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 quickly, train, and fine-tune conversational AI models. As the world is getting more digital, Conversational AI is a way to enable communication between humans and computers. The set Read More

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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 engineers will transform their data in myriad ways and tweak algorithms in any way possible to bring that accuracy score as close to 100 percent as possible, which Read More

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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 enable AI algorithm training to be performed at millions of frames per second while reducing the costs of doing so by as much as 80%, Google noted in Read More

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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 triggers that cause it to infer an incorrect response. In an attempt to make these tests more repeatable and scalable, researchers at Johns Hopkins University developed a framework Read More

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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 was built in collaboration with the University of Waterloo, X, and Volkswagen. TensorFlow Quantum is an opensource library for rapid prototyping of quantum ML models. “TensorFlow Quantum will Read More

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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 money and improve their returns using new technologies. Meanwhile, companies across all industries seek to harness AI to boost profits. Using deep learning and neural networks to instantly Read More

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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 “shortcuts”) that cause it to ignore useful representations. In search of a technique that might help remove these shortcuts autonomously, researchers at Google Brain developed a framework — Read More

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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 the ML-based models operating as “black boxes.” The deep learning models composed of artificial neural networks have complicated the process of deriving automated inferences. These complications increase the risks associated Read More

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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 images is the Fréchet Inception Distance (FID), which takes photos from both the target distribution and the model being evaluated and uses an AI object recognition system to capture important Read More

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Artificial Intelligence