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The University of Alberta's research team progresses with a significant leap forward in human augmentation with their development of the "Bento Arm," an AI-powered prosthetic limb which smoothly converts the user's neural and muscular signals to create seamless and natural movements that are highly responsive. Harnessing a sophisticated network of high-resolution sensors—including electromyography (EMG) sensors, inertial measurement units (IMUs), and tactile sensors—the Bento Arm senses even the most subtle signals from the limb, translating them into precise motor commands through advanced deep learning algorithms. These algorithms, trained on expansive datasets represent a wide range of natural human motions, not only predict intended movements with startling accuracy but also adapt in real time to the user and their varying environmental conditions. By 2031, the market for such algorithms is projected to reach 3.45 billion and this is driven largely by AI and advanced analytics applications.