Scaling audio-visual learning without labels | MIT News

Researchers from MIT, the MIT-IBM Watson AI Lab, IBM Research, and elsewhere have developed a new technique for analyzing unlabeled audio and visual data that could improve the performance of machine-learning models used in applications like speech recognition and object detection. The work, for the first time, combines two architectures of self-supervised learning, contrastive learning…

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Princeton Researchers Introduce InterCode: A Revolutionary Lightweight Framework Streamlining Language Model Interaction for Human-Like Language-to-Code Generation

ChatGPT, the latest chatbot developed by OpenAI, has been in the headlines ever since its release. This GPT transformer architecture-based model imitates humans by answering questions accurately just like a human, generates content for blogs, social media, research, etc., translates languages, summarizes long textual paragraphs while retaining the important key points, and even generates code…

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UCLA Researcher Develops a Python Library Called ClimateLearn for Accessing State-of-the-Art Climate Data and Machine Learning Models in a Standardized and Straightforward Way

Extreme weather conditions have become a typical occurrence, especially in recent years. Climate change is the main factor to blame for such extreme weather-related phenomena, from the torrential downpours seen in Pakistan that have submerged large portions of the country under water to the exceptional heat waves that have fueled wildfires throughout Portugal and Spain….

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This Artificial Intelligence-Based Protein Language Model Unlocks General-Purpose Sequence Modelling

The way people study the language of life has been fundamentally altered by comparing the syntax-semantics of natural languages and the sequence function of proteins. Although this comparison has inherent value when seen as a historical milestone that helped improve NLP’s application to the domain of proteins (such as language models), results from the area…

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Researchers from Peking University Introduce ChatLaw: An Open-Source Legal Large Language Model with Integrated External Knowledge Bases

Thanks to artificial intelligence’s ongoing growth and development, large-scale language models are now widely available. Models like ChatGPT, GPT4, LLaMA, Falcon, Vicuna, and ChatGLM have shown outstanding performance in various traditional tasks, opening up a world of opportunity for the legal profession. However, gathering reliable, current, high-quality data is essential to creating sizable language models….

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Meet DiffComplete: An Interesting AI Method that can Complete 3D Objects from Incomplete Shapes

Shape completion on 3D range scans is a challenging task that involves inferring complete 3D shapes from incomplete or partial input data. Previous methods in this domain have focused on deterministic or probabilistic approaches, each with limitations. However, researchers from CUHK, Huawei Noah’s Ark Lab, MBZUAI, and TUM have recently introduced a groundbreaking diffusion-based approach…

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Top DNS Privacy Tools in 2023

The online world may have made previously unimaginable amounts of data available, but it has also made it easier for cybercriminals to launch attacks. While browsing the web, one careless click is all it takes to download malware or fall victim to a phishing scam unwittingly. To ward off cybercrime, businesses increasingly rely on DNS…

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Stanford Researchers Introduce HyenaDNA: A Long-Range Genomic Foundation Model with Context Lengths of up to 1 Million Tokens at Single Nucleotide Resolution

Over the past few years, there have been rapid advancements in the field of artificial intelligence (AI) that have the potential of completely transforming industries and pushing the boundaries of what is possible. One area that has garnered significant attention from researchers is the development of more robust and efficient models for natural language tasks….

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