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Category: robotics/AI – Page 66

OpenAI on Thursday announced its first partnership with a higher education institution. Starting in February, Arizona State University will have full access to ChatGPT Enterprise and plans to use it for coursework, tutoring, research and more.

The partnership has been in the works for at least six months, when ASU Chief Information Officer Lev Gonick first visited OpenAI’s HQ, which was preceded by the university faculty and staff’s earlier use of ChatGPT and other artificial intelligence tools, Gonick told CNBC in an interview.

ChatGPT Enterprise, which debuted in August, is ChatGPT’s business tier and includes access to GPT-4 with no usage caps, performance that’s up to two times faster than previous versions and API credits.

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This emerging technology report discusses Google Gemini as a multimodal generative AI tool and presents its revolutionary potential for future educational technology. It introduces Gemini and its features, including versatility in processing data from text, image, audio, and video inputs and generating diverse content types. This study discusses recent empirical studies, technology in practice, and the relationship between Gemini technology and the educational landscape. This report further explores Gemini’s relevance for future educational endeavors and practical applications in emerging technologies. Also, it discusses the significant challenges and ethical considerations that must be addressed to ensure its responsible and effective integration into the educational landscape.

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To assist humans with household chores and other everyday manual tasks, robots should be able to effectively manipulate objects that vary in composition, shape and size. The manipulation skills of robots have improved significantly over the past few years, in part due to the development of increasingly sophisticated cameras and tactile sensors.

Researchers at Columbia University have developed a new system that simultaneously captures both visual and tactile information. The tactile sensor they developed, introduced in a paper presented at the Conference on Robot Learning (CoRL) 2024 in Munich, could be integrated onto robotic grippers and hands, to further enhance the manipulation skills of robots with varying body structures.

The paper was published on the arXiv preprint server.

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