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AMD at 55: Still Going Strong with a Unique Advantage for the Coming AI Wave

AMD hit 55 this week, and it has been an amazing ride. AMD started out as the redundant supplier to Intel with x86 because IBM, like most companies at the time, didn’t want to be the sole source of a […]

The post AMD at 55: Still Going Strong with a Unique Advantage for the Coming AI Wave appeared first on TechSpective.

Kawasaki Robotics Shares First Look of New Collaborative Robots, Features New Partnerships and Applications for Industrial Robots at AUTOMATE 2024

At Automate Kawasaki Robotics introduces a line of intelligent cobots and showcases Ai-enabled R and BX Series robots for welding, multi-SKU palletizing and depalletizing as examples of limitless opportunities and human ingenuity

Leveraging robots to help make wind turbine blades

Researchers at the U.S. Department of Energy's National Renewable Energy Laboratory (NREL) have successfully leveraged robotic assistance in the manufacture of wind turbine blades, allowing for the elimination of difficult working conditions for humans and the potential to improve the consistency of the product.

Random robots are more reliable: New AI algorithm for robots consistently outperforms state-of-the-art systems

Northwestern University engineers have developed a new artificial intelligence (AI) algorithm designed specifically for smart robotics. By helping robots rapidly and reliably learn complex skills, the new method could significantly improve the practicality—and safety—of robots for a range of applications, including self-driving cars, delivery drones, household assistants and automation.

Natural language boosts LLM performance in coding, planning and robotics

Large language models (LLMs) are becoming increasingly useful for programming and robotics tasks, but for more complicated reasoning problems, the gap between these systems and humans looms large. Without the ability to learn new concepts like humans do, these systems fail to form good abstractions—essentially, high-level representations of complex concepts that skip less-important details—and thus sputter when asked to do more sophisticated tasks.
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