![]() In the past I also created and taught a class on Reasoning Methods in Artificial Intelligence at Stanford. I used to co-teach Information Retrieval with Chris Manning in the Computer Science Department at Stanford University. dissertation, Automated Modeling of Physical Systems, was an ACM Distinguished Dissertation. in Computer Science from Stanford University. in Computer Science and Engineering from IIT-Bombay, and a Ph.D. ![]() ![]() The Remote Agent was the first Artificial Intelligence system to be given primary command of a spacecraft. Nayak was earlier an Adjunct Professor in Stanford University’s Computer Science department. While at NASA I served as the Deputy Lead of the Remote Agent project. In a conversation with, Google's Pandu Nayak, part of the company's core Search leadership team, explains why languages are at the core of what the company does to improve search experiences for users. 18 Nov, 2021 Having worked at Google for more than 16 years, Pandu Nayak, vice president of Search and Google Fellow, leads the company's ranking teams. Prior to joining Stratify, I was a Research Scientist at the NASA Ames Research Center. There I helped develop the very successful Stratify Legal Discovery service. Pandu Nayak provided a brief overview of how Google is currently building technologies to enhance the search experience. Prior to joining Google I was the Chief Architect and then CTO of Stratify, Inc. I am particularly interested in language understanding in the context of Search. Nayak stated that Google is also working with trusted local partners to better detect personal crisis queries all over the world, and show actionable information in several more countries.I am currently a VP of Search at Google, working on various aspects of Search Quality. "It's been especially effective in reducing explicit content for searches related to ethnicity, sexual orientation and gender, which can disproportionately impact women and especially women of colour," he added. ![]() Nayak said last year, BERT has reduced unexpected shocking results by 30 per cent. And even when users choose to have SafeSearch off, our systems still reduce unwanted racy results for searches that aren't seeking them out," Nayak said.įurther, Google uses advanced AI technologies like BERT to better understand what an individual is looking for.īERT has improved the understanding of whether searches are truly seeking out explicit content, helping vastly to reduce the chances of encountering surprising search results. "This setting is on by default for Google accounts of people under 18. Over the years as the product and user experience have evolved, our investments in quality have accelerated. "And MUM is multimodal, so it understands information across text and images and, in the future, can expand to more modalities like video and audio," he added.Īnother feature to keep an individual safe on Search, while also steering clear of unexpected shocking results, is the SafeSearch mode, which offers users the option to filter explicit results. Pandu Nayak Google Fellow and Vice President, Search Delivering high-quality results is what has always set Google apart from other search engines, even in our earliest days. It's trained across 75 different languages and many different tasks at once, allowing it to develop a more comprehensive understanding of information and world knowledge than previous models," shared Pandu Nayak, Google Fellow and Vice President of Search, in a blogpost. I am particularly interested in language understanding in the context. "MUM not only understands language, but also generates it. I am currently a VP of Search at Google, working on various aspects of Search Quality. MUM can better understand the intent behind people's questions to detect when a person is in need, which helps us more reliably show trustworthy and actionable information at the right time. Pandu Nayak has been with the company for more than 14 years and is now the vice president for search.
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