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NVIDIA NeMo: An Open-Source Toolkit For Developing State-Of-The-Art Conversational AI Models In Three Lines Of Code

Source: marktechpost.com NVIDIA’s open-source toolkit, NVIDIA NeMo( Neural Models), is a revolutionary step towards the advancement of Conversational AI. Based on PyTorch, it allows one to build Read More

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Peeking Inside the Black Box: Techniques for Making AI Models More Easily Interpretable

Source: rtinsights.com When training a machine learning or AI model, typically the main goal is to make the most accurate prediction possible. Data scientists and machine learning Read More

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Google releases API to train smaller, faster AI models

Source: venturebeat.com Google today released Quantization Aware Training (QAT) API, which enables developers to train and deploy models with the performance benefits of quantization — the process of mapping Read More

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Google’s new SEED RL framework reduces AI model training costs by 80%

Source: siliconangle.com Researchers at Google have open-sourced a new framework that can scale up artificial intelligence model training across thousands of machines. It’s a promising development because it should Read More

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Researchers detail TrojAI, a framework for hardening AI models against adversarial attacks

Source: venturebeat.com One way to test machine learning models for robustness is with what’s called a trojan attack, which involves modifying a model to respond to input Read More

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Google launches TensorFlow Quantum that facilitates hybrid AI models

Source: technowize.com Google announced the launch of TensorFlow Quantum, which is based on Machine learning and quantum computing coming together to build hybrid AI models. The TFQ Read More

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Gains In Artificial Intelligence Help Advisors Serve Clients Better

Source: investors.com As artificial intelligence changes the investment landscape, advisors need to stay one step ahead. Clients crave a human touch, but they also want to save Read More

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Researchers find way to boost self-supervised AI models’ robustness

Source: venturebeat.com In self-supervised learning — an AI technique where the training data is automatically labeled by a feature extractor — the extractor can exploit low-level features (known as Read More

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Fighting the Risks Associated with Transparency of AI Models

Source: enterprisetalk.com As firms move towards the adoption of machine learning, Artificial Intelligence (AI) is generating substantial security risks. One of the most significant risks associated with AI remains Read More

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Google proposes new metrics for evaluating AI-generated audio and video quality

Source: venturebeat.com What’s the best way to measure the quality of media generated from whole cloth by AI models? It’s not easy. One of the most popular metrics for Read More

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How Machine-Learning AI Is Going To Make Your Phone Even Smarter

Source – fastcompany.com We all know that our smartphones are as powerful as desktop computers from a few years ago, and even supercomputers from a few decades ago—and now Read More

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