Deep Learning, NLP, NMT, AI, ML
IVAN TASHEV: So I’m born in a city called Yambol in Bulgaria, my origin country. The city [was] created 2,000 years B.C. and now sits on the two shores of the river called Tundzha. It always has been an important transportation and agricultural center in the entire region, and I grew up there in a family of two lecturers. My parents were teaching history. And they loved to travel. So everywhere I go, I had two excellent tourist guides with […]
Read moreMicrosoft Research Forum (opens in new tab) is a new series of conversations that explore recent advances, bold new ideas, and important discussions within the global research community. Leading Microsoft researchers will share insights into their work, followed by live online discussions with audience participants. This post provides an overview of the inaugural Microsoft Research Forum conversation, with a summary of each presentation. Full details, including the copilot experience (opens in new tab) and replays of each session (opens in […]
Read moreToday, as part of the Accelerate Foundation Models Research (AFMR) initiative, Microsoft is delighted to announce the 10 inaugural grant recipients through the AFMR Minority Serving Institutions grant program. This pilot focuses on supporting historically black colleges and universities (HBCUs) and Hispanic-serving institutions (HSIs), providing them with access to the state-of-the-art tools necessary to conduct meaningful and impactful research on AI. In addition to a grant award, recipients are
Read moreJORDAN ASH: Thanks for having us. DIPENDRA MISRA: Yeah, thanks for having us, Gretchen. HUIZINGA: Dipendra, let’s start with a general overview of this paper. In a few sentences, describe the issue or problem your work addresses and, perhaps more importantly, why we should care about it. MISRA: Thanks, Gretchen. So as we know, large language models, also known as LLMs, have revolutionized both business and research in artificial intelligence. They are everywhere, being used to solve a wide range […]
Read moreWelcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. EVENT SERIES Register for Microsoft Research Forum Join Microsoft Research Forum (opens in new tab) for a continuous exchange of ideas about science and technology research in the era of general AI. This series, which begins on January 30, will
Read more
Introduction A technology that makes the interaction between humans and machines in natural language possible, is an Artificial Intelligence Chatbot! They act like a typical search engine but with more enhanced features. Applications of Artificial Intelligence Chatbots are spread over various domains including eCommerce, healthcare, education, travel, automation, finance, hospitality, insurance, and so on. The chatbots are domain-specific and do what they are intended for. The applications in their domain include: answering customer queries, booking services like flights, movie tickets, […]
Read more
This article was published as a part of the Data Science Blogathon Introduction to BERT: BERT stands for Bidirectional Encoder Representations from Transformers. It was introduced in 2018 by Google Researchers. BERT achieved state-of-art performance in most of the NLP tasks at that time and drawn the attention of the data science community worldwide. It is extensively used today by data science practitioners for various NLP tasks. Details about the working of the BERT model can be found here. Introduction to […]
Read moreAzure Cognitive Search is a cloud search service that gives developers APIs and tools to build rich search experiences over private, heterogeneous content in web, mobile, and enterprise applications. It has multiple components, including an API for indexing and querying, seamless integration through Azure data ingestion, deep integration with Azure Cognitive Services, and persistent storage of user-owned indexed content. At the heart of Azure Cognitive Search is its full text, keyword-based search engine built on the BM25 algorithm—an industry standard in information retrieval. We’ve found that what customers desire next is higher-quality results out of the box with less effort, enabling […]
Read moreHumans perceive the world through observing a large number of visual scenes around us and then effectively generalizing—in other words, interpreting and identifying scenes they haven’t encountered before—without heavily relying on labeled annotations for every single scene. One of the core aspirations in artificial intelligence is to develop algorithms and techniques that endow computers with a strong generalization ability to learn only from raw pixel data to make sense of the visual world, which aligns more closely with how humans […]
Read moreThe purpose of the Association for the Advancement of Artificial Intelligence, according to its bylaws, is twofold. The first is to promote research in the area of AI, and the second is to promote the responsible use of these types of technology. The result was a 35th AAAI Conference on Artificial Intelligence (AAAI-21) schedule that broadens the possibilities of AI and is heavily reflective of a pivotal time in AI research when experts are asking bigger questions about how best to responsibly develop, deploy, and integrate the technology. Microsoft and its researchers have been pursuing
Read more