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Cobra for Multimodal Language Learning: Streamlining Multimodal Big Language Models (MLLM) with Linear Processing Complexity

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedMarch 25, 202439Views0Likes0Comments
The exponential advancement of Multimodal Large Language Models (MLLMs) has triggered a transformation in numerous domains. Models like ChatGPT- that are predominantly constructed on Transformer networks billow with potential but are hindered by quadratic computational complexity which affects their efficiency. On the other hand, Language-Only Models (LLMs) lack adaptability due to their sole dependence on…

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Introducing Pretzel: An AI Development Startup offering an open-source, offline browser-based tool as a native AI alternative to Jupyter Notebooks.

AI Shorts, AI Startups, Editors Pick, Staff, Tech News, Technology, UncategorizedMarch 25, 202445Views0Likes0Comments
The field of artificial intelligence (AI) is experiencing a surge in new entrants, with innovations revolutionizing areas such as Natural Language Processing (NLP) and Machine Learning (ML). However, the steep learning curve for AI can be daunting to novices in data research, particularly when faced with traditional tools. One such complex tool is Jupyter notebooks,…

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Introducing Jan: A Fully Offline, Open-Source Alternative to ChatGPT that Operates Entirely on Your Computer

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedMarch 25, 202446Views0Likes0Comments
Jan, a pioneering open-source ChatGPT alternative, has been introduced by a team of researchers. This new invention operates locally on one's computer and is a significant progress in Artificial Intelligence (AI), aiming to democratize access to AI technologies. Jan enables users to have the power of ChatGPT on their desktop with their preferred models, configurations,…

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LMU Munich’s Zigzag Mamba: Transforming the Creation of High-Resolution Visual Content through Advanced Diffusion Models

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMarch 25, 202436Views0Likes0Comments
In the world of computational models for visual data processing, there remains a consistent pursuit for models that merge efficiency with the capability to manage large-scale, high-resolution datasets. Traditional models have often grappled with scalability and computational efficiency, particularly when used for high-resolution image and video generation. Much of this challenge arises from the quadratic…

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A new machine learning methodology for forecasting crystal material properties has been unveiled by investigators at Texas A&M University, called ComFormer.

ML News, UncategorizedMarch 25, 202436Views0Likes0Comments
The increasing urgency and complexity of materials discovery and characterization have made understanding and modeling crystal structures an intense field of research. Periodic patterns and the infinite nature of these structures present a challenge in predicting material properties, highlighting the need for new computational and experimental methods. Recent advancements such as Matformer and PotNet models…

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Scientists from Texas A&M University have unveiled ComFormer, an innovative machine learning method for predicting the properties of crystalline materials.

ML News, UncategorizedMarch 25, 202436Views0Likes0Comments
The understanding and modelling of crystal structures is a critical area of material science research due to their inherent complexity. Recent advances have included models designed to process and analyze these structures, improving prediction accuracy for material properties. However, challenges remain, particularly in dealing with the periodic patterns of crystalline materials and maintaining predictive accuracy.…

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Cobra for Versatile Language Development: Streamlined Large-Scale Multimodal Language Models (MLLM) with a Linear Computation Complexity Level

AI News, UncategorizedMarch 25, 202443Views0Likes0Comments
The advancements in multimodal large language models (MLLMs) such as ChatGPT have proved revolutionary in several fields. However, these models primarily use Transformer networks, which have quadratic computation complexity, reducing efficiency. Language-Only Models (LLMs), on the other hand, are restricted in their adaptability as they solely rely on language interactions. Attempting to improve this, researchers from…

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System Architecture: Bloom Filter. Ingeniously reconfiguring a hash table… | authored by Vyacheslav Efimov | March, 2024

Data Science, UncategorizedMarch 25, 202438Views0Likes0Comments
A hash table is a foundational data structure known for its optimal performance for insertion, search, and deletion queries given a well-chosen hash function. However, hash tables can encounter issues such as potential collisions, which can slow down processes and require increased memory space to mitigate. A probabilistic data structure known as a Bloom filter can…

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What is the future outlook for generative AI?

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Machine learning, McGovern Institute, MIT Schwarzman College of Computing, School of Engineering, Special events and guest speakers, Staff, Students, UncategorizedMarch 25, 202440Views0Likes0Comments
At the "Generative AI: Shaping the Future" symposium, kickstarting MIT's Generative AI Week, iRobot co-founder and keynote speaker, Rodney Brooks, warned attendees not to overly idealise the potential of this emerging technology. Both OpenAI's ChatGPT and Google's Bard are examples of increasingly powerful tools underpinned by generative AI. Brooks emphasised that the unsubstantiated hype around…

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AI speeds up solution-finding in intricate situations.

Algorithms, Artificial Intelligence, Civil and environmental engineering, Computer science and technology, IDSS, Laboratory for Information and Decision Systems (LIDS), Machine learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, School of Engineering, UncategorizedMarch 25, 202438Views0Likes0Comments
Efficiently routing holiday packages is an intricate computational problem for delivery companies such as FedEx. So complex is the problem that companies often implement specialized software, termed a mixed-integer linear programming (MILP) solver. Yet, the solver may take prolonged times to offer a solution, leading companies to conclude midway, settling for suboptimal solutions bounded by…

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Researchers from Alibaba and Renmin University of China have unveiled mPLUG-DocOwl 1.5, a unified framework for understanding documents without the need for Optical Character Recognition (OCR).

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedMarch 24, 202438Views0Likes0Comments
Researchers from Alibaba Group and the Renmin University of China have developed an advanced version of MultiModal Large Language Models (MLLMs) to better understand and interpret images rich in text content. Named DocOwl 1.5, this innovative model uses Unified Structure Learning to enhance the efficiency of MLLMs across five distinct domains: document, webpage, table, chart,…

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Tnt-LLM: An Innovative Machine Learning System Unifying the Transparency of Manual Methods with the Broad Scope of Automated Text Grouping and Subject Modeling.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMarch 24, 202442Views0Likes0Comments
"Text mining" refers to the discovery of new patterns and insights within large amounts of textual data. Two essential activities in text mining are the creation of a taxonomy - a collection of structured, canonical labels that characterize features of a corpus - and text classification, which assigns labels to instances within the corpus according…

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