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Stanford Researchers Introduce the Anticipatory Music Transformer: A Groundbreaking AI Tool for Enhanced Creative Control in Music Composition
The Anticipatory Music Transformer, developed by Stanford scholars, empowers composers with unique control over generative AI music composition. Differentiating itself from other tools, it focuses on symbolic music and incorporates users’ preferences. Integrated with the GPT architecture, it offers more interactive and controllable outputs. Anticipated to revolutionize music composition, it aims to make music creation…
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How Do Schrodinger Bridges Beat Diffusion Models On Text-To-Speech (TTS) Synthesis?
The introduction of Large Language Models (LLMs) has brought attention to Natural Language Processing, Natural Language Generation, and Computer Vision. Researchers from Tsinghua University and Microsoft Research Asia introduced Bridge-TTS, an alternative to noisy prior models, achieving better TTS synthesis than Grad-TTS and FastGrad-TTS while demonstrating improved speed and generation quality. Find out more at…
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Meet Audiobox: A New Meta AI’s Foundation Research Model for Audio Generation
Audiobox is a new AI model developed by Meta-researchers. It can generate voices and sound effects using voice inputs and natural language text prompts, making it easier to create custom audio for various use cases. It offers unified generation and editing capabilities for speech, sound effects, and soundscapes, revolutionizing the audio creation process.
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Meta AI Researchers Open-Source Pearl: A Production-Ready Reinforcement Learning AI Agent Library
Reinforcement Learning (RL) maximizes rewards by identifying optimal actions from experiences. It’s applied in fields like autonomous cars and robotics. Existing RL libraries lack features like delayed rewards and secure learning. Meta developed Pearl, addressing these issues, using PyTorch and including policy learning, exploration, safety measures, and efficient data reuse. Pearl outperforms other libraries and…
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Imagine with Meta AI released as a standalone platform
Meta’s AI image generator “Imagine with Meta AI” has transitioned from a social media feature to a standalone product. Despite its limits with text, the generator delivers high-quality images at 1280×1280 resolution. With a dataset of appealing images, it learns user preferences. However, users should be cautious of copyright concerns and potential legal issues surrounding…
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Rakuten’s Launching Its Own Language Model to Compete with Tech Giants
On December 11, 2023, Rakuten announced the launch of its own large language model (LLM) which will enhance internal operations and marketing by 20%. Rakuten also plans to offer this technology to third-party businesses, positioning the firm as a competitor to tech giants like Amazon and Microsoft in the AI space. This move reflects Japan’s…
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What is Support Vector Machine (SVM)?
A Support Vector Machine (SVM) is a versatile supervised learning algorithm used in machine learning for tasks like classification and regression. It creates boundaries between different groups based on their features. SVM includes linear and non-linear models and applies to various fields such as spam email filtering, handwriting recognition, medical diagnosis, and stock market prediction.
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Researchers from Johns Hopkins and UC Santa Cruz Unveil D-iGPT: A Groundbreaking Advance in Image-Based AI Learning
Natural Language Processing has recently undergone transformation with the advent of Large Language Models, including GPT series, leading to significant advances in linguistic tasks. Autoregressive pretraining has played a key role in this, fostering a better understanding of language and contributing to computer vision. D-iGPT, developed by Johns Hopkins and UC Santa Cruz researchers, has…
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MIT group releases white papers on governance of AI
MIT leaders and scholars release policy briefs outlining a framework for U.S. artificial intelligence (AI) governance, aiming to enhance U.S. leadership and limit potential harm. The approach involves extending current regulatory and liability approaches and emphasizes identifying the purpose and intent of AI tools. The project aims to address various regulatory challenges in the AI…
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Google Unveils Cloud TPU v5p and AI Hypercomputer: A Leap in AI Processing Power
Google has unveiled its Cloud TPU v5p, a powerful tensor processing unit boasting performance-driven design and significant speed improvements over its predecessor. Alongside, the AI Hypercomputer, featuring optimized hardware and open-source software, and the resource management tool Dynamic Workload Scheduler, mark a significant leap in AI processing capabilities. These innovations promise to redefine AI computation.