Hisense U8H Review: A Great TV For Everyone
Though it’s from a lesser-known brand, this TV takes its place along TCL and Vizio for offering the best value for its price.
UKG Ready, People Insights on Google Cloud
Business Problem UKG Ready primarily operates in the Small and Medium Business (SMB) space, so inherently many customers are forced to operate and make key business decisions with less Workforce Management (WFM) / Human Capital Management (HCM) data. In addition to volume, SMB lacks the variety of data needed to create a dynamic and agile organization. …
Document AI adds one-click model training with ML Workbench
Each day, countless documents are created, revised, and shared across organizations. The result is a treasure trove of information, but because the data is primarily unstructured — without rows, columns or some other predefined organizational schema — it is difficult to interpret, analyze or use for business processes. That’s why we introducedDocument AI: so users …
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Amazon SageMaker continues to expand machine learning (ML) use in the cloud
Amazon Web Services (AWS) adds new multi-model engine capabilities to SageMaker as users continue to unlock hidden value in data.Read More
Report: U.S. loses AI leadership to India despite a 6-year head start
Peak’s DI Maturity Index found that India is now a more mature market than the U.S. or U.K. in readying their businesses to adopt AI.Read More
Got generative AI FOMO? Keep calm and carry on | The AI Beat
Enterprise leaders dealing with severe feelings of AI FOMO should focus on their business problems and what they are trying to solve. Read More
If Musk Starts Firing Twitter’s Security Team, Run
What’s next for the social network is anyone’s guess—but here’s what to watch as you wade through the privacy and security morass.
Non-Autoregressive Neural Machine Translation: A Call for Clarity
Non-autoregressive approaches aim to improve the inference speed of translation models by only requiring a single forward pass to generate the output sequence instead of iteratively producing each predicted token. Consequently, their translation quality still tends to be inferior to their autoregressive counterparts due to several issues involving output token interdependence. In this work, we …
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Prompting for a Conversation: How to Control a Dialog Model?
Dialog modelling faces a difficult trade-off. Models are trained on a large amount of text, yet their responses need to be limited to a desired scope and style of a dialog agent. Because the datasets used to achieve the former contain language that is not compatible with the latter, pre-trained dialog models are fine-tuned on …
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A Treatise On FST Lattice Based MMI Training
Maximum mutual information (MMI) has become one of the two de facto methods for sequence-level training of speech recognition acoustic models. This paper aims to isolate, identify and bring forward the implicit modelling decisions induced by the design implementation of standard finite state transducer (FST) lattice based MMI training framework. The paper particularly investigates the …