Airo Lab Blog

  Introduction In today's rapidly evolving technological landscape, robots are no longer confined to the realms of science fiction; they are an integral part of our daily lives and industrial ecosystems. From manufacturing floors to the depths of the ocean, robots are everywhere, but they still have limitations. One such limitation is their ability to manipulate objects using their entire bodies—a skill that humans perform effortlessly. Imagine a robot trying to carry a heavy box up a flight of stairs or picking up a fragile object; the task becomes exponentially complex due to the myriad of "contact events" the robot has to consider. However, a groundbreaking study by MIT researchers promises to revolutionize this aspect of robotics. By employing a novel AI technique known as "smoothing," they have managed to simplify the complex decision-making process that robots undergo when manipulating objects. This breakthrough has far-reaching implications, from making f...

Introduction NVIDIA, a name synonymous with cutting-edge graphics processing units (GPUs), has emerged as an undisputed leader in the AI revolution. Its meteoric rise is underscored by soaring profits and innovative technologies that have reshaped the tech landscape. However, as with any success story, there are questions about the sustainability of NVIDIA's dominance and whether it is navigating a tech bubble. This in-depth exploration delves into NVIDIA's journey, its profound impact on the AI industry's trajectory, and what businesses aiming to integrate AI into their operations can learn from its example. NVIDIA's Rise to Prominence A Brief History Founded in 1993 by Jensen Huang, NVIDIA began as a company specializing in graphics cards for video gaming. Yet, its vision extended beyond gaming, and it astutely recognized the immense potential of its GPUs in parallel computing, particularly for AI and deep learning tasks. This strategic pivot marked the genesis of NVI...