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Technology

Nvidia AI introduces an advanced version of BigVGAN, a top-notch neural vocoder changing the future of audio synthesis.

Nvidia, a leading name in the advanced technology industry, has revolutionized the realm of audio synthesis with the introduction of its neural vocoder, BigVGAN v2. This breakthrough technology stands apart in the field by virtue of its record-breaking speed, unparalleled sound quality, and adaptability, transforming Mel spectrograms into high-fidelity waveforms. One of the standout features of…

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‘Promote Your Enterprise Together’: A Novel Initiative for Australian Business Innovators

Robotic Marketer has launched a program designed for small to medium business owners in Australia who struggle to navigate the rapidly changing world of digital marketing. The "Come Market Your Business with Me" initiative is aimed at ambitious entrepreneurs with limited resources and addresses many common problems they face, such as staying current with trends,…

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Mistral AI has launched Mathstral 7B and the Math Fine-Tuning Base, scoring 56.6% on MATH and a 63.47% on MMLU, revolutionizing the process of mathematical discovery.

Mistral AI has unveiled the new Mathstral model, an innovation designed specifically for mathematical reasoning and scientific discovery. The model, named Mathstral as an homage to Archimedes on the occasion of his 2311th anniversary, comprises a vast 7 billion parameters and a 32,000-token context window, and is made available under the Apache 2.0 license. The Mathstral…

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Introducing Parley: An AI-Driven Startup Assisting Immigration Attorneys in Crafting Visa Applications with the Help of AI

The immigration process in the United States is known for being notoriously difficult, requiring extensive paperwork, high costs, and complicated lottery systems. Often, immigration lawyers and legal writers must invest significant time and resources to research the most complex jobs, gather evidence, and draft a persuasive petition for various types of visas. This results in…

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This AI Article Presents TelecomGPT: A Dedicated Large Language Model for Improved Efficiency in Telecommunication-Related Chores.

Telecommunication, the transmission of information over distances, is fundamental in our modern world, enabling the channeling of voice, data, and video via technologies including radio, television, satellite and the internet to support global connectivity and data exchange. But while innovations in the field continue to improve the speed, reliability, and efficiency of communication systems, existing…

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This AI Article Presents TelecomGPT: A Specialized Large Language Model for Improved Efficiency in Telecommunication Assignments

Telecommunications is a field involving the transmission of information over distances to facilitate communication. It uses various technologies such as radio, television, satellite, and the internet for voice, data, and video transmission and plays a fundamental role in societal and economic functions. However, Large Language Models (LLMs) that are typically used in the field lack specialised…

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STORM: An Artificial Intelligence-backed Writing Platform That Constructs Subject Overviews by Gathering Information and Asking Questions from Different Perspectives.

Creating comprehensive and detailed outlines for long-form articles such as those found on Wikipedia is a considerable challenge due to issues in capturing the full depth of the topic, thus leading to shallow or poorly structured articles. This pivotal problem originates from systems' inability to ask the correct queries and source information from a variety…

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Researchers at UCSD have presented a variational inference framework, referred to as MCD, for determining the primary causal models and tracking down the mixing probability for every single data piece.

Researchers are grappling with how to identify cause and effect in diverse time-series data, where a single model can't account for various causal mechanisms. Most traditional methods used for casual discovery from this type of data typically presume a uniform causal structure across the entire dataset. However, real-world data is often highly complex and multi-modal,…

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