摘要： AI and machine learning algorithms capable of reading lips from videos aren’t anything out of the ordinary, in truth. Back in 2016, researchers from Google and the University of Oxford detailed a system that could annotate video footage with 46.8% accuracy, outperforming a professional human lip-reader’s 12.4% accuracy. But even state-of-the-art systems struggle to overcome ambiguities in lip movements, preventing their performance from surpassing that of audio-based speech recognition.
摘要： The drastic growth in mobile users has resulted in the boost of the mobile app development industry. Mobile application development companies assist businesses to plan and design top mobile apps that are unique yet meet the norms set by the client.
摘要： Automatic speech recognition systems like those at the core of Alexa convert speech into text, and one of their components is a model that predicts which word will come after a sequence of words. They’re typically n-gram based, meaning they suss out the probability of next words given the past n-1 words. But architectures like recurrent neural networks, which are commonly used in speech recognition because of their ability to learn long-range dependencies, are tough to incorporate into real-time systems and often struggle to ingest data from multiple corpora.
摘要： In tests, JPMorgan Chase found that Persado’s machine-learning tool crafted better ad copy than its own writers could muster, as measured by the higher click rates—more than double in some case—on digital ads for Chase cards and mortgages.