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Julie Shah has been appointed as the chief of the Aeronautics and Astronautics Department.

Administration, Aeronautical and astronautical engineering, Alumni/ae, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Electrical Engineering & Computer Science (eecs), Faculty, Leadership, MIT Schwarzman College of Computing, Robotics, School of Engineering, UncategorizedJuly 28, 202431Views0Likes0Comments
Julie Shah, the H.N. Slater Professor in Aeronautics and Astronautics, has been appointed as the new head of the Department of Aeronautics and Astronautics (AeroAstro) at MIT, effective from May 1. Shah, an alumnus of MIT, is renowned for her exceptional interdisciplinary leadership skills and significant technical strides in the arena of robotics and Artificial…

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Researchers at IBM suggest a fresh approach to AI, which requires no training, to lessen illusions in Large Language Models.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 28, 202431Views0Likes0Comments
Large language models (LLMs), used in applications such as machine translation, content creation, and summarization, present significant challenges due to their tendency to generate hallucinations - plausible sounding but factually inaccurate statements. This major issue affects the reliability of AI-produced copy, particularly in high-accuracy-required domains like medical and legal texts. Thus, reducing hallucinations in LLMs…

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Enhancing the Performance of Artificial Intelligence through the Streamlining of Complex System 2 Reasoning into Effective System 1 Responses.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 28, 202431Views0Likes0Comments
A team of researchers from Meta FAIR have been studying Large Language Models (LLMs) and found that these can produce more nuanced responses by distilling System 2 reasoning methods into System 1 responses. While System 1 operates quickly and directly, generating responses without intermediate steps, System 2 uses intermediate strategies, such as token generation and…

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An In-depth Analysis Comparing Notable AI Models: Llama 3.1, GPT-4.0, and Claude 3.5

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 28, 202429Views0Likes0Comments
Artificial intelligence is continually advancing, with the latest improvements being seen in language models such as Llama 3.1, GPT-4o, and Claude 3.5. These models each bring unique capabilities and numerous advancements that reflect the progression of AI technology. Llama 3.1, developed by Meta, is a breakthrough within the open-source AI community. With its impressive feature…

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Scientists at Stanford University have unveiled a new machine learning framework for RLHF, dubbed Contrastive Preference Learning (CPL), based on the Regret Preference Model.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 28, 202430Views0Likes0Comments
Aligning artificial intelligence (AI) models with human preferences is a complex process, especially in high-dimensional and sequential decision-making tasks. This alignment is critical for advancing AI technologies like fine-tuning large language models and enhancing robotic policies but is hindered by challenges such as computational complexity, high variance in policy gradients and instability in dynamic programming.…

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Revealing the Moral Hazards of Personalizing ChatGPT: The Case of RogueGPT

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Language Model, Large Language Model, Tech News, Technology, UncategorizedJuly 28, 202431Views0Likes0Comments
Generative Artificial Intelligence (GenAI), specifically large language models (LLMs) like ChatGPT, has transformed the world of natural language processing (NLP). By using deep learning architectures and extensive datasets, these models can generate text that is contextually relevant and coherent, which can significantly improve applications in content creation, customer service, and virtual assistance. Moreover, developments in…

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Proposition by Emergence AI for Agent-E: A Web Agent with Autonomous Web Navigation Improves by 20% to Achieve a Success Rate of 73.2%

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 28, 202437Views0Likes0Comments
Autonomous web navigation deals with the development of AI agents used in automating complex online tasks from data mining to booking delivery services. This helps in enhancing productivity by automating certain tasks in both consumer and enterprise domains. Traditional web agents working on such complex web tasks are usually inefficient and prone to errors due…

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The introduction of Agent-E, a web navigating system from Emergence AI, boasts a success rate of 73.2%. Moreover, it exhibits a 20% enhancement in independent web navigation.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 28, 202432Views0Likes0Comments
Autonomous web navigation, which involves using AI agents to perform complex online tasks, is growing in significance. Presently, these AI agents are typically used for tasks such as data retrieval, form submissions, and more sophisticated activities like finding cheap flights or booking accommodations. Utilizing large language models (LLMs) and other AI methodologies, the aim of…

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The Effect of Dubious Research Methods on the Assessment of Machine Learning (ML) Models

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 28, 202433Views0Likes0Comments
Evaluating the performance of Artificial Intelligence (AI) and Machine Learning (ML) models is crucial, especially with the advent of Large Language Models (LLMs). These evaluations help to assess the abilities of these models and establish reliable systems based on their capabilities. However, certain practices, termed as Questionable Research Practices (QRPs), frequently compromise the authenticity and…

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The Influence of Dubious Research Methods on the Assessment of Machine Learning (ML) Models

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 28, 202433Views0Likes0Comments
Artificial Intelligence and Machine Learning are rapidly advancing fields, and a crucial aspect of their progress is the evaluation of model performance, particularly with the advent of Large Language Models (LLMs). However, the integrity of these evaluations is often compromised by what are known as Questionable Research Practices (QRPs), which can severely inflate published results…

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To enhance your AI assistant, begin by simulating the unpredictable conduct 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, UncategorizedJuly 28, 202431Views0Likes0Comments
Researchers at MIT and the University of Washington have developed a new way to model human behaviour by accounting for unknown computational constraints that may impact problem-solving abilities. This new model enables an agent, human or machine, to infer another agent's computational constraints from their previous actions. The resulting 'inference budget' can be used to…

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This small microchip can protect user information while also facilitating effective 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, UncategorizedJuly 28, 202431Views0Likes0Comments
Researchers from the Massachusetts Institute of Technology (MIT) and the MIT-IBM Watson AI Lab have developed a machine-learning accelerator designed to be resistant to cyber-attacks, offering a secure platform for health-monitoring applications. The chip secures users' data whilst running large artificial intelligence (AI) models efficiently, protecting sensitive health and financial information. The technology is capable of…

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