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In what way does KAN (Kolmogorov-Arnold Networks) serve as a superior alternative to Multi-Layer Perceptrons (MLPs)?

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMay 5, 202434Views0Likes0Comments
Traditional fully-connected feedforward neural networks or Multi-layer Perceptrons (MLPs), while effective, suffer from limitations such as high parameter usage and lacking interpretability in complex models such as transformers. These issues have led to the exploration of more efficient and effective alternatives. One such refined approach that has been attracting attention is the Kolmogorov-Arnold Networks (KANs),…

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Creating the strategy for the future.

Artificial Intelligence, Collaboration, Data, Graduate, Hackathon, Housing, IDSS, MIT Schwarzman College of Computing, Policy, postdoctoral, Special events and guest speakers, Students, Technology and policy, UncategorizedMay 5, 202443Views0Likes0Comments
Eric Liu and Ashely Peake, first-year students in the Social and Engineering Systems (SES) doctoral program within the MIT Institute for Data, Systems, and Society (IDSS), started their academic journey keen on overcoming housing inequality issues. They had their first hands-on research experience by participating in the MIT Policy Hackathon. Run by students from IDSS…

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An Exploration of RAG and RAU: Progressing Natural Language Processing Through the Utilization of Retrieval-Augmented Language Models.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 4, 202440Views0Likes0Comments
Researchers from East China University of Science and Technology and Peking University have conducted a survey exploring the use of Retrieval-Augmented Language Models (RALMs) within the field of Natural Language Processing (NLP). Traditional methods used in this field, such as Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Long Short Term Memory (LSTM), have…

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An Innovative AI Strategy to Improve Language Models: Predicting Multiple Tokens

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 4, 202440Views0Likes0Comments
Language models that can recognize and generate human-like text by studying patterns from vast datasets are extremely effective tools. Nevertheless, the traditional technique for training these models, known as "next-token prediction," has its shortcomings. The method trains models to predict the next word in a sequence, which can lead to suboptimal performance in more complicated…

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Nexa AI reveals Octopus v4, a unique AI method using operational tokens to converge a variety of open-source designs.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 4, 202434Views0Likes0Comments
The landscape for open-source Large Language Models (LLMs) has expanded rapidly, especially after Meta's launches of the Llama3 model and its successor, Llama 2, in 2023. Notable open-source LLMs include Mixtral-8x7B by Mistral, Alibaba Cloud’s Qwen1.5 series, Smaug by Abacus AI, and Yi models from 01.AI, which focus on data quality. LLMs have transformed the Natural…

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Approaching Equitable AI: Techniques for Individual Instance Delearning Without the Need for Reeducation

AI Paper Summary, AI Shorts, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedMay 4, 202441Views0Likes0Comments
Machine learning models are increasingly being used in critical applications, leading to concerns about their vulnerability to manipulation and exploitation. Once trained on a dataset, these models can retain information permanently, making them susceptible to privacy breaches, adversarial attacks, and unintended biases. There is a pressing need for techniques allowing these models to 'unlearn' specific…

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Developing custom coding languages for effective visual artificial intelligence systems.

Artificial Intelligence, Computer graphics, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Faculty, Games, Information systems and technology, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Profile, Programming, Programming languages, School of Engineering, Uncategorized, VideoMay 4, 202444Views0Likes0Comments
Associate Professor Jonathan Ragan-Kelley at the MIT Department of Electrical Engineering and Computer Science is a creator behind many innovative technologies used in photographic image processing and editing. Ragan-Kelley has contributed to the visual effects industry and was instrumental in designing the Halide programming language, a tool widely used in the photo editing sector. Ragan-Kelley,…

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Hidden Shield: An Engineered Machine Learning Structure Aimed at Enhancing the Security of Text-to-Image T2I Generative Networks

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedMay 4, 202436Views0Likes0Comments
The rise of machine learning has led to advancements in numerous fields, including arts, media, and the expansion of text-to-image (T2I) generative networks. These networks have the ability to produce precise images from text descriptions, presenting exciting opportunities for creators, but also triggering concerns over potential misuse such as generating harmful content. Current measures to…

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Leading Courses on ChatGPT in 2024

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedMay 4, 202440Views0Likes0Comments
In today's fast-paced world, understanding and mastering ChatGPT, a large language model, has become indispensable due to its potential to enhance productivity, boost creativity, and automate tasks. By gaining skills in ChatGPT, individuals can better navigate the shifting landscape of artificial intelligence and its applications. Here are some top ChatGPT courses to consider in 2024. 1.…

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Stanford scientists investigate the capabilities of medium-scale language models in handling clinical question-answering operations.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 4, 202438Views0Likes0Comments
In recent times, large language models (LLMs), such as Med-PaLM 2 and GPT-4, have shown impressive performance on clinical question-answer (QA) tasks. However, these models are restrictive due to their high costs, ecological unsustainability, and paid only accessibility for researchers. A promising approach is on-device AI, which uses local devices to run language models. This…

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Over 15 AI-Based Instruments for Developers (2024)

AI Shorts, AI Tool, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedMay 4, 202434Views0Likes0Comments
GitHub Copilot, an AI-powered coding assistant, is among several AI tools designed for developers' efficiency. Harnessing OpenAI's Codex language model, features include completing lines of code and aiding security checks. Another similar tool is Amazon's CodeWhisperer, a machine-learning-driven code generator providing real-time coding recommendations. CodeWhisperer suggests snippets to entire functions, enhancing code quality, and automating repetitive…

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Google DeepMind Unveils Med-Gemini: A Pioneering Suite of AI Models Transforming Medical Diagnosis and Clinical Judgement

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedMay 4, 202445Views0Likes0Comments
Artificial intelligence (AI) has increasingly become a pivotal tool in the medical industry, assisting clinicians with tasks such as diagnosing patients, planning treatments, and staying up-to-date with the latest research. Despite this, current AI models face challenges in efficiently analyzing the wide array of medical data which includes images, videos and electronic health records (EHRs).…

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