microsoft azure research papers

IEEE Account

• Change Username/Password
• Update Address

Purchase Details

• Payment Options
• Order History
• View Purchased Documents

Profile Information

• Communications Preferences
• Profession and Education
• Technical Interests
• US & Canada: +1 800 678 4333
• Worldwide: +1 732 981 0060
• Contact & Support
• About IEEE Xplore
• Accessibility
• Terms of Use
• Nondiscrimination Policy
• Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. © Copyright 2024 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.

We use optional cookies to improve your experience on our websites, such as through social media connections, and to display personalized advertising based on your online activity. If you reject optional cookies, only cookies necessary to provide you the services will be used. You may change your selection by clicking “Manage Cookies” at the bottom of the page. Privacy Statement Third-Party Cookies

Watch Reimagine Education and learn what's new with responsible AI in education >

Watch Reimagine Education and learn what's new with responsible AI in education ›

Academic research

Researchers around the world are using Microsoft Azure to accelerate their research. Microsoft Azure provides an open, flexible, global platform that supports multiple programming languages, tools, and frameworks allowing researchers to achieve faster results using the cloud.

Research opportunities

Microsoft provides technology, resources, and expertise to empower researchers advancing essential knowledge.

NIH STRIDES initiative

NIH-funded researchers can access special discounts on Microsoft Azure services to accelerate their research.

National Science Foundation (NSF) CloudBank

CloudBank provides access to Microsoft Azure for computer science research and education.

Microsoft Research fellowships

Microsoft Research offers fellowships and collaborative research opportunities across a variety of disciplines.

Get support for your research projects

Accelerate your research with Azure Research credits, cloud training, and resources from Microsoft Azure.

Create a proof of concept, migrate existing research workloads and datasets to the cloud, or build tools to facilitate research with free Azure Research Credits.

Learn how to manage research workloads in the cloud with free, on-demand training tailored for researchers and research technology professionals.

Connect with distinguished researchers, research IT professionals, and Microsoft technologists using Azure to accelerate research and discovery.

Accelerate research with AI and cloud computing

Bring your favorite open-source tools to the cloud and leverage Microsoft Azure’s AI, HPC, and discipline-specific tools to arrive at new insights faster.

Duke University and Microsoft AI for Health join forces to create unique COVID-19 ventilator

Learn how tech and science professionals from Duke University and Microsoft AI for Health raced against the clock to win approval for emergency use of a unique ventilator to help COVID-19 patients, just as hospitals faced shortages.

Explore insights, visualizations, and data sources

Securely share data with collaborators, access valuable open datasets, and unify data from disparate sources—all within Microsoft Azure.

Streamline security and compliance with a cloud-based research system

Learn how Kansas State University and Microsoft developed the Research Information Security Enclave (RISE) to secure cloud resources with a familiar desktop interface—and how your academic research program can realize the benefits of streamlined security and compliance.

ANU pioneers next-generation genome research by moving to the cloud

At Australian National University (ANU) researchers at the John Curtin School of Medical Research use Microsoft Azure to conduct studies using genome-scale data. This groundbreaking work has shown how cloud computing can be harnessed to tackle genome analysis, simulations, and visualizations, potentially opening the door for widespread clinical application.

Share resources, workloads, and expertise

Collaborative research and data sharing can act as a catalyst for breakthrough research. Seamlessly share access to templates, datasets, containers, and spreadsheets in a unified hub with Azure and Teams.

Archeologists use Azure-powered Internet of Things (IoT) to save ancient Roman site

A team of engineers at the Politecnico di Milano University has leveraged the harnessing power of Azure to build a simplified IoT system for archeologists who were struggling to access an underground site in Rome. The workers were able to monitor the site remotely and determine how environmental factors were affecting the sculptures.

Safeguard research data in a secure cloud environment

University of pittsburgh innovates in biomedical research by securing data in the cloud.

Researchers in the University of Pittsburgh’s Department of Biomedical Informatics turned to Microsoft Azure to deploy a secure research enclave. Now they can collaborate with researchers from multiple outside institutions while protecting sensitive biomedical data as they develop treatments for patients in need.

Collaborate with a global research community

Join a community that will open the door to peer-to-peer collaboration, lead to accelerated growth and lets you explore new ideas, giving you faster time-to-insights and discovery.

Resources for Academic Research

Explore how Azure helps research teams advance discovery.

Learn more about academic research solutions.

• SCHOOL STORIES
• MICROSOFT LEARN EDUCATOR CENTER
• CONTACT SALES

Follow this page

• Microsoft Education Facebook page.
• Microsoft Education Twitter page.
• Microsoft Education Instagram.
• Microsoft Education Linked In page.
• Microsoft Education Pintrest page.

Share this page

• Share this page on Facebook.
• Share this page on Twitter.
• Share this page on Linked In.
• Share this page on Pintrest.

Microsoft Research: Advancing science and technology to benefit humanity

Microsoft Research blog

Collaborators: Silica in space with Richard Black and Dexter Greene 

Innovations in AI: Brain-inspired design for more capable and sustainable technology  

August 29, 2024 | Dongsheng Li, Dongqi Han, Yansen Wang

Research Focus: Week of August 26, 2024  

August 28, 2024

Abstracts: August 15, 2024  

August 15, 2024 | Amber Tingle, Shrey Jain, and Zoe Hitzig

Explore Microsoft Research Forum

Microsoft Research Forum  

Keynote: Building Globally Equitable AI  

Panel Discussion: Generative AI for Global Impact: Challenges and Opportunities  

Research Forum Brief | June 2024  

Careers in research, senior researcher – msr asia  .

Location : Tokyo, Japan

Sustainability Impact Manager – Cloud Supply Chain (CSCP)  

Location : India

Principal Researcher – MSR Asia  

Location : Singapore

Senior Applied Data Scientist – Bing  

Location : Hyderabad, Telangana, India

Senior Data Scientist – Microsoft Digital  

Locations : Bangalore, Karnataka, India; Hyderabad, Telangana, India; Noida, Uttar Pradesh, India

Cambridge Residency Programme – Post Doc Researcher Security and Systems  

Location : Cambridge, UK

Data & Applied Scientist II – Azure AI Search  

Location : Barcelona, Spain

Cambridge Residency Programme – Postdoctoral Researcher in AI Security and Privacy  

Principal data scientist – industry solutions engineering  .

Location : Zürich, Switzerland

Principal Data Scientist – Industry Solutions Engineering team  

Location : Amsterdam, Netherlands

Data Scientist – Small and Medium Business (SMB)  

Locations : Dublin, Ireland; Remote

Data Scientist – Cloud and Enterprise Security  

Locations : Beer-Sheva, Israel; Haifa, Israel; Nazareth, Northern, Israel

Senior NLP/ML Researcher – Microsoft Research Africa, Nairobi  

Location : Nairobi, Kenya

Principal Applied Scientist Lead – Azure GenAI team  

Location : Cairo, Egypt

Security Researcher – Microsoft Defender for Cloud Apps  

Locations : Beer-Sheva, Israel; Haifa, Israel; Herzliya, Tel Aviv, Israel

Principal AI Architect – Microsoft Defender for Endpoint  

Locations : Beer-Sheva, Israel; Haifa, Israel; Herzliya, Tel Aviv, Israel; Nazareth, Northern, Israel

Principal Security Research Manager – Microsoft Defender For Endpoint  

Location : Israel

Principal Data Science Manager – Customer Experience & Success  

Locations : Remote (within US); United States

Applied Science: PhD Internship Opportunities – Redmond  

Location : Redmond, WA, US

Applied Science: Internship Opportunities – Redmond  

Principal data scientist – azure data  , principal applied machine learning engineer – microsoft security  , technical advisor – ​​azure database octo team  , events & conferences, sosp 2024  .

Upcoming: November 4, 2024 – November 6, 2024

Austin, Texas

News & awards

Bhaskar mitra receives two acm sigir early career researcher awards  .

ACM SIGIR  |  Jul 29, 2024

‘Enormous business potential’: Microsoft on why GraphRAG outperforms naive RAG  

The Stack  |  Jul 26, 2024

Amini receives “Rising Star” award at VentureBeat’s 6th Annual Women in AI awards  

VentureBeat  |  Jul 11, 2024

Sriram Rajamani at Microsoft Research on AI and deep tech in India  

Forbes India  |  Jun 28, 2024

• Follow on X
• Like on Facebook
• Follow on LinkedIn
• Subscribe on Youtube
• Follow on Instagram
• Subscribe to our RSS feed

Share this page:

• Share on Facebook
• Share on LinkedIn
• Share on Reddit

Academia.edu no longer supports Internet Explorer.

To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to  upgrade your browser .

•  We're Hiring!
•  Help Center

Microsoft Azure

• Most Cited Papers
• Most Downloaded Papers
• Newest Papers
• Last »
• Hyper-V Follow Following
• Linux/Windows System Administration Follow Following
• System Administration Follow Following
• AZ-400 Follow Following
• Technology Follow Following
• VMWare Follow Following
• English Follow Following
• Education Follow Following
• Exam Questions Follow Following
• AZ-103 pdf dumps Follow Following

Enter the email address you signed up with and we'll email you a reset link.

• Academia.edu Journals
•   We're Hiring!
•   Help Center
• Find new research papers in:
• Health Sciences
• Earth Sciences
• Cognitive Science
• Mathematics
• Computer Science
• Academia ©2024

Results (1-12 of 27) Search refine result count is (27 Sessions)

Session type, research theme, research in the era of ai.

AI Frontiers

Panel Discussion

Improving Reasoning in Language Models with LASER: Layer-Selective Rank Reduction

Evaluation and Understanding of Foundation Models

Augmenting Human Cognition and Decision Making with AI

Generative AI meets Structural Biology: Equilibrium Distribution Prediction

Kahani: Visual Storytelling through Culturally Nuanced Images

The Revolution in Scientific Discovery

Transforming the Natural Sciences with AI

What's New in AutoGen?

The Metacognitive Demands and Opportunities of Generative AI

Getting Modular with Language Models: Building and Reusing a Library of Experts for Task Generalization

This browser is no longer supported.

Upgrade to Microsoft Edge to take advantage of the latest features, security updates, and technical support.

How to cite Azure OpenAI Service in an academic research paper properly?

I used Azure OpenAI models to improve the language in my research paper and would like to acknowledge and cite them. Is there a recommended way to do this, or should I simply include the service name, model version, and link?

Not Monitored Tag not monitored by Microsoft. 38,518 questions Sign in to follow Follow

You should seek the citation recommendation from the body that governs your research.

This is an evolving area, and university institutions are already collating guidance on how to properly cite LLM's.

E.g. For ChatGPT;

Author. (Year of the Version). Title of the Tool (Version if applicable) [Tool description if applicable]. Source/URL

Example: OpenAI. (2023). ChatGPT (Mar 14 version) [Large language model]. https://chat.openai.com/chat

Taking this suggested format for use with Azure OpenAI would result in something like this;

Azure AI Services (2023) OpenAI (gpt-35-turbo - version 0613) [Large language model]. https://learn.microsoft.com/en-us/azure/ai-services/openai

0 additional answers

Deliver and Secure Cloud-native Apps with F5 NGINX as a Service for Azure and NGINX App Protect

When organizations migrate their workloads to cloud, they often have to address the complexity of application requirements implemented outside of the app using reverse proxies, load balancers, and API gateways. For example, development teams may use NGINX in their application stack to implement security, scalability, availability, and visibility policies, rules, and logic, and they lack depth of configuration control without it.

Cloud-based customers also prefer to consume managed services, driven by desire and demand to remove the burden to operate and maintain infrastructure while ensuring performance, scalability, availability, and uptime SLAs.

We also know that many organizations rely on NGINX’s proxying, load balancing, and caching capabilities every day to deliver their mission-critical applications.

At F5 NGINX, we took this as the base to build NGINX as a Service for Azure (NGINXaaS for Azure) – a relatively unique infrastructure as a service that grants considerable programmability and control not available through other networking services.

NGINXaaS for Azure provides the power of NGINX Plus while eliminating the complexity of installing, licensing, upgrading, and patching your NGINX instances. It features built-in high availability, integration with core Azure services, consistent visibility and management through Azure interfaces, and consumption-based pricing. The service silently handles all the operational toil for you. You simply bring your NGINX configurations and backend applications.

As a first-class cloud service, NGINXaaS for Azure has a native experience across all Azure interfaces – portal, cli, SDK, Terraform.  And it is tightly integrated with other cloud infrastructure services to give you a complete experience. For example, NGINX Plus offers over 200 metrics, giving you deep and detailed insights into your applications – these metrics are easily available through Azure Monitoring integration.

We are also excited to share that NGINX App Protect WAF v5 is now available in Preview as an add-on for NGINXaaS for Azure. NGINX App Protect WAF can be easily enabled with one-click, individually across Standard plan deployments of NGINX as a Service. The preview capabilities include the ability to select default policy and integration with Azure Log Analytics.

Getting started with NGINXaaS for Azure is as easy as visiting the Microsoft Azure marketplace: https://go.f5.net/nm4zmb5q . Anyone can get started with our Basic Plan and later graduate into our enterprise plan that offers high availability with 99.95% uptime SLA, scaling, and full NGINX Plus state sharing.

• Marketing services
• News stories

Umicore enters AI platform agreement with Microsoft to accelerate and scale its battery materials technologies development

Umicore enters AI platform agreement with Microsoft to accelerate and scale its battery materials technologies development 

Umicore has entered into an agreement with Microsoft to use artificial intelligence (AI) as a means to facilitate and accelerate its research in battery material technologies for electric vehicles, a key growth area for the Group. It will make Umicore a first-mover in applying an AI-based approach to support battery scientists in developing new battery materials, enabling their faster time-to-market and an even more cost efficient development process.

The Battery Materials AI platform will take advantage of Microsoft’s Azure OpenAI Service, extended with a multitude of unpublished, specific scientific AI Models. It will be operated in a Umicore proprietary environment with full IP securitization. Umicore will create a tailored AI environment that will analyze, synthesize and bring together decades of vast and complex data from Umicore’s proprietary battery materials research and development. It will furthermore combine Umicore’s data with external historical data and information on the latest technologies from various sources, including simulation models, experiments or images.

“Umicore is keen to maximize the vast battery technology know-how it has acquired since it began researching battery materials in the mid-1990s. With the support of Microsoft, Umicore will be the frontrunner in applying AI as a tool for our battery scientists to win time, efficiency and scale in our innovations while safeguarding our IP in this significant R&D area. It will help us fully leverage all compelling internal and external data, to formulate new materials smarter and remain at the forefront in understanding and pre-empting customer needs in this fast-growing market.” Mathias Miedreich , CEO of Umicore

Umicore has been using materials, process and data modeling for many years now as essential tools for product development. AI and machine learning have over the last years added another dimension and have already resulted in Umicore’s filing of the first AI-enabled patents in battery materials.

Umicore and Microsoft signed their agreement at the World Economic Forum (WEF) in Davos, with “Artificial Intelligence as a Driving Force for the Economy and Society” as one of the event’s key themes.

Umicore’s EV battery materials innovations and technologies serve the entry segment or small-sized cars, the mass segment mid-sized cars as well as the premium segment or life-style cars, with technologies ranging from NMC (nickel, manganese and cobalt) to HLM (high lithium manganese) and future solid-state and sodium-ion battery technologies. Click here to read more.

Umicore conclut un accord avec Microsoft relatif à une plateforme d'IA afin d'accélérer et d'étendre le développement de ses technologies de matériaux pour batteries

Umicore a conclu un accord avec Microsoft pour utiliser l'intelligence artificielle (IA) comme moyen de faciliter et d'accélérer ses recherches sur les technologies de matériaux de batteries pour véhicules électriques, un domaine de croissance clé pour le Groupe. Ce partenariat fera d'Umicore un précurseur dans l'application d'une approche basée sur l'IA pour aider les scientifiques à développer de nouveaux matériaux pour batteries, permettant ainsi une mise sur le marché plus rapide et un processus de développement encore plus efficace en termes de coûts.

La plateforme d’IA pour Battery Materials tirera parti d’Azure OpenAI Service, enrichi d’une multitude de modèles d’IA scientifiques spécifiques et inédits. Elle sera exploitée dans un environnement propriétaire d'Umicore avec une sécurisation totale de la propriété intellectuelle. Umicore créera un environnement d'IA sur mesure qui analysera, synthétisera et rassemblera des décennies de données vastes et complexes issues de la recherche et du développement de matériaux de batteries exclusifs à Umicore. Elle combinera en outre les données d'Umicore avec des données historiques externes et des informations sur les dernières technologies provenant de diverses sources, y compris des modèles de simulation, des expériences ou des images.

« Umicore souhaite maximiser le vaste savoir-faire en matière de technologie de batteries qu'elle a acquis depuis qu'elle a commencé à étudier les matériaux pour batteries au milieu des années 1990. Avec le soutien de Microsoft, Umicore sera à la pointe de l'application de l'IA en tant qu'outil pour nos scientifiques spécialisés dans les batteries afin de gagner du temps, de l'efficacité et de l’échelle dans nos innovations, tout en protégeant notre propriété intellectuelle dans ce domaine important de la R&D. Cela nous aidera à exploiter pleinement toutes les données internes et externes probantes, à formuler de nouveaux matériaux plus intelligemment et à rester à la pointe de la compréhension et de l'anticipation des besoins des clients sur ce marché à croissance rapide. » Mathias Miedreich , CEO d'Umicore

Depuis de nombreuses années, Umicore utilise la modélisation des matériaux, des processus et des données comme outils essentiels pour le développement de produits. L'IA et l'apprentissage automatique ont, au cours des dernières années, ajouté une nouvelle dimension et ont déjà permis à Umicore de déposer les premiers brevets basés sur l'IA dans le domaine des matériaux pour batteries.

Umicore et Microsoft ont signé leur accord lors du Forum économique mondial (WEF) de Davos, dont l'un des thèmes principaux était  « L'intelligence artificielle comme moteur de l'économie et de la société ».

Les innovations et technologies d'Umicore en matière de matériaux pour batteries de VE sont destinées au segment d'entrée de gamme ou aux petites voitures, au segment de masse des voitures de taille moyenne ainsi qu'au segment haut de gamme ou aux voitures de prestige, avec des technologies allant du NMC (nickel, manganèse et cobalt) au HLM (high lithium manganese) et aux futures technologies de batteries solides et sodium-ion. Cliquez ici pour en savoir plus.

Umicore sluit samenwerkingsakkoord met Microsoft voor AI-platform om ontwikkeling van batterijmateriaaltechnologieën te versnellen en verruimen

Umicore sluit een samenwerkingsakkoord met Microsoft voor het gebruik van artificiële intelligentie (AI) als een middel om haar onderzoek en ontwikkeling naar batterijmateriaaltechnologieën voor elektrische voertuigen, een belangrijk groeigebied voor de Groep, te faciliteren en versnellen. Het maakt Umicore tot een pionier in het toepassen van een AI-gebaseerde aanpak die batterijwetenschappers ondersteunt in hun onderzoek,  waarbij nieuwe batterijmaterialen in een kortere tijd op de markt gebracht kunnen worden en het ontwikkelingsproces nog kostenefficiënter kan verlopen.

Het Battery Materials AI-platform maakt gebruik van Microsofts Azure OpenAI Service, aangevuld met een groot aantal ongepubliceerde, specifieke wetenschappelijke AI-modellen. Het platform zal worden beheerd in een eigen omgeving van Umicore met volledige IP-beveiliging. Umicore zal een op maat gemaakte AI-omgeving opzetten die tientallen jaren aan omvangrijke en complexe gegevens van haar eigen onderzoek zal analyseren, synthetiseren en bundelen. Het platform zal bovendien de data van Umicore combineren met externe historische gegevens en informatie over de nieuwste technologieën uit verschillende bronnen, waaronder simulatiemodellen, experimenten of afbeeldingen.

"Umicore wil de omvangrijke vakkennis in batterijtechnologie, die het bedrijf heeft verworven sinds het begin van haar onderzoek naar batterijmaterialen in het midden de jaren 1990, maximaliseren. Met de steun van Microsoft zal Umicore de koploper zijn in het toepassen van AI. Onze batterijwetenschappers kunnen zo tijd, efficiëntie en schaal winnen met onze innovaties waarbij we onze IP blijven beschermen in dit belangrijke R&D-gebied. Door alle essentiële interne en externe gegevens ten volle te benutten, wordt het mogelijk om nieuwe materialen nog slimmer te formuleren en blijven we voorop in het doorgronden van en anticiperen op de behoeften van klanten in deze snelgroeiende markt." Mathias Miedreich , CEO van Umicore

Umicore maakt al vele jaren gebruik van materiaal-, proces- en datamodellering als essentiële hulpmiddelen voor productontwikkeling. AI en machineleren hebben de laatste jaren een nieuwe dimensie toegevoegd en hebben er al toe geleid dat Umicore de eerste AI-octrooien op het gebied van batterijmaterialen heeft ingediend.

Umicore en Microsoft ondertekenden hun overeenkomst tijdens het World Economic Forum (WEF) in Davos, waar "Artificial Intelligence as a Driving Force for the Economy and Society" één van de hoofdthema's van het evenement was.

De innovaties en technologieën van Umicore in batterijmaterialen voor elektrische voertuigen richten zich op het instapsegment of kleine auto's, het massasegment van de middelgrote wagens en het topsegment of lifestyle auto's, met technologieën die uiteenlopen van NMC (nikkel, mangaan en kobalt) tot HLM (hoog lithium mangaan) en toekomstige solid-state en natrium-ion batterijtechnologieën. Klik hier voor meer informatie.

Media Relations

Marjolein Scheers

Caroline Jacobs

Investor relations.

Caroline Kerremans

Adrien Raicher

Benoît Mathieu

Umicore uses certain monitoring and tracking technologies such as cookies. These technologies are used in order to maintain, provide and improve our services on an ongoing basis, and in order to provide our web visitors with a better experience.

By clicking on the "Accept all" button you agree to the use of these cookies while using the website. For further information regarding how we use cookies and other tracking technologies, please see section 11 of our website privacy notice . 

Used to provide functionality across pages.

Identification and registration of your cookie perferences.

Used to store language preferences.

Google Universal Analytics measures how users interact with our website content. This information can lead to a better user experience.

Used to calculate visitor, session and campaign data for analytics reports.

Used to count and track pageviews.

This cookie, set by Google Analytics, is a variation of the _gat cookie which is used to limit the amount of data recorded by Google on high traffic volume websites.

Trackalytics measures how users interact with content on our website. No personal data is stored in this process.

This cookie makes it possible to measure repeat visits.

Google Ads is Google's online advertising program.

Used to store and track conversions.