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

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 29, 202426Views0Likes0Comments
Julie Shah, an esteemed professor in the Department of Aeronautics and Astronautics at the Massachusetts Institute of Technology (MIT), has been appointed the new head of the department, with the position taking effect from May 1. An alumni of MIT with a Ph.D. in autonomous systems, Shah is renowned for her extensive technical expertise in…

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Research reveals that AI systems may fail if they are trained using data produced by AI, according to a study.

Industry, Machine learning, Model collapse, UncategorizedJuly 29, 202438Views0Likes0Comments
A recent study in Nature has highlighted that artificial intelligence (AI) models, specifically large language models (LLMs), experience a significant drop in quality when trained on data created by prior AI models. This degradation over time, known as "model collapse", could undermine the quality of future AI models, especially given the growing prevalence of AI-generated…

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SAG-AFTRA initiates protest against video game firms due to worries about AI.

Industry, SAG-AFTRA, UncategorizedJuly 29, 202428Views0Likes0Comments
The Screen Actors Guild-American Federation of Television and Radio Artists (SAG-AFTRA) has commenced a strike against key video game companies over concerns surrounding the unethical use of generative artificial intelligence. Union members suspect that AI technology is being utilized to replicate their voices and physical appearances without their knowledge, consent or adequate financial remuneration. This…

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TFT-ID: An Artificial Intelligence Model Specialized in Detecting and Extracting Tables, Figures, and Text Portions from Scholarly Articles

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedJuly 29, 202431Views0Likes0Comments
The sheer number of academic papers released daily has resulted in a challenge for researchers in terms of tracking all the latest advances. One way to make this task more efficient is to automate the process of data extraction, particularly from tables and figures. Traditionally, the process of extracting data from tables and figures is…

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Does the Future of Autonomous AI lie in Personalization? Introducing PersonaRAG: A Novel AI Technique that Advances Conventional RAG Models by Embedding User-Focused Agents within the Retrieval Procedure

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, RAG, Staff, Tech News, Technology, UncategorizedJuly 29, 202436Views0Likes0Comments
In the field of natural language processing (NLP), integrating external knowledge bases through Retrieval-Augmented Generation (RAG) systems is a vital development. These systems use dense retrievers for pulling relevant information, utilized by large language models (LLMs) to generate responses. Despite their improvements across numerous tasks, there are limitations to RAG systems, such as struggling to…

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This artificial intelligence article from China presents KV-Cache enhancement strategies for effective large-scale language model inference.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 29, 202427Views0Likes0Comments
Large Language Models (LLMs), which focus on understanding and generating human language, are a subset of artificial intelligence. However, their use of the Transformer architecture to process long texts introduces a significant challenge due to its quadratic time complexity. This complexity is a barrier to efficient performance with extended text inputs. To deal with this issue,…

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Researchers from Microsoft and Stanford University Present Trace: An Innovative Python Framework Set to Transform the Automatic Enhancement of AI Systems.

AI Shorts, Applications, Artificial Intelligence, Deep Learning, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 29, 202435Views0Likes0Comments
Designing computation workflows for AI applications faces complexities, requiring the management of various parameters such as prompts and machine learning hyperparameters. Improvements made post-deployment are often manual, making the technology harder to update. Traditional optimization methods like Bayesian Optimization and Reinforcement Learning often call for greater efficiency due to the intricate nature of these systems.…

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OpenAI Unveils a Prototype for SearchGPT: A Web Search Tool Powered by AI, Offering Instantaneous Information and Advanced AI Conversation Features.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Natural Language Generation (NLG), Natural language processing, Staff, Tech News, Technology, UncategorizedJuly 29, 202428Views0Likes0Comments
OpenAI has recently revealed the development of SearchGPT, an innovative prototype utilizing the strengths of AI-based conversational models to revolutionize online searching. The tool's functionality is powered by real-time web data and offers fast, accurate, and contextually relevant responses based on conversational input. SearchGPT is currently in its testing phase and available for a limited user…

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LAMBDA: A Fresh, Open-Source, No-Code Multi-Agent Data Analysis System Developed to Connect Domain Experts with Sophisticated AI Models

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 29, 202430Views0Likes0Comments
In recent years, artificial intelligence advancements have occurred across multiple disciplines. However, a lack of communication between domain experts and complex AI systems have posed challenges, especially in fields like biology, healthcare, and business. Large language models (LLMs) such as GPT-3 and GPT-4 have made significant strides in understanding, generating, and utilizing natural language, powering…

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To enhance the proficiency of an AI assistant, it is essential to commence by mapping out the unpredictable actions of human beings.

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 29, 202433Views0Likes0Comments
Researchers at MIT and University of Washington have crafted a model for understanding the behavior of humans and machines in decision-making scenarios, even when this behavior is suboptimal due to computational constraints. The model is based on an agent's “inference budget”, predictive of future behavior derived from observations of previous actions. This model could potentially…

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This compact chip is capable of protecting user information, while also promoting effective computing 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 29, 202433Views0Likes0Comments
Researchers from MIT and the MIT-IBM Watson AI Lab have developed a machine-learning accelerator that enhances the security of health-tracking apps. These apps can be slow and consume a lot of energy due to the data exchange requirements between the phone and a central server. “Machine-learning accelerators” are used to speed up such apps but…

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

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 29, 202433Views0Likes0Comments
Julie Shah, the H.N. Slater Professor in Aeronautics and Astronautics, has been named the new head of the Department of Aeronautics and Astronautics at MIT starting May 1. With an impressive record of technical contributions in AI and robotics, Shah has established herself as a visionary leader. Her work elucidates the social, ethical, and economic…

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