NEURA Robotics and NVIDIA Collaborate to Advance the Future of Physical AI in Germany
Much like an app store for robotic intelligence, the Neuraverse allows robots to share and continuously evolve their skills: from welding and assembly to household tasks like ironing.
How We Gave Fawn Memory: Building Persistent, Cross-Platform Memories for Emotional Intelligence in AI
The future of emotional AI doesn't just require intelligence-it requires memory that works the way human memory does, with all its contextual awareness, emotional significance, and imperfect but meaningful recall.
Physical AI: Embracing AI's Moment in Robotics
Manufacturers currently use automation to streamline workflows, enhance efficiency, cut costs, and meet growing consumer demands. Yet they face a myriad of disruptions such as labor shortages, limitations of current technologies, and costly downtimes on production lines.
TeknTrash Robotics and Sharp Group Launch Groundbreaking Humanoid Robot Pilot for Smarter Recycling
ALPHA is trained using real-time motion data collected from recycling operatives via VR headsets and the data is sent in real time to cloud servers. The data is then processed through IsaacLab and deployed to NVIDIA's GR00T framework for real-time inference.
How AI, Robotics, and Automation Power Next Generation Pack Assembly
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Successful pack assembly systems balance throughput, quality, and safety in real time. Integration matters more than buying the most sophisticated robots; it comes down to seamless software logic, modular failover paths, and smart system design.
Addressing Challenges in Software Solutions for Robots and Physical AI
We leveraged our long heritage and leadership in robotics to create an AI software product that helps our customers overcome the challenges of traditional automation, accelerate set-up and deployment, and achieve greater ROI from their existing automation systems.
AI-Driven Grasp Depth Estimation
The core innovation of our new patent lies in its self-supervised approach to depth estimation. What that means is, the AI learns to judge the depth of an item it needs to pick up by using its own sensor data and the feedback it gets from its actions.
Will AI Take My Job in Manufacturing?
While employees have every right to be sceptical about AI, it's important to note that integrating AI into existing workflows is actually in place to enhance productivity and remove the need for time-consuming manual tasks.
Advancing Machine Design with the Power of Collaboration and AI
Given the unique nature of each project and the rapid pace of technological changes, machine builders play a crucial role in bridging the gap between early adopters and those lagging behind.
Boston Dynamics Expands Collaboration with NVIDIA to Accelerate AI Capabilities in Humanoid Robots
The compact size, high performance and efficiency of Jetson Thor enables Atlas to run complex, multimodal AI models that work seamlessly with Boston Dynamics' whole-body and manipulation controllers.
'Eyes, hands, brains and mobility' will define robotics beyond 2025
Building on 50 years of robotics leadership, 2025 marks the beginning of a new era of AI application in industrial robotics. Launch of new ABB Robotics brand film unveils new levels of versatilty for robots to do more tasks, in more places.
The Future of Machining: Key Trends and Innovations
AI and robotics are seen to deeply disturb specialized industry sectors, bringing beneficial pioneering modernizations in machining, industrial manufacturing and machine shops. Elitsa Krumova explores the future of machining in more depth on behalf of DELMIA.
Redefining industries with robotics and AI
While robotics have been a staple in the automotive manufacturing industry for decades, the applications have now spread far beyond, reshaping industries from agriculture to healthcare and service industries.
Trend 2025: Energy requirements often depend on the size of the AI model
Scientists estimate that the energy consumption of artificial intelligence could increase to up to 134 terawatt hours by 2027. AI training also requires a considerable amount of water-training the GPT model is said to have consumed around 700,000 liters of cooling water.
Exploring the Future of Supply Chain in 2025
Many of the changes that will impact supply chains in 2025 are not new, but the frequency and intensity has the potential to bring new levels of strain to already stretched supply chains. So, what can companies do to prepare for 2025 and beyond?
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