Artificial intelligence (AI) is both omnipresent and conceptually slippery, making it notoriously hard to regulate. Fortunately for the rest of the world, two major experiments in the design of AI governance are currently playing out in Europe and China. The European Union (EU) is racing to pass its draft Artificial Intelligence Act, a sweeping piece of legislation intended to govern nearly all uses of AI. Meanwhile, China is rolling out a series of regulations targeting specific types of algorithms and AI capabilities. For the host of countries starting their own AI governance initiatives, learning from the successes and failures of these two initial efforts to govern AI will be crucial.

Abstract-- This paper presents a serial chain hinge support, a rigid but flexible structure that improves the mechanical performance and robustness of soft-fingered grippers. Gravity can reduce the integrity of soft fingers in horizontal approach, resulting in lower maximum payload caused by a large deflection of fingers. To substantiate our claim we performed several experiments on payload and deflection of the SofIA gripper under both horizontal and vertical approach. In addition, we show that this reinforcement does not impede the original compliant behavior of the gripper, maintaining the original kinematic model functionality. Finally, we validated the improved SofIA gripper in agricultural and everyday activities.

If the pandemic has taught technology leaders anything, it's that those who are adamant about digital transformation have found the most success one year later. This included investing in machine learning (ML) and artificial intelligence (AI) solutions to adapt better and secure an advantage over their competitors. AI technology has become popular due to its usefulness and impact. In the past year alone, AI has enabled organizations to make better data-driven decisions and get higher-quality insights. We see more and more use cases for AI, such as hyperautomation, AI engineering and others.