespread EV adoption while maintaining sustainability and quality? #EV #MachineLearning #Innovation #FutureOfMobility https://lnkd.in/g8kibx7R

The automotive industry is racing toward a sustainable future, and automation is playing a key role. As we see advancements like the one highlighted in Tech Xplore's recent article, machine learning and robotics are streamlining car battery production, driving efficiency, precision, and innovation. But the question remains: Can automation fully unlock the potential for widespread EV adoption while maintaining sustainability and quality? #EV #MachineLearning #Innovation #FutureOfMobility https://lnkd.in/e88qj-bT

The automotive industry is racing toward a sustainable future, and automation is playing a key role. As we see advancements like the one highlighted in Tech Xplore's recent article, machine learning and robotics are streamlining car battery production, driving efficiency, precision, and innovation. But the question remains: Can automation fully unlock the potential for widespread EV adoption while maintaining sustainability and quality? #EV #MachineLearning #Innovation #FutureOfMobility https://lnkd.in/esfAG5K5

Stanford University researchers have developed an augmented motor that makes them at least 50% more efficient than standard electric motors. The increase in efficiency originates from using a new type of actuator, a device that uses energy to make things move. This new actuator works by harnessing the ability of springs to store energy when they are forced into an unnatural position, and to release the energy once they are allowed to restore their natural shape. For example, when the actuator is lowering something heavy, the springs can be engaged so that it stretches, taking some of the weight off the motor. The spring can then be locked in the stretched-out position, storing the energy that can be used to assist the motor in another task later on. I think this new development is very promising, as more efficient motors can allow robots and machines to travel further and operate for longer. Excited to see the application of this technology in a real-world setting! https://lnkd.in/gZ3aWsKa Video from Stanford researchers. #Robotics #Motor #Innovation

Humanoid robots will enter the market at a cost-capability of under $10/hour for their labor, on a trajectory to under $1/hour before 2035 and under $0.10/hour before 2045. The critical disruptive components of the new labor engine include: Sensors (cameras, tilt sensors, pressure sensors, microphones, accelerometers, etc.) to take in sensory data Computer hardware and software to process sensory data with powerful AI Actuators to move and interact with objects in the environment Batteries and power electronics to provide energy for hours of sensing, computing, and moving Each of these technologies has gotten dramatically cheaper and more powerful in recent years, setting the stage for the disruption of labor.

Quantum Computing in the Automotive Industry: Driving Innovation Forward Global Automotive Giants like Volkswagen, BMW, Ford, and Daimler have already begun exploring quantum computing applications in collaboration with Big technology leaders like IBM, Google, and D-Wave. These partnerships aim to address long-term challenges in the industry. Quantum computing’s ability to solve complex problems at unprecedented speeds opens up exciting opportunities for the automotive sector: 1️⃣ Materials Discovery and Battery Development: Revolutionizing EV battery performance and identifying lightweight, durable materials faster than ever. 2️⃣ Traffic Flow Optimization: Enhancing urban mobility by analyzing real-time traffic data for smoother, more efficient routing. 3️⃣ Autonomous Driving: Improving sensor fusion and real-time decision-making for safer autonomous vehicles. 4️⃣ Supply Chain and Logistics: Optimizing supply chains and reducing costs with advanced quantum algorithms. 5️⃣ Vehicle Design and Aerodynamics: Accelerating simulations for energy-efficient and crash-safe designs. 6️⃣ Energy Management in EVs: Maximizing battery life and efficiency through advanced optimization techniques. 7️⃣ Manufacturing Process Optimization: Streamlining production lines and reducing downtime using quantum-powered insights. 8️⃣ Cybersecurity for Connected Vehicles: Developing quantum-resistant encryption to secure vehicle communications. 9️⃣ Crash Analysis and Risk Modeling: Predicting risks and simulating crash scenarios for improved safety systems. While still in its early stages, quantum computing promises to be a game-changer, driving advancements across the automotive value chain with quantum leap in automotive innovation 🚗💻 #QuantumComputing #AutomotiveInnovation #FutureTech

Boston Dynamics Retires HD Atlas And Unveils The All New Electric Atlas. Boston Dynamics introduces a new electric version of its Atlas robot, retiring the hydraulic model. The electric Atlas is designed for real-world applications, with enhanced capabilities for industrial challenges. Hyundai will be a key partner, using the Atlas in automotive manufacturing. The electric Atlas will have greater strength and range of motion compared to previous models. Boston Dynamics emphasizes the importance of collaboration and partnerships for successful commercial deployment. The company's software advancements, including AI and machine learning tools, will enhance the robot's adaptability. Boston Dynamics' Orbit™ software will manage the robot fleet and digital transformation data. The humanoid form factor of Atlas allows for dynamic movement and manipulation, exceeding human capabilities. @Boston Dynamics aims to deliver a complete ecosystem of robotics hardware, software, and support for real-world applications. 🌐https://lnkd.in/g6e2bCPW

👏 Master Thesis finished: Advanced analytics for improving the quality of #sensors As part of the Industrial Data Lab, Bosch and Universität Stuttgart joint forces and applied advanced analytics for improving the quality of #sensors. ⚡ The problem In the 🚗 automotive industry, more and more assistance systems are being introduced to support the driver, e.g. parking assistance or automatic parking steering systems. These systems exploit data from safety-relevant #sensors. The goal of this thesis was to find new methods to detect faulty #sensors at an early stage in production. 💡 The solution Techniques from automated #machinelearning were used in this thesis to derive classification models for #sensors. These models not only allow to identify defective #sensors, but also help to identify the type of error. In the thesis, the models were applied to real-world data. The results show the potential to improve production processes as well as increase customer satisfaction by reducing the number of customer returns. #Sensors - sensory organs of cars 🤔 Did you know that more than 50 #sensors are built into a car?