Foxconn Trains Robots, Streamlines Assembly With NVIDIA AI and Omniverse
The world's largest electronics manufacturer is gearing up to make one of NVIDIA's most complex products, so it's turning to a digital twin powered by the NVIDIA Omniverse and Isaac platforms.
Robot plays "Rock, Paper, Scissors" - Part 2/3
The app forms the second phase of the project and - generally speaking - is intended to enable players to play against a simulated computer opponent. It builds on the trained AI and uses its results further.
How important is domain specific data? - The data challenge for AI applications in quality inspection
The concept of pre-trained deep learning models has gained prominence as a means to facilitate rapid development across multiple applications. We even hear about deep learning models that just need minor tweaks to perform optimally on some applications.
Robot plays "Rock, Paper, Scissors" - Part 1/3
In his search for a suitable camera, he came across IDS NXT - a complete system for the use of intelligent image processing. It fulfilled all requirements and, thanks to artificial intelligence, much more besides pure gesture recognition.
NVIDIA, Teradyne and Siemens Gather in the 'City of Robotics' to Discuss Autonomous Machines and AI
At Teradyne companies Universal Robots and MiR's new joint headquarters in Odense, Denmark, industry execs discussed the transformative impact of AI and collaboration on robotics.
The Interplay Between Robotics and Artificial Intelligence in Manufacturing
AI and robotics make the factories of the future smarter and more efficient. Manufacturers need to use these exponential technologies to gain a competitive advantage.
Edge Computing and AI in Manufacturing
With Tacton we wanted to give users the flexibility and configuration options they need to outfit their facility, while ensuring the system was reliable, secure, and easy to install.
On the Horizon: A Robot to Assist ALS Patients
CART will learn from only a few examples in an interactive manner by actively prompting the caregiver for demonstration examples as the robot needs, and thereby not overly burdening the caregiver.
Why Customer Service Robots Need Ethical Decision-Making: Trust and Benefits for Businesses
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The integration of moral robots in customer service does more than just streamline operations; it fundamentally alters the relationship between businesses and their customers.
Five challenging applications automated with AI-powered robots
Robots equipped with AI vision systems, such as MIRAI, can perceive and adapt to their surroundings. This allows them to handle variance while performing complex tasks, making it possible to automate operations otherwise considered too complex to solve.
ABB unveils its innovative mobile robot with Visual SLAM AI-technology and AMR Studio® Suite
Equipped with Visual SLAM, ABB's AMR T702 trolley robot offers increased speed, accuracy and autonomy in navigation and logistics. Integration with ABB's AMR Studio software allows new users to easily configure AMR routes and jobs.
How AI and Optical Components Are Joining Forces to Tackle Driving Offences in the UK
In this blog, we explore the fascinating world of the highways industry, where state-of-the-art cameras and their accompanying optics are highly valuable for evaluating our routes and maintaining seamless operations.
Figure Raises $675M at $2.6B Valuation and Signs Collaboration Agreement with OpenAI
Investments from Microsoft, OpenAI Startup Fund, NVIDIA, Jeff Bezos (through Bezos Expeditions), Parkway Venture Capital, Intel Capital and others
Figure and OpenAI are collaborating to develop next generation AI models for humanoid robots.
DOOMSDAY CLOCK REMAINS AT 90 SECONDS TO MIDNIGHT
"Make No Mistake": Clock Freeze No Indicator of Stability; Bulletin of the Atomic Scientists Cites Wars, Multi-Dimensional Nuclear Threats, Failures to Address the Climate Crisis, Bio-Threats, and Artificial Intelligence.
Study: Robots and AI Offer Significant Carbon Emissions Reductions by Operating Centuries Old Industries Better
By incorporating better use of data into some of the world's most carbon-dependent industries, the study found the equivalent of up to 18% of U.S. emissions could be eliminated by better operation.
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