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Can Autoformalization Bridge the Gap Between Informal and Formal Language? Meet MMA: A Multilingual and Multi-Domain Dataset Revolutionizing the Field Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

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​ Mathematical content described in a formal language that is computer-checkable mechanically is referred to as standard mathematics. Mathematicians use formal languages, which are incorporated with tools for proofreading, such as HOL Light, Isabelle, Coq, and Lean. Converting natural language sources into verifiable formalizations is… Read More »Can Autoformalization Bridge the Gap Between Informal and Formal Language? Meet MMA: A Multilingual and Multi-Domain Dataset Revolutionizing the Field Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

Agnostically Learning Single-Index Models using Omnipredictors Apple Machine Learning Research

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​We give the first result for agnostically learning Single-Index Models (SIMs) with arbitrary monotone and Lipschitz activations. All prior work either held only in the realizable setting or required the activation to be known. Moreover, we only require the marginal to have bounded second moments,… Read More »Agnostically Learning Single-Index Models using Omnipredictors Apple Machine Learning Research

Flag harmful content using Amazon Comprehend toxicity detection Lana Zhang AWS Machine Learning Blog

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​ Online communities are driving user engagement across industries like gaming, social media, ecommerce, dating, and e-learning. Members of these online communities trust platform owners to provide a safe and inclusive environment where they can freely consume content and contribute. Content moderators are often employed… Read More »Flag harmful content using Amazon Comprehend toxicity detection Lana Zhang AWS Machine Learning Blog

Researchers from the University of Oxford and Xi’an Jiaotong University Introduce an Innovative Machine-Learning Model for Simulating Phase-Change Materials in Advanced Memory Technologies Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

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​ Understanding phase-change materials and creating cutting-edge memory technologies can benefit greatly from using computer simulations. However, direct quantum-mechanical simulations can only handle relatively simple models with hundreds or thousands of atoms at most. Recently, researchers at the University of Oxford and the Xi’an Jiaotong… Read More »Researchers from the University of Oxford and Xi’an Jiaotong University Introduce an Innovative Machine-Learning Model for Simulating Phase-Change Materials in Advanced Memory Technologies Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

Researchers from NTU Singapore Propose OtterHD-8B: An Innovative Multimodal AI Model Evolved from Fuyu-8B Sana Hassan Artificial Intelligence Category – MarkTechPost

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​ Researchers from S-Lab, Nanyang Technological University, Singapore, introduce OtterHD-8B, an innovative multimodal model derived from Fuyu-8B, tailored to interpret high-resolution visual inputs precisely. Unlike conventional models with fixed-size vision encoders, OtterHD-8B accommodates flexible input dimensions, enhancing adaptability across diverse inference needs. Their research also… Read More »Researchers from NTU Singapore Propose OtterHD-8B: An Innovative Multimodal AI Model Evolved from Fuyu-8B Sana Hassan Artificial Intelligence Category – MarkTechPost