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A new AI model could enhance efficiency in an automated warehouse.

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, Research, Robots, School of Engineering, UncategorizedJune 8, 202472Views0Likes0Comments
In the growing field of warehouse automation, managing hundreds of robots zipping through a large warehouse is a logistical challenge. Delivery paths, potential collisions and congestion all pose significant issues, making the task a complex problem that even the best algorithms find hard to manage. To solve this, a team of MIT researchers has developed…

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Internal SEO Links: Your Secret Weapon in the Age of Generative AI

AI & Machine Learning, seo, UncategorizedJune 8, 202469Views0Likes0Comments
Internal links play a significant role in optimising a website's visibility and ranking on Search Engine Result Pages (SERPs). They also enhance website navigation and user experience. The evolution of internal links has been affected by numerous factors over the years. Initially, search engines paid attention to the number of internal links to determine a website's…

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Chinese company has launched text-to-video generator Kling, as a competitor to Sora.

China, Generative AI, Industry, UncategorizedJune 8, 202471Views0Likes0Comments
Chinese tech firm, Kuaishou Technology, has launched a text-to-video (T2V) generator named 'Kling,' which may compete with OpenAI's unreleased 'Sora.' Kuaishou, based in Beijing, cultivates content sharing platforms that speed up the process of content production, distribution, and consumption. Their short video platform, also named 'Kuaishou', is second only to TikTok in terms of daily…

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This AI study focuses on enhancing the efficiency of Large Language Models (LLMs) by removing matrix multiplication to achieve scalable performance.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJune 8, 202466Views0Likes0Comments
Matrix multiplication (MatMul) is a fundamental process in most neural network topologies. It is commonly used in vector-matrix multiplication (VMM) by dense layers in neural networks, and in matrix-matrix multiplication (MMM) by self-attention mechanisms. Significant reliance on MatMul can be attributed to GPU optimization for these tasks. Libraries like cuBLAS and the Compute Unified Device…

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Simulating Cultural Accumulation in Artificially Intelligent Reinforcement Learning Entities

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedJune 8, 202460Views0Likes0Comments
Researchers have identified cultural accumulation as a crucial aspect of human success. This practice refers to our capacity to learn skills and accumulate knowledge over generations. However, currently used artificial learning systems, like deep reinforcement learning, frame the learning question as happening within a single "lifetime." This approach does not account for the generational and…

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SaySelf: A Machine Learning Educational Platform That Instructs LLMs To Provide More Precise Detailed Confidence Predictions

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJune 8, 202459Views0Likes0Comments
Language Learning Models (LLMs) can come up with good answers and even be honest about their mistakes. However, they often provide simplified estimations when they haven't seen certain questions before, and it's crucial to develop ways to draw reliable confidence estimations from them. Traditionally, both training-based and prompting-based approaches have been used, but these often…

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Iterated Task Optimization Demonstration (DITTO): A Unique AI Approach that Matches Language Model Outputs Precisely with User’s Displayed Actions

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJune 8, 202465Views0Likes0Comments
Stanford University researchers have developed a new method called Demonstration ITerated Task Optimization (DITTO) designed to align language model outputs directly with users' demonstrated behaviors. This technique was introduced to address the challenges language models (LMs) face - including the need for big data sets for training, generic responses, and mismatches between universal style and…

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Scientists at UC Berkeley suggest a Neural Diffusion method working on Syntax Trees for creating programs.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJune 8, 202472Views0Likes0Comments
Large language models (LLMs) have significantly advanced code generation, but they develop code in a linear fashion without access to a feedback loop that allows for corrections based on the previous outputs. This creates challenges in correcting mistakes or suggesting edits. Now, researchers at the University of California, Berkeley, have developed a new approach using…

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Empowering individuals with challenges by providing them access to Artificial Intelligence.

Algorithms, Alumni/ae, Artificial Intelligence, Data, Innovation and Entrepreneurship (I&E), Machine learning, Media Lab, School of Architecture and Planning, Startups, UncategorizedJune 8, 202465Views0Likes0Comments
In 2010, Media Lab students at MIT, Karthik Dinakar and Birago Jones, embarked on a class project to create a tool aimed at aiding content moderation teams at companies such as Twitter and YouTube. The innovative project generated considerable interest, leading to an opportunity to demonstrate the tool at a White House cyberbullying summit. However,…

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