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The AI revolution is coming to robots: how will it change them?

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For scientists who grew up enchanted by Star Wars, the absence of C-3PO-like droids in our daily lives feels like a letdown. Where are the humanoid robots brimming with practicality to assist us at home and work?
The rapid progress in artificial intelligence (AI) might soon bridge this gap. “I wouldn’t be surprised if we are the last generation for which those sci-fi scenes are not a reality,” remarks Alexander Khazatsky, a researcher in machine learning and robotics at Stanford University.
Major tech firms like OpenAI and Google DeepMind are now channeling their AI expertise into robotics. Their aim is to equip robots with common-sense knowledge, enabling them to tackle a wide array of tasks. Many experts foresee a significant leap forward in robotics capabilities. “We believe we are at the point of a step change in robotics,” says Gerard Andrews, a robotics-focused marketing manager at Nvidia.
Simultaneously, robots could enhance AI development. By integrating physical experiences into AI training, researchers hope to edge closer to achieving ‘artificial general intelligence’—AI with human-like cognitive abilities across various tasks. “The last step to true intelligence has to be physical intelligence,” explains Akshara Rai, an AI researcher at Meta.
However, amid the excitement over AI’s integration into robotics, caution is warranted. Impressive demonstrations often precede practical implementation, a process that can be lengthy and complex. Rodney Brooks, a roboticist at MIT, warns of the gap between demonstration and deployment.
Overcoming hurdles like data scarcity and safety concerns is crucial for the success of AI-powered robotics. While foundation models trained on vast internet data show promise, they still require extensive physical data to navigate real-world scenarios effectively.
Pooling data from diverse sources and leveraging simulation techniques are avenues researchers are exploring to address these challenges. Efforts to create open-source datasets and sophisticated simulators aim to equip robots with the skills needed to interact with the world adeptly.
As AI continues to evolve, so too does the debate on its impact. While some envision robots revolutionizing industries, others advocate for caution, citing safety risks and ethical considerations. Regardless, the momentum behind AI-driven robotics suggests a future where machines play increasingly integral roles in our lives.
Source: nature.com
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AImotive Achieves ISO 26262 ASIL-D Re-Certification for aiSim 5

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AImotive, a leading provider of automated driving technology, has announced that its aiSim 5 simulation platform has achieved ISO 26262 ASIL-D re-certification. This certification reaffirms the platform’s compliance with the highest safety standards for automotive software.
About aiSim 5
aiSim 5 is a state-of-the-art simulation platform designed to test and validate automated driving systems. It provides a realistic and comprehensive environment for evaluating the performance and safety of these systems. The platform supports various testing scenarios, including edge cases and extreme conditions, ensuring thorough validation.
Importance of ASIL-D Certification
ISO 26262 ASIL-D is the highest safety integrity level for automotive software. Achieving this certification demonstrates that aiSim 5 meets rigorous safety standards and can be trusted to support the development of safe and reliable automated driving systems. This certification is crucial for gaining the confidence of automotive manufacturers and regulatory bodies.
Future Developments
AImotive plans to continue enhancing aiSim 5 to address the evolving needs of the automotive industry. The company aims to support more advanced testing scenarios and integrate new technologies to further improve the platform’s capabilities.
Source of the news: AiThority
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ACR Unveils New AI Quality Assurance Program for Radiology Practices

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The American College of Radiology (ACR) has introduced a new AI Quality Assurance (QA) program designed to support radiology practices. This program aims to ensure the safe and effective use of AI in radiology, enhancing patient care and improving diagnostic accuracy.
Program Overview
The AI QA program provides a framework for radiology practices to evaluate and monitor AI applications. It includes guidelines for selecting, implementing, and assessing AI tools, ensuring they meet high standards of quality and performance. The program also offers resources and training to help radiologists integrate AI into their workflows.
Benefits for Radiology Practices
Radiology practices that adopt the AI QA program can benefit from improved diagnostic accuracy and efficiency. The program helps practices identify the most effective AI tools and ensures they are used safely and appropriately. This can lead to better patient outcomes and increased confidence in AI technologies.
Future Prospects
The ACR plans to expand the AI QA program to cover more AI applications and provide ongoing support to radiology practices. This initiative is part of a broader effort to promote the responsible use of AI in healthcare and ensure it delivers on its promise to improve patient care.
Source of the news: Healthcare IT News
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GSA Announces AI-Themed Hackathon

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The General Services Administration (GSA) has announced an AI-themed hackathon, inviting participants to develop innovative solutions using artificial intelligence. This event aims to foster innovation and collaboration in the AI community.
Hackathon Details
The AI-themed hackathon will bring together developers, data scientists, and AI enthusiasts to tackle various challenges using AI technologies. Participants will work in teams to create solutions that address real-world problems, with a focus on improving government services and operations.
Objectives
The primary objective of the hackathon is to explore the potential of AI in enhancing government services. The GSA hopes to identify innovative applications of AI that can be implemented across various government agencies. Additionally, the hackathon aims to promote collaboration and knowledge-sharing within the AI community.
Expected Outcomes
The GSA expects the hackathon to generate a range of creative and practical AI solutions. Winning teams will have the opportunity to showcase their projects and potentially collaborate with government agencies to implement their solutions.
Source of the news: Fedscoop
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