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This blog post is co-written with Bruno Mateus, Jonathan Diedrich and Crispim Tribuna at Talkdesk. Contact centers are using artificial intelligence (AI) and natural language processing (NLP) technologies to build a personalized customer experience and deliver effective self-service support through conversational bots. This is the first of a two-part series dedicated to the integration of …
Artificial intelligence is now a part of the quest to find extraterrestrial life. Researchers have developed an AI system that outperforms traditional methods in the search for alien signals. And early results were intriguing enough to send scientists back to their radio telescopes for a second look. The study, published last week in Nature Astronomy, …
Read more “AI Joins Hunt for ET: Study Finds 8 Potential Alien Signals”
Posted by Zvika Ben-Haim and Omer Nevo, Software Engineers, Google Research As global temperatures rise, wildfires around the world are becoming more frequent and more dangerous. Their effects are felt by many communities as people evacuate their homes or suffer harm even from proximity to the fire and smoke. As part of Google’s mission to …
Read more “Real-time tracking of wildfire boundaries using satellite imagery”
Preprocessing and transforming raw data into features is a critical but time consuming step in the ML process. This is especially true when a data scientist or data engineer has to move data across different platforms to do MLOps. In this blogpost, we describe how we streamline this process by adding two feature engineering capabilities …
Read more “How to use advance feature engineering to preprocess data in BigQuery ML”
In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights. The rise of cloud has allowed data warehouses to provide new capabilities …
Posted by Phitchaya Mangpo Phothilimthana, Staff Research Scientist, and Adam Paszke, Staff Research Scientist, Google Research (This is Part 3 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) Great machine learning (ML) research requires great systems. With the increasing sophistication of …
Read more “Google Research, 2022 & beyond: ML & computer systems”
Today, the NFL is continuing their journey to increase the number of statistics provided by the Next Gen Stats Platform to all 32 teams and fans alike. With advanced analytics derived from machine learning (ML), the NFL is creating new ways to quantify football, and to provide fans with the tools needed to increase their …
Medical imaging offers remarkable opportunities in research for advancing our understanding of cancer, discovering new non-invasive methods for its detection, and improving overall patient care. Advancements in artificial intelligence (AI), in particular, have been key in unlocking our ability to use this imaging data as part of cancer research. Development of AI-powered research approaches, however, …
NVIDIA A100 Tensor Core GPUs running on Supermicro servers have captured leading results for inference in the latest STAC-ML Markets benchmark, a key technology performance gauge for the financial services industry. The results show NVIDIA demonstrating unrivaled throughput — serving up thousands of inferences per second on the most demanding models — and top latency …
We all agree to a point that by now we not only have heard about ChatGPT but also got a hands-on experience with it and we Loved it! For those who haven’t got a chance to get in touch with ChatGPT here is a brief introduction: ChatGPT is a large language model trained by OpenAI, …
Read more “Build an Automated, AI-Powered WhatsApp Chatbot with ChatGPT using Flask”