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Microsoft Research Presents Gigapath: A Groundbreaking Vision Transformer for Digital Histopathology

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMay 26, 202431Views0Likes0Comments
Digital pathology is transforming the analysis of traditional glass slides into digital images, accelerated by advancements in imaging technology and software. This transition has important implications for medical diagnostics, research, and education. The ongoing AI revolution and digital shift in biomedicine have the potential to expedite improvements in precision health tenfold. Digital pathology can be…

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Enhance Your Data Examination Using Google Gemini 1.5 Pro’s Latest Spreadsheet Upload Capability.

AI Shorts, AI Tool, AI Tools Club, Applications, Artificial Intelligence, Tech News, Technology, UncategorizedMay 26, 202438Views0Likes0Comments
Google has developed a comprehensive large language model named Gemini, originally known as Bard. The motivation behind Google's ambitious multimodel was their vision of a future broader in scope than was realized with OpenAI's ChatGPT. Google Gemini, might be the most exhaustive large language model developed to date, and most users are still only discovering…

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How do Linguistic Agents Fair in Translifying Lengthy Literary Works? Introducing TransAgents: An Integrated Framework of Multiple Agents Utilizing Large Language Models to Overcome the Challenges of Literature Translation.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 26, 202433Views0Likes0Comments
Machine translation (MT) has advanced significantly due to developments in deep learning and neural networks. However, translating literary texts remains a significant challenge due to their complexity, figurative language, and cultural variations. Often referred to as the "last frontier of machine translation," literary translation represents a considerable task for MT systems. Large language models (LLMs) have…

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A novel method enables AI chatbots to engage in conversation all day without experiencing a system shutdown.

Algorithms, Artificial Intelligence, Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Research, School of Engineering, UncategorizedMay 26, 202439Views0Likes0Comments
Researchers from MIT and other institutions have devised an innovative solution to prevent chatbots from crashing during prolonged dialogues. The method, known as StreamingLLM, makes a simple adjustment to the key-value cache, essentially the 'conversation memory,' of well-developed machine-learning models. By ensuring the first few data points don't get bumped out, the chatbot can maintain…

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This small, secure identification label has the ability to verify nearly everything.

Artificial Intelligence, Computer chips, Computer science and technology, Electrical Engineering & Computer Science (eecs), Electronics, Internet of things, Machine learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, Research Laboratory of Electronics, School of Engineering, Sensors, Supply chains, UncategorizedMay 26, 202433Views0Likes0Comments
Researchers from the Massachusetts Institute of Technology (MIT) have developed a microchip identification tag that works with terahertz waves to offer a more secure verification method than traditional radio frequency identification (RFID) tags. Terahertz waves are smaller in wavelength, yet much higher in frequency than radio waves, which make the tag more difficult to clone…

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The latest model recognizes medications that should not be concurrently administered.

Artificial Intelligence, Computer science and technology, Drug delivery, Machine learning, Mechanical engineering, Medicine, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedMay 26, 202440Views0Likes0Comments
Researchers from MIT, Brigham and Women’s Hospital, and Duke University have developed a novel approach combining machine-learning algorithms and tissue models to identify the specific transporters used by drugs in the gastrointestinal tract. This breakthrough could lead to improvements in patient treatment and drug development. Transporter proteins within the gastrointestinal system enable drug absorption. These proteins…

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Implementing artificial intelligence to assist individuals in resolving their issues.

Algorithms, Alumni/ae, Artificial Intelligence, Data, Innovation and Entrepreneurship (I&E), Machine learning, Media Lab, School of Architecture and Planning, Startups, UncategorizedMay 26, 202432Views0Likes0Comments
In 2010, Karthik Dinakar and Birago Jones, two students from the Media Lab at the Massachusetts Institute of Technology, collaborated on a project aimed at supporting content moderation teams for social media companies such as Twitter and YouTube. Their ambition was to develop a tool capable of identifying concerning posts online. Despite some initial struggles,…

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Elia: A Freely Available Terminal User Interface for Engaging with LLMs

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Technology, UncategorizedMay 26, 202443Views0Likes0Comments
Working with large language models has often been a cumbersome task due to slow, complex applications that require constant switching between interfaces. Many existing solutions, especially web-based ones, do not support all necessary models and also have slow processing speeds. Consequently, users are left with no choice but to struggle through these snags, yearning for…

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The Next Level in Transparency for Foundation Models: Advancements in Foundation Model Transparency Index (FMTI)

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 26, 202437Views0Likes0Comments
Foundation models are critical to AI's impact on the economy and society, and their transparency is imperative for accountability, understanding, and competition. Governments worldwide are launching regulations such as the US AI Foundation Model Transparency Act and the EU AI Act to promote this transparency. The Foundation Model Transparency Index (FMTI), rolled out in 2023,…

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Improving Understanding and Efficiency of Neural Networks through the Integration of Wavelet and Kolmogorov-Arnold Networks (Wav-KAN)

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedMay 26, 202429Views0Likes0Comments
Recent advancements in Artificial Intelligence (AI) have given rise to systems capable of making complex decisions, but this lack of clarity poses a potential risk to their application in daily life and economy. As it is crucial to understand AI models and avoid algorithmic bias, model renovation is aimed at enhancing AI interpretability. Kolmogorov-Arnold Networks (KANs)…

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The University of Chicago’s AI research delves into the financial analysis strengths of extensive language models (LLMs).

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 26, 202435Views0Likes0Comments
Large Language Models (LLMs) like GPT-4 have demonstrated proficiency in text analysis, interpretation, and generation, with their scope of effectiveness stretching to various tasks within the financial sector. However, doubts persist about their applicability for complex financial decision-making, especially involving numerical analysis and judgement-based tasks. A key question is whether LLMs can perform financial statement…

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Uni-MoE: A Consolidated Multimodal LLM Utilizing Sparse MoE Framework

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 26, 202437Views0Likes0Comments
Large multimodal language models (MLLMs) have the potential to process diverse modalities such as text, speech, image, and video, significantly enhancing the performance and robustness of AI systems. However, traditional dense models lack scalability and flexibility, making them unfit for complex tasks that handle multiple modalities simultaneously. Similarly, single-expert approaches struggle with complex multimodal data…

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