Articles tagged with "generative-AI"
Amazon deploys its 1 millionth robot, releases generative AI model
Amazon has reached a significant milestone by deploying its one millionth robot in its warehouses, marking 13 years of robotic integration since acquiring Kiva Systems in 2012. The latest robot was delivered to a fulfillment center in Japan, and this milestone signals that Amazon’s robotic workforce may soon equal its human workforce in its vast network of warehouses. Currently, robots assist in 75% of Amazon’s global deliveries, highlighting the extensive automation in its logistics operations. In addition to this milestone, Amazon unveiled a new generative AI model named DeepFleet, designed to optimize the coordination and routing of its warehouse robots. Developed using Amazon SageMaker and trained on proprietary warehouse and inventory data, DeepFleet is expected to boost the speed of the robotic fleet by 10%. Amazon has also advanced its robotic technology with models like the Vulcan robot, which features dual arms and tactile sensing capabilities to handle inventory more effectively. Furthermore, Amazon announced plans in October 2024 for new fulfillment centers with ten times the number of
robotswarehouse-automationgenerative-AIAmazon-roboticsAI-in-logisticsrobotic-fleet-managementautomation-technologyAmazon deploys its one millionth robot, releases generative AI model
Amazon has reached a significant milestone by deploying its one millionth robot in its warehouses, with the latest unit delivered to a fulfillment center in Japan. This achievement highlights the company's rapid expansion of warehouse automation over the past 13 years, bringing the number of robots close to matching the number of human workers in its facilities. Currently, 75% of Amazon’s global deliveries involve robotic assistance, underscoring the integral role of automation in its logistics network. In addition to this milestone, Amazon unveiled a new generative AI model called DeepFleet, designed to optimize the coordination and routing of its warehouse robots. Developed using Amazon SageMaker and trained on proprietary warehouse data, DeepFleet is expected to boost the operational speed of the robotic fleet by 10%. Amazon has also advanced its robotic technology with models like the Vulcan robot, which features dual arms and tactile sensing capabilities to handle inventory more precisely. Furthermore, Amazon is expanding its robotic workforce with new fulfillment centers designed to house ten times more robots than current facilities
roboticswarehouse-automationAmazon-robotsAI-in-roboticsgenerative-AIrobotic-fleet-managementindustrial-robotsMIT's new AI outsmarts human design to help robots jump 41% higher
MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) has developed a new generative AI approach that designs robots capable of jumping 41% higher than those created by human engineers. Using diffusion-based generative models, researchers allowed the AI to modify specific parts of a 3D robot model, resulting in curved linkages resembling thick drumsticks rather than the straight, rectangular parts of traditional designs. This unique shape enabled the robot to store more energy before jumping, improving performance without compromising structural integrity. The AI-assisted robot also demonstrated an 84% reduction in falls compared to the baseline model, highlighting enhanced stability and landing safety. The process involved iterative refinement, with the AI generating multiple design drafts that were scaled and fabricated using 3D-printable polylactic acid material. Researchers believe that future iterations using lighter materials could achieve even higher jumps. Beyond jumping robots, the team envisions applying diffusion models to optimize how parts connect and to design robots with more complex capabilities, such as directional control and
roboticsartificial-intelligencegenerative-AIrobot-design3D-printingmaterials-sciencerobotics-innovationOver a million people now have access to the gen-AI powered Alexa+
Amazon has expanded access to its upgraded digital assistant, Alexa+, which is powered by generative AI, reaching over one million users through a phased invite-only rollout. The service is currently in Early Access and not publicly available, with invitations sent to customers who signed up to test it initially. Alexa+ offers more natural, conversational interactions, enhanced smart home integration, and personalized experiences by remembering user preferences. During Early Access, the service is free, and it will remain free for Prime members after launch, while non-Prime users will pay $19.99 per month. Alexa+ aims to revitalize Amazon’s voice assistant by incorporating generative AI capabilities that allow users to interact more flexibly and intuitively. Users can issue natural language commands, create routines, search Ring camera footage, and receive AI-generated content such as email summaries, bedtime stories, quizzes, travel itineraries, and smart home activity summaries. The assistant also supports transactional actions like booking reservations or buying tickets, with initial partnerships including OpenTable
IoTsmart-homeAlexagenerative-AIvoice-assistantsmart-thermostathome-automationAI co-designs a jumping robot that outperforms its human-made twin
Researchers at MIT’s Computer Science & Artificial Intelligence Laboratory (CSAIL) have developed a novel system leveraging generative AI, specifically diffusion models, to co-design robots by optimizing their mechanical structures through iterative simulation and fabrication. This approach allows users to input a 3D model and specify modifiable components, enabling the AI to generate and test numerous design variants before physical production. In a key demonstration, the AI-designed jumping robot outperformed a human-designed counterpart by jumping 41% higher, achieved through innovative curved, drumstick-like linkages that were lighter yet stronger and had greater energy capacity. Additionally, the AI improved the robot’s foot design, enhancing landing stability by 84%, significantly reducing falls. This breakthrough highlights the potential of diffusion models to reveal new insights into structural physics and accelerate hardware design processes, which traditionally lag behind software development due to complexity and manufacturing constraints. By balancing competing objectives such as jump height and landing success, the AI system produced optimized designs that blend human intuition with machine precision.
roboticsAI-designgenerative-AI3D-printingrobot-optimizationdiffusion-modelsrobotic-hardwareFreepik releases an ‘open’ AI image generator trained on licensed data
FreepikAI-image-generatorlicensed-datagenerative-AIgraphic-designF-LiteFal.aiMeta needs to win over AI developers at its first LlamaCon
MetaLlamaConAI-developersgenerative-AIopen-modelstechnology-conferenceartificial-intelligence