Latest news with #GeminiRobotics
Yahoo
20-03-2025
- Automotive
- Yahoo
Mercedes-Benz begins using AI robotics to make its cars
Mercedes-Benz is planning the roll-out of humanoid robots and new artificial intelligence (AI) software across its US and European manufacturing lines to streamline processes, increase efficiency and save money. The Apollo robots from American company Apptronik and AI software from Google DeepMind are currently being tested at the car maker's Digital Factory Campus at its factory in Berlin, Germany. Apollo, a bipedal humanoid robot designed to mimic human actions, is being tested for logistics tasks, such as transporting components and assisting workers on the production line. Unlike traditional industrial robots, which are fixed in place and perform repetitive tasks, Apollo is capable of navigating factory floors and handling a variety of different, non-repetitive functions, speeding up manufacturing processes. Mercedes is initially deploying the robot in intra-logistics, moving materials between workstations to support human workers. It has also confirmed an investment of more than £85 million in Apptronik, signalling a deeper partnership that is expected to expand into other areas of manufacturing automation. Jörg Burzer, Mercedes' director of production, quality and supply chain management, told Autocar: 'We're training tasks away from the workforce. We're thinking hard about how we're going to implement it. It's important to choose the right tasks: repetitive and hazardous.' The investment in Apptronik, which has worked closely with NASA since its founding in 2016, allows Mercedes to leverage the company's recently announced partnership with Google and its DeepMind technology. This includes two new AI models: Gemini Robotics and Gemini Robotics Extended Reasoning. Both models run on Gemini 2.0, which Google describes as its most capable AI model to date, going beyond text and image output into physical action and commands to control robots. The AI-enhanced automation processes are being deployed in Mercedes' quality control and production monitoring, where assistants can analyse production anomalies, detect defects and optimise workflows. 'AI takes over the tasks we enjoy less, giving us time to focus on value-adding activities. It's a huge efficiency gain,' said Burzer. Together with these robotic advancements, Mercedes has also updated its digital production system with new AI-driven software tools, including a revised Chatbot Ecosystem. Although Mercedes operates a global network of manufacturing sites, its initial focus for the introduction of AI and humanoid robots is on its European and American factories. 'We don't have plans to introduce it to China,' Burzer told Autocar when questioned on the geopolitical implications of adopting the new production technology. This step from Mercedes follows other car makers in making similar moves towards integrating next-generation technologies into its manufacturing processes. In 2023, Autocar visited Hyundai's new AI-run factory in Singapore, which also uses robots to undertake many of its everyday tasks. And in 2024, JLR bought a robot dog to patrol its EV facility in Coventry, checking that equipment is working properly. ]]>
Yahoo
17-03-2025
- Business
- Yahoo
Top AI Trends 2025: What's Next in Artificial Intelligence - Agentic AI Projects For Engineers Data Scientists and Software Developers
Santa Clara, March 17, 2025 (GLOBE NEWSWIRE) -- Santa Clara, California - Google's latest advancements in AI and robotics, showcased through the Gemini Robotics initiative, highlight the transformative potential of generative AI in shaping intelligent, adaptive systems. As AI continues to push boundaries across industries, professionals must stay ahead of rapid developments in deep learning, large language models (LLMs), and multimodal AI. With Google Gemini Robotics demonstrating how AI can integrate into complex robotic systems, the demand for skilled professionals who can develop, optimize, and innovate in this space is at an all-time high. In response to this growing need, Interview Kickstart has launched its Advanced GenAI course, an intensive 8-9 week program designed to equip engineers and AI professionals with cutting-edge knowledge in generative AI and its applications. To learn more watch: The Advanced GenAI course is structured to provide a deep dive into key AI concepts, including the foundations of deep learning, the evolution of generative AI, LLMs, diffusion models, multimodal AI, and reinforcement learning. The curriculum is designed to ensure that learners not only understand these concepts but also gain hands-on experience with industry-relevant tools and frameworks, enabling them to develop innovative AI solutions that align with current trends. By the end of the program, participants engage in a capstone project where they apply their knowledge to build an LLM-based application, solidifying their expertise through real-world implementation. This hands-on project allows learners to demonstrate their skills and create tangible AI applications that can be showcased to potential employers. One of the standout features of the course is its emphasis on practical applications. Students explore a wide range of AI models and libraries, including Denoising Diffusion Implicit Models (DDIMs), the Alpaca model, LangChain, and diffusion models such as DDPM and Stable Diffusion. These state-of-the-art techniques are essential for those looking to work on AI-driven projects in companies pioneering advancements similar to Google Gemini Robotics. By gaining exposure to these advanced models, learners develop a deep understanding of how generative AI systems function and how they can be optimized for real-world applications. Understanding AI concepts is only part of the equation. Mastering them requires expert guidance and mentorship. To ensure that learners receive personalized support, the course offers 1:1 sessions with instructors who are AI practitioners from top tech companies. These sessions allow participants to clarify doubts, discuss complex AI topics, and prepare for the evolving AI landscape. Whether it's understanding the intricacies of diffusion models, optimizing LLM performance, or implementing AI solutions in production, learners benefit from tailored mentorship that enhances their learning experience. The ability to interact directly with industry experts provides invaluable insights that go beyond theoretical knowledge, helping learners apply their skills effectively in professional settings. With AI playing an increasingly critical role in industries such as finance, healthcare, robotics, and software development, acquiring advanced AI skills has become a necessity for career growth. Interview Kickstart's GenAI course with Agentic AI Projects is designed to bridge the gap between foundational AI knowledge and real-world applications. By covering both established AI frameworks and emerging innovations, the course empowers engineers, data scientists, and AI enthusiasts to stay competitive in a fast-evolving job market. Whether learners are looking to advance their current careers or transition into AI-focused roles, this program provides the knowledge and experience necessary to succeed. As AI continues to redefine automation and human-computer interactions, professionals who invest in upskilling will be at the forefront of this technological revolution. Google Gemini Robotics exemplifies the future of AI-driven systems, and Interview Kickstart's Advanced GenAI course ensures that learners are prepared to contribute to this dynamic field. The course not only provides a deep theoretical foundation but also fosters an environment where learners can experiment, innovate, and build AI-driven solutions that can shape the future. By combining rigorous coursework, hands-on projects, and expert mentorship, the program provides a comprehensive learning experience that equips professionals with the knowledge and skills needed to lead in the AI-driven world. Interview Kickstart's commitment to excellence in AI education ensures that learners receive top-tier instruction and hands-on training, making them well-equipped to tackle the challenges of an AI-driven future. As companies like Google push the boundaries of what AI can achieve, professionals who take advantage of this opportunity will be positioned to make meaningful contributions to cutting-edge AI projects and shape the next generation of intelligent systems. For more information visit: ### For more information about Interview Kickstart, contact the company here:Interview KickstartBurhanuddin Pithawala+1 (209) 899-1463aiml@ Patrick Henry Dr Bldg 25, Santa Clara, CA 95054, United States CONTACT: Burhanuddin PithawalaSign in to access your portfolio
Associated Press
17-03-2025
- Business
- Associated Press
Trossen Robotics' Aloha Stationary Featured in Google DeepMind's Gemini Robotics Research
Trossen Robotics is excited to announce that its Aloha Stationary kit has been featured in Google DeepMind's latest project, Gemini Robotics. 'To see the Aloha Stationary being utilized in DeepMind's latest research reinforces the critical need for scalable, cost-efficient robotic solutions to drive the next wave of AI advancements.' — Matt Trossen, CEO DOWNERS GROVE, IL, UNITED STATES, March 17, 2025 / / -- Trossen Robotics' Aloha Stationary Featured in Google DeepMind's Gemini Robotics Research Trossen Robotics, a leader in advanced robotic hardware for AI research, is excited to announce that its Aloha Stationary kit has been featured in Google DeepMind's latest project, Gemini Robotics. This groundbreaking research, detailed in DeepMind's recent publication ( represents a significant advancement in the integration of AI and real-world robotics. It underscores the essential role of scalable, cost-effective robotic systems in the future of machine learning. Advancing AI with Scalable Robotic Platforms Google DeepMind's Gemini Robotics initiative represents a significant advancement in AI-driven robotic manipulation. It utilizes Vision-Language-Action (VLA) models to enhance the autonomy and adaptability of robotic systems. The Aloha Stationary platform, designed with low-cost, high-performance machine learning research in mind, provided a robust testbed for these advancements, demonstrating the importance of accessible robotic hardware for AI development. The Role of Trossen Robotics in the AI Revolution The Aloha Project was founded with a singular mission—A LOw-cost HArdware (ALOHA) initiative—to make advanced robotic platforms accessible to researchers, students, and engineers worldwide. By providing cost-effective, modular, and high-performance robotics solutions, Trossen Robotics has empowered some of the world's leading institutions and AI labs, including Stanford, Berkeley, Google DeepMind, and Meta, to push the boundaries of machine learning. 'Our goal has always been to democratize robotic machine learning, making high-quality, scalable hardware available to researchers at every level,' said Matt Trossen, CEO of Trossen Robotics. 'To see the Aloha Stationary being utilized in DeepMind's latest research reinforces the critical need for scalable, cost-efficient robotic solutions to drive the next wave of AI advancements.' Enabling the Next Generation of AI Robotics As robotic AI continues to evolve, becoming a fusion of robotic capabilities, vision, and natural language processing, large-scale data collection is becoming essential to its success. The Aloha Stationary platform has played a crucial role in research focused on bimanual manipulation, real-world dexterity, and scalable data collection. This aligns with DeepMind's efforts to train AI models capable of interacting effectively in the real world. With this achievement, Trossen Robotics remains dedicated to advancing the AI revolution by providing affordable, scalable, and high-performance robotic solutions that empower researchers across academia, industry, and beyond. Media Contact: Marc Dostie Technical Product Marketing Manager Trossen Robotics Email: [email protected] Phone: 1-708-292-8879 Marcus Dostie Trossen Robotics +1 708-292-8879 email us here Visit us on social media: LinkedIn YouTube Legal Disclaimer:
Yahoo
13-03-2025
- Business
- Yahoo
Google DeepMind Launches Gemini Robotics AI Model - Interview Kickstart's Advanced Machine Learning Course Addresses Demand for ML Engineers
Santa Clara, March 13, 2025 (GLOBE NEWSWIRE) -- Santa Clara, California - Google's latest breakthrough, Gemini Robotics, is pushing the boundaries of AI-driven automation. By integrating advanced large language models (LLMs) into robotics, Gemini enables machines to understand and interact with their environments in more human-like ways. These AI-powered robots can execute complex tasks, adapt to dynamic environments, and even demonstrate reasoning capabilities. As the field evolves, the demand for engineers with deep expertise in machine learning and AI is surging, making it essential for professionals to equip themselves with specialized knowledge to work in the new, exciting world of AI and robotics. To address this growing need, Interview Kickstart offers its Advanced Machine Learning course with Interview Prep, designed to prepare engineers for cutting-edge roles in AI at companies like Google. This intensive program covers the essential skills needed to work on sophisticated AI-driven systems like Gemini Robotics, enabling learners to contribute to the next generation of intelligent machines. The curriculum teaches fundamental machine learning concepts, including supervised and unsupervised learning, feature engineering, and model evaluation. Participants then progress to deep learning techniques, covering neural networks, backpropagation, and optimization methods that form the backbone of modern AI. The course covers key AI architectures, including transformers, convolutional neural networks (CNNs), and recurrent neural networks (RNNs), which have applications in robotics and automation. Learners gain hands-on experience with reinforcement learning, a technique used in AI-driven robotics for decision-making through trial and error, alongside other methods like supervised and imitation learning. The program also explores generative models such as GANs and diffusion models, which contribute to synthetic data generation and visual processing in robotics. These align with AI research initiatives, including those at Google and DeepMind. A core feature of Interview Kickstart's training is its structured, hands-on approach. The program includes live sessions with FAANG+ instructors, interactive problem-solving exercises, and real-world case studies that mirror challenges faced in AI and robotics development. Learners spend 10-12 hours per week mastering concepts through expert-led lectures, coding assignments, and personalized mentorship. Sundays are dedicated to in-depth live sessions covering critical ML topics, while weekdays focus on solving real-world AI problems, engaging in case studies, and refining technical skills with direct guidance from industry leaders. For information visit: To enhance practical learning, Interview Kickstart's Advanced Machine Learning course includes a capstone project where participants apply their knowledge to build and deploy machine learning models on platforms like AWS and Google Cloud. This real-world experience prepares learners to tackle complex AI engineering challenges and positions them for roles at top tech companies, including Google's AI and robotics teams. With expert guidance, an industry-aligned curriculum, and rigorous hands-on training, Interview Kickstart's Advanced Machine Learning course provides the ideal foundation for professionals looking to break into AI and robotics. Interview Kickstart's Advanced Machine Learning course is designed for software engineers, developers, and STEM graduates looking to transition into AI/ML roles. Taught by FAANG+ ML/AI experts, it offers a 360° curriculum with individualized coaching, hands-on capstone projects, and real-world exposure. Learners receive 1:1 mentorship, interview prep modules, and mock interviews with industry professionals. Career development support includes resume building, LinkedIn optimization, and behavioral workshops, ensuring participants are fully equipped for AI/ML careers in top tech companies. The rise of AI-driven robotics will lead to a transformative shift in technology, offering new opportunities and challenges for ML/AI engineers. Google's Gemini Robotics is just the beginning, and professionals with expertise in machine learning will be at the forefront of this revolution. Interview Kickstart's Advanced Machine Learning course is designed to equip engineers with the knowledge, skills, and industry insights needed to excel in this exciting new realm. To learn more visit: About Interview Kickstart Founded in 2014, Interview Kickstart is a leading upskilling platform that empowers aspiring tech professionals to land their dream roles in FAANG and top tech companies. With a proven track record, Interview Kickstart has helped 20,000+ learners achieve their career aspirations at leading tech organizations. What sets Interview Kickstart apart is its pool of 700+ FAANG instructors, comprising hiring managers and tech leads who design and teach the comprehensive curriculum. They offer practical insights, the latest interview prep strategies, and mock interviews to excel in technical interviews and on the job. ### For more information about Interview Kickstart, contact the company here:Interview KickstartBurhanuddin Pithawala+1 (209) 899-1463aiml@ Patrick Henry Dr Bldg 25, Santa Clara, CA 95054, United States CONTACT: Burhanuddin Pithawala
Yahoo
12-03-2025
- Business
- Yahoo
Google introduces new AI models for rapidly growing robotics industry
(Reuters) - Alphabet's Google launched two new AI models tailored for robotics applications on Wednesday based on its Gemini 2.0 model, as it looks to cater to the rapidly growing robotics industry. The robotics field has made large strides over the past few years with increasing advancements in AI and improving models, speeding up commercialization of robots largely in industrial settings, according to industry experts. Google's launch comes a month after robotics startup Figure AI exited its collaboration agreement with ChatGPT-maker OpenAI after it made an internal breakthrough in AI for robots. See for yourself — The Yodel is the go-to source for daily news, entertainment and feel-good stories. By signing up, you agree to our Terms and Privacy Policy. The search engine giant's Gemini Robotics is an advanced vision-language-action model that will have physical actions as a way to provide output. The second model, named Gemini Robotics-ER, will enable a robot to have an advanced understanding of the space around it and lets developers run their own programs using reasoning abilities offered by Gemini 2.0. Google said its models are designed for robots of all form factors including humanoids and other types used in factories and warehouses. Using robotics-focused AI models developed by the likes of Google and OpenAI can help cash-strapped startups reduce development costs and increase the speed at which they can take their product to market. Google said it tested the Gemini Robotics model on data from its bi-arm robotics platform, ALOHA 2, but can be specialized for complex use cases such as Apptronik's Apollo robot. Apptronik raised $350 million in a funding round last month led by B Capital and Capital Factory, with participation from Google to scale production of AI-powered humanoid robots. Google had bought robotics pioneer Boston Dynamics in 2013, and sold the company, known for its dog-like and humanoid robots, to SoftBank Group Corp about four years later.
