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To generate an enhanced AI assistant, begin by imitating the illogical actions of humans.

Algorithms, Artificial Intelligence, Computer modeling, 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, National Science Foundation (NSF), Research, School of Engineering, UncategorizedAugust 6, 2024240Views0Likes0Comments
Researchers from MIT and the University of Washington have created a model that can accurately predict and assess human and machine behaviour to support more effective AI-human collaboration. The model can compute the behavioural constraints of an individual or machine by evaluating data related to previous actions. The resulting "inference budget" can be utilised to…

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This small microchip can protect user information while facilitating effective data processing on a mobile device.

Artificial Intelligence, Computer science and technology, Cybersecurity, Data, Electrical Engineering & Computer Science (eecs), Electronics, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Privacy, Research, School of Engineering, UncategorizedAugust 6, 2024258Views1Like0Comments
Researchers from MIT and the MIT-IBM Watson AI Lab have developed a secure and efficient machine-learning accelerator. This would help avoid common cyber threats and ensure sensitive data, like health records and financial information, remain private while still enabling AI models to run on devices. The development represents a significant step in guaranteeing the security…

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Haize Labs has launched Sphynx, an advanced tool for recognizing AI hallucination using flexible testing and fuzzing strategies.

AI Shorts, AI Tool, Applications, Artificial Intelligence, Editors Pick, Hallucination, Staff, Tech News, Technology, UncategorizedAugust 6, 202479Views0Likes0Comments
Haize Labs has developed Sphynx, a groundbreaking tool designed to combat the issue of "hallucination" in AI models. In AI, hallucination refers to the scenario where a language model produces incorrect or nonsensical outputs, despite its capabilities, posing a significant problem for numerous AI applications and demanding improved detection methods. Hallucinations hinder the effectiveness of large…

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To improve an AI assistant, begin by imitating the unpredictable actions of people.

Algorithms, Artificial Intelligence, Computer modeling, 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, National Science Foundation (NSF), Research, School of Engineering, UncategorizedAugust 6, 202496Views0Likes0Comments
Researchers at MIT and the University of Washington have created a model to predict the decision-making behavior of both human and AI agents, even in the presence of unknown computational constraints. The system is designed to infer the 'inference budget' of a given agent, in other words, how much time or computational resource they are…

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This minuscule microchip can protect consumer information while allowing effective data processing on a mobile phone.

Artificial Intelligence, Computer science and technology, Cybersecurity, Data, Electrical Engineering & Computer Science (eecs), Electronics, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Privacy, Research, School of Engineering, UncategorizedAugust 6, 2024123Views0Likes0Comments
Researchers from MIT and the MIT-IBM Watson AI Lab have developed a machine-learning accelerator capable of maintaining user privacy while running large AI models efficiently on devices. Although it might increase device cost and reduce energy efficiency, lead author Maitreyi Ashok, an electrical engineering and computer science (EECS) graduate student at MIT, believes these are…

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