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- Apple Joins OpenAI Board š
Apple Joins OpenAI Board š
While Toronto Startup Waabi Accelerates Autonomous Driving.
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News Roundup
Toronto Startup Waabi Accelerates Autonomous Driving - Pioneering generative AI technology to accelerate the deployment of safer, more efficient autonomous trucking solutions.
Apple Joins OpenAI Board - Apple has appointed Phil Schiller, its App Store head and former marketing chief, as an observer on OpenAIās board.
Senate Hearing Explores AIās Impact on Privacy - The Senate Commerce Committee will hold a hearing Thursday focused on privacy concerns related to the rise of artificial intelligence.
Amazonās Alexa AI Update Delay - The tech giant's silence on Alexa's AI progress raises concerns about its ability to keep pace with rapidly advancing competitors.
Voters Prioritize AI Safety Over Winning Race Against China - A large majority of U.S. voters believe prioritizing safety in AI development is more important than racing to beat China, according to a new poll.
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Todays Story
Researchers at MIT and UCSD have developed a new immersive remote control system for robots called āOpen-TeleVisionā that leverages human intelligence and adaptability to advance the field of robotic automation.
Open-TeleVision showcases the potential of combining human cognitive abilities with advanced robotics, offering benefits including adaptability, intuition, and creative problem-solving.
The teleoperation system uses a VR device to stream the operatorās hand, head, and wrist poses to a server, which retargets these human poses to the robot and sends joint position instructions to control its movements.
Tool Spotlight
The Latest AI Research
Generative AI Goes Mainstream: From AI-driven data culture to specialized language models this study explored the critical insights that could revolutionize your approach to AI in 2024.
The report by DataCamp, aims to explore the impact and future of generative AI in reshaping business operations and professional roles.
Practical applications of generative AI, particularly in workflow processes, are expected to drive significant value in business, overshadowing more sensational uses. Powered in part by the trend towards smaller, specialized language models for specific sectors or tasks is emerging, complementing the existing landscape of large, pre-trained general-purpose models.
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