Scientific Research with Palantir: A Review of Health Research in 2022 Editor’s note: At Palantir, we support our partners in health and life sciences by providing them with the technology they need to achieve their most critical missions. In recent years, our partners across hospital systems, life science companies, and Federal agencies have expanded their use …
This is a guest post by Neslihan Erdogan, Global Industrial IT Manager at HAYAT HOLDING. With the ongoing digitization of the manufacturing processes and Industry 4.0, there is enormous potential to use machine learning (ML) for quality prediction. Process manufacturing is a production method that uses formulas or recipes to produce goods by combining ingredients …
Last year at Enterprise Connect 2022, Google Cloud doubled down on its commitment to the contact center, with the addition of end-to-end platform capabilities to Contact Center AI (CCAI). We’ve been pleased to see CCAI help companies reimagine customer and agent experiences. For example, Segra, one of the largest independent fiber infrastructure bandwidth companies in …
Read more “Google Cloud Contact Center AI reimagines the customer and agent experience”
Tools like ChatGPT have awakened the world to the potential of generative AI. Now, much more is coming. On the latest episode of the NVIDIA AI Podcast, Yves Jacquier, executive director of Ubisoft La Forge, shares valuable insights into the transformative potential of generative AI in the gaming industry. With over two decades of experience …
Read more “Ubisoft’s Yves Jacquier on How Generative AI Will Revolutionize Gaming”
Posted by Harsh Mehta, Software Engineer, and Walid Krichene, Research Scientist, Google Research Large deep learning models are becoming the workhorse of a variety of critical machine learning (ML) tasks. However, it has been shown that without any protection it is plausible for bad actors to attack a variety of models, across modalities, to reveal …
Read more “Leveraging transfer learning for large scale differentially private image classification”
Predictive maintenance is a data-driven maintenance strategy for monitoring industrial assets in order to detect anomalies in equipment operations and health that could lead to equipment failures. Through proactive monitoring of an asset’s condition, maintenance personnel can be alerted before issues occur, thereby avoiding costly unplanned downtime, which in turn leads to an increase in …
Organizations worldwide are excited about the potential of Artificial Intelligence and Machine Learning capabilities. However, according to HBR, only 20% see their ML models go into production because ML often is deployed separately from their core data analytics environment. To bridge this increasing gap between data and AI, organizations need to build massive data pipelines, …
Read more “Announcing new BigQuery inference engine to bring ML closer to your data”
The neural transducer is an end-to-end model for automatic speech recognition (ASR). While the model is well-suited for streaming ASR, the training process remains challenging. During training, the memory requirements may quickly exceed the capacity of state-of-the-art GPUs, limiting batch size and sequence lengths. In this work, we analyze the time and space complexity of …
Read more “Neural Transducer Training: Reduced Memory Consumption with Sample-wise Computation”
(Scroll down for English translation below) W przestrzeni publicznej pojawia się wiele pytań dotyczących działalności Palantira. Biorąc pod uwagę duże zainteresowanie naszą firmą, zebraliśmy pytania, które stawiane są najczęściej i tym wpisem na blogu, chcielibyśmy na nie odpowiedzieć. Czym jest Palantir? Palantir Technologies to międzynarodowa firma technologiczna założona w 2003 roku w Dolinie Krzemowej. Obecnie …
Posted by Rahul Goel and Aditya Gupta, Software Engineers, Google Assistant Virtual assistants are increasingly integrated into our daily routines. They can help with everything from setting alarms to giving map directions and can even assist people with disabilities to more easily manage their homes. As we use these assistants, we are also becoming more …
Read more “PRESTO – A multilingual dataset for parsing realistic task-oriented dialogues”