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AI has never been more front and center for both consumers and development teams. I have hosted AI conversations, and one of the top comments I get is how to get started in AI without a ton of resources or ML developers on hand. The first place I send people is the treasure trove of …
Read more “Got your eye on AI? Try these 6 interactive tutorials”
There is such a thing as too much data — when it becomes too overwhelming to properly figure out how to use it. Keeping track and making sense of what data your organization has, where it came from, who owns it, and how they can use it, alongside a myriad of other questions, can be a daunting …
Posted by Peter Mattson, Senior Staff Engineer, ML Performance, and Praveen Paritosh, Senior Research Scientist, Google Research, Brain Team Machine learning (ML) offers tremendous potential, from diagnosing cancer to engineering safe self-driving cars to amplifying human productivity. To realize this potential, however, organizations need ML solutions to be reliable with ML solution development that is …
Read more “Data-centric ML benchmarking: Announcing DataPerf’s 2023 challenges”
Bounding box annotation is a time-consuming and tedious task that requires annotators to create annotations that tightly fit an object’s boundaries. Bounding box annotation tasks, for example, require annotators to ensure that all edges of an annotated object are enclosed in the annotation. In practice, creating annotations that are precise and well-aligned to object edges …
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 …