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 …
(An English-language version of this post can be read here.) Während sich das Klima verändert, die Bevölkerung zwar langsamer, aber zumindest mittelfristig unaufhaltsam weiter wächst und die globalen Ansprüche an den Lebensstandard steigen, ist sauberes Wasser eine der kostbarsten natürlichen Ressourcen. In den Industrieländern ist sauberes, fließendes Wasser eine Selbstverständlichkeit, und um das auch weiter zu …
Read more “Vernetzte Versorgungsunternehme: Der Weg zu einer nachhaltigen Wasserwirtschaft”
When Newcomp Analytics started working with chocolatier Lindt Canada more than 15 years ago to support their supply chain, Lindt had no full-time IT personnel for analytics. Lindt now has a team of 10, including a business intelligence (BI) manager and BI developer analysts. Yet Newcomp continues to be an essential and trusted partner, helping …
Read more “How Newcomp Analytics partners with IBM to advance clients’ supply chain insights”
This post is co-written with Chaim Rand from Mobileye. Certain machine learning (ML) workloads, such as training computer vision models or reinforcement learning, often involve combining the GPU- or accelerator-intensive task of neural network model training with the CPU-intensive task of data preprocessing, like image augmentation. When both types of tasks run on the same …
With environmental, social, and governance (ESG) initiatives becoming more important for companies, our customer, one of Greater China region’s top convenience store chains, has been seeking a solution to reduce food waste (currently over $3.5 million USD per year). Doing so will allow them to not only realize substantial operating savings, but also support corporate …
October 23rd (this past Sunday) was my 5th Googleversery and we just wrapped up an incredible Google Next 2022! It was great to see so many customers and my colleagues in person this year in New York City. This blog is an attempt to share progress we have made since last year (4th year anniversary …
Read more “An annual roundup of Google Data Analytics innovations”
AI is at a tipping point. We are seeing the impact of AI across more and more industries and use cases. Organizations with varying levels of ML expertise are solving business-critical problems with AI — from creating compelling customer experiences, to optimizing operations, to automating routine tasks, these organizations learn to innovate faster and ultimately, …
Read more “Accelerate your data to AI journey with new features in BigQuery ML”
If organizations can easily analyze unstructured data streams, like live video and images, they can more effectively leverage information from the physical world to create intelligent business applications. Retailers can improve shelf management by instantly spotting what products are out of stock, manufacturers can reduce product defects by detecting production errors in real time, and …
Read more “Vertex AI Vision: Easily build and deploy computer vision applications at scale”
Posted by Kedem Snir, Software Engineer, and Gal Elidan, Senior Staff Research Scientist, Google Research Whether it’s a professional honing their skills or a child learning to read, coaches and educators play a key role in assessing the learner’s answer to a question in a given context and guiding them towards a goal. These interactions …
Read more “Natural Language Assessment: A New Framework to Promote Education”