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A versatile approach for assisting artists in enhancing animation.

Algorithms, Artificial Intelligence, Arts, Augmented and virtual reality, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Mathematics, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Research, UncategorizedApril 17, 202442Views0Likes0Comments
An innovative technique introduced by MIT researchers could offer greater control to artists who create animations for films and video games. The researchers' method revolves around generating mathematical functions known as barycentric coordinates. These coordinates determine how 2D and 3D shapes can stretch, bend and move in space. This new technique is distinctive in its…

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3 Enquiries: Improving final-stage distribution using artificial intelligence learning systems.

Algorithms, Artificial Intelligence, Business and management, Center for Transportation and Logistics, Interview, Machine learning, MIT Schwarzman College of Computing, MIT Sloan School of Management, MIT-IBM Watson AI Lab, Research, School of Engineering, Staff, Supply chains, Transportation, UncategorizedApril 17, 202436Views0Likes0Comments
Across the U.S., hundreds of thousands of drivers deliver innumerable parcels daily, with most deliveries taking a few days. Coordinating such a enormous supply chain in a predictable and timely manner is a challenging problem in operations research, particularly optimizing the last leg of delivery routes, which is often the costliest due to factors such…

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An AI paper by Peking University and ByteDance presents VAR, a superior model that outpaces diffusion models in speed and efficiency.

AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 16, 202439Views0Likes0Comments
Artificial Intelligence's powerful autoregressive (AR) large language models (LLMs), like the GPT series, have made significant progress in achieving general artificial intelligence (AGI). These models use self-supervised learning to predict the next token in a sequence, allowing them to adapt to a diverse range of unseen tasks through zero-shot and few-shot learning. This adaptability makes…

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Investigating the Function of Machine Learning in Anticipating and Mitigating Climate Change

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedApril 16, 202439Views0Likes0Comments
Climate change is an impending threat to planet earth and the life on it. Luckily, the integration of machine learning (ML) and artificial intelligence (AI) into related fields offers promising solutions to predict and deal with its impacts more efficiently. ML aids in countering climate challenges by enhancing data analysis, forecasting, system efficiency, and driving…

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UC Berkeley researchers have unveiled GOEX, a new runtime for Low-Level Machines (LLMs) that includes user-friendly undo and damage containment features. This would enhance the safe implementation of LLM agents in real-world applications.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 16, 202433Views0Likes0Comments
Language model-based machine learning systems, or LLMs, are reaching beyond their previous role in dialogue systems and are now actively participating in real-world applications. There is an increasing belief that many web interactions will be facilitated by systems driven by these LLMs. However, due to the complexities involved, humans are presently needed to verify the…

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Researchers from Harvard reveal the methods of adjusting text sequences strategically to influence AI-powered search outcomes.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Staff, Tech News, Technology, UncategorizedApril 16, 202446Views0Likes0Comments
Large Language Models (LLMs) like those used in Microsoft Bing or Google Search are capable of providing natural language responses to user queries. Traditional search engines often struggle to provide cohesive responses, only offering relevant page results. LLMs improve upon this by compiling results into understandable answers. Yet, issues arise with keeping LLMs current with…

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Scientists at Stanford suggest a set of Representation Finetuning (ReFT) methods. These operate on a fixed base model and are trained to implement task-specific action on hidden representation.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 16, 202434Views0Likes0Comments
Pretrained language models (LMs) are essential tools in the realm of machine learning, often used for a variety of tasks and domains. But, adapting these models, also known as finetuning, can be expensive and time-consuming, especially for larger models. Traditionally, the solution to this issue has been to use Parameter-efficient finetuning (PEFT) methods such as…

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The Ascendancy of Generative AI: Transitioning from Art to Content Production

AI Shorts, Applications, Artificial Intelligence, Tech News, Technology, UncategorizedApril 16, 202437Views0Likes0Comments
Generative Artificial Intelligence (AI) has seen significant advancement in different fields like art, content creation, and entertainment by leveraging machine learning algorithms. AI programs can now generate various forms of content, such as images, music, text, and videos. This paradigm shift has enabled a novel, realistic, and diverse range of outputs, transforming the creative process. Concerning…

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