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What does the future entail for generative artificial intelligence?

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Machine learning, McGovern Institute, MIT Schwarzman College of Computing, School of Engineering, Special events and guest speakers, Staff, Students, UncategorizedMarch 24, 202436Views0Likes0Comments
iRobot co-founder and MIT Professor Emeritus, Rodney Brooks, warned about overestimating the capabilities of generative AI during a keynote speech at the "Generative AI: Shaping the Future” symposium. This marked the start of MIT’s Generative AI Week, which aimed to examine the potential of AI tools like OpenAI’s ChatGPT and Google’s Bard. Generative AI refers to…

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What lies ahead for generative artificial intelligence?

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Machine learning, McGovern Institute, MIT Schwarzman College of Computing, School of Engineering, Special events and guest speakers, Staff, Students, UncategorizedMarch 24, 202438Views0Likes0Comments
Speaking at MIT's "Generative AI: Shaping the Future" symposium, key speaker and iRobot co-founder Rodney Brooks warned against overstating the capabilities of Generative AI, a form of machine-learning that produces new content based on its training data. With examples like OpenAI's ChatGPT and Google’s Bard, Brooks cautioned of the consequence of believing that one technology…

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What does the future have in store for generative AI?

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Machine learning, McGovern Institute, MIT Schwarzman College of Computing, School of Engineering, Special events and guest speakers, Staff, Students, UncategorizedMarch 23, 202437Views0Likes0Comments
Rodney Brooks, co-founder of iRobot and keynote speaker at MIT’s “Generative AI: Shaping the Future” symposium, warned attendees not to overestimate the capabilities of this emerging AI technology. Generative AI is used to create new material by learning from data they were trained on, with applications in art, creativity, functional coding, language translation and realistic…

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What does the upcoming era entail for AI that can generate its own content?

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Machine learning, McGovern Institute, MIT Schwarzman College of Computing, School of Engineering, Special events and guest speakers, Staff, Students, UncategorizedMarch 23, 202438Views0Likes0Comments
During the "Generative AI: Shaping the Future" symposium held as part of MIT's Generative AI Week, experts discussed the opportunities and risks of generative AI, a type of machine learning that creates realistic outputs such as images, text, and code. The keynote speaker, Rodney Brooks, co-founder of iRobot and professor emeritus at MIT, warned against…

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What does the future entail for AI that is capable of generating its own content?

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Machine learning, McGovern Institute, MIT Schwarzman College of Computing, School of Engineering, Special events and guest speakers, Staff, Students, UncategorizedMarch 22, 202437Views0Likes0Comments
Generative artificial intelligence (AI) possesses great potential but equally great risks if misused or overestimated, warned Rodney Brooks, co-founder of iRobot, at MIT’s "Generative AI: Shaping the Future" symposium. The event kicked off the university's Generative AI Week on 28 November and attracted hundreds of academia and industry representatives to the institution's Kresge Auditorium. Generative…

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What is the outlook for generative AI in the future?

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Machine learning, McGovern Institute, MIT Schwarzman College of Computing, School of Engineering, Special events and guest speakers, Staff, Students, UncategorizedMarch 22, 202440Views0Likes0Comments
At the “Generative AI: Shaping the Future” symposium held on Nov. 28, Rodney Brooks, iRobot co-founder and a keynote speaker, cautioned attendees against overestimating the capabilities of generative AI. Noting that “No one technology has ever surpassed everything else”, Brooks stressed that flippant assumptions about the inferred abilities of generative AI could lead to failure.…

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A single step allows AI to produce high-grade images at a speed 30 times quicker.

Algorithms, Artificial Intelligence, Arts, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Data, Electrical Engineering & Computer Science (eecs), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedMarch 22, 202439Views0Likes0Comments
In the age of artificial intelligence, computers can generate "art" using diffusion models. However, this often involves a complex, time-consuming process requiring multiple iterations for the algorithm to perfect the image. MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers have now launched a new technique that simplifies this process into a single step using…

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A fresh approach relies on collective input from the public to assist in the education of robots.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Research, Robots, UncategorizedMarch 21, 202436Views0Likes0Comments
A team of researchers from MIT, Harvard University, and the University of Washington have developed a novel reinforcement learning technique using crowdsourced feedback. The technique allows AI to learn complex tasks more quickly and without relying on an expertly designed reward function. The conventional reward function designed by dedicated human experts has been replaced by…

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What lies ahead for generative artificial intelligence?

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Machine learning, McGovern Institute, MIT Schwarzman College of Computing, School of Engineering, Special events and guest speakers, Staff, Students, UncategorizedMarch 21, 202433Views0Likes0Comments
MIT's Generative AI Week began with a symposium on November 28, titled “Generative AI: Shaping the Future”. The keynote speaker was Rodney Brooks, co-founder of iRobot and former director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. During his address, Brooks cautioned against overestimating the capabilities of generative AI, which forms the basis…

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A novel approach employs collective public input to assist in educating robots.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Research, Robots, UncategorizedMarch 21, 202434Views0Likes0Comments
Reinforcement learning, which involves teaching an AI agent a new task using a trial and error methodology, often requires the assistance of a human expert to create and modify the reward function. However, this can be time-consuming, inefficient and difficult to upscale, particularly when the task is highly complex and involves several stages. In response…

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What does the future entail for generative artificial intelligence?

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Machine learning, McGovern Institute, MIT Schwarzman College of Computing, School of Engineering, Special events and guest speakers, Staff, Students, UncategorizedMarch 21, 202436Views0Likes0Comments
In a keynote address at MIT's Generative AI Week on November 28, iRobot co-founder Rodney Brooks highlighted the potential dangers of overestimating the capabilities of generative AI, an emerging technology that supports powerful tools like OpenAI’s ChatGPT and Google’s Bard. He urged that while the technology has significant capabilities, the illusion that it can solve…

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A novel approach incorporates feedback from the public to assist in teaching robots.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Research, Robots, UncategorizedMarch 20, 202432Views0Likes0Comments
Researchers from MIT, Harvard, and the University of Washington have developed a new method for training AI agents using reinforcement learning. Their approach replaces a process often involving a time-consuming design of a reward function by a human expert with feedback crowdsourced from non-expert users. Traditionally, AI reinforcement learning has used a reward function, designed by…

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