Afleveringen
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Behnaz Arzani loves hard problems and the freedom to explore. That makes research a great fit! She discusses her work in network management, including the potential role of LLMs in the field; the challenges that excite her; and how storytelling changed her life.
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Solving Max-Min Fair Resource Allocations Quickly on Large Graphs | Publication, February 2024Finding Adversarial Inputs for Heuristics using Multi-level Optimization | Publication, February 2024MetaOpt: Examining, explaining, and improving heuristic performance | Microsoft Research blog, January 2024A Holistic View of AI-driven Network Incident Management | Publication, October 2023Behnaz Arzani: Painting, storytelling, and other hobbies | Microsoft Research bio page -
Principal PM Manager Weishung Liu shares how a career delivering products and customer experiences aligns with her love of people and storytelling and howâdespite efforts to defy the expectations that come with growing up in Silicon Valleyâshe landed in tech.
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Weishung Liu at Microsoft ResearchWatch For | Project pageDeveloper Tech Minutes: Watch For | Video, 2021 -
Zijn er afleveringen die ontbreken?
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Social scientist and HCI expert Abigail Sellen explores the critical understanding needed to build human-centric AI through the lens of the new AICE initiative, a collective of interdisciplinary researchers studying AI impact on human cognition and the economy.
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AI, Cognition, and the Economy (AICE) Responsible AI Principles and Approach | Microsoft AI The Rise of the AI Co-Pilot: Lessons for Design from Aviation and Beyond The Myth of the Paperless Office -
Andrey Kolobov discusses WindSeer, a small CNN capable of estimating the wind field around an sUAV in flight more finely and with less compute and data than traditional models. The advancement can help support longer and safer autonomous flights.
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WindSeer: Real-time volumetric wind prediction over complex terrain aboard a small uncrewed aerial vehicle -
Jacki O'Neill saw an opportunity to expand Microsoft research efforts to Africa. She now leads Microsoft Research Africa, Nairobi (formerly MARI). O'Neill talks about the choices that got her there, the labâs impact, and how living abroad is good for innovation.
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Jacki O'Neill at Microsoft ResearchMicrosoft Research Africa (formerly MARI) -
Researcher Michel Galley explores how he and fellow researchers combined new and existing data to create MathVista, an open-source benchmark for measuring the mathematical reasoning capabilities of foundation models in scenarios that involve text and images.
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Get the code & dataset
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Energized by disruption, partner group product manager Rafah Hosn is helping to drive scientific advancement in AI for Microsoft. She talks about the mindset needed to work at the frontiers of AI and how the research-to-product pipeline is changing in the GenAI era.
Learn more:
AI Frontiers - Microsoft ResearchResponsible AI Principles and Approach | Microsoft AI -
Tusher Chakraborty talks about the paper âSpectrumize: Spectrum-efficient Satellite Networks for the Internet of Things,â including a method for supporting communication between a large IoT-satellite constellation and devices on Earth within a limited spectrum.
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The new series âIdeasâ debuts with guest Kalika Bali. The speech and language tech researcher talks sci-fi and its impact on her career, the design thinking philosophy behind her research, and the âoutrageous ideaâ she had to work with low-resource languages.
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The State and Fate of Linguistic Diversity and Inclusion in the NLP World | Publication, July 2020Project VeLLM | Project pageKahani: Visual Storytelling | Project pageKahani: Visual Storytelling through Culturally Nuanced Images | Microsoft Research Forum | Episode 1, January 2024Teachers in India help Microsoft Research design AI tool for creating great classroom content | Microsoft Research blog, October 2023Digital Labor: Project Karya | Project pageVillage by village, creating the building blocks for AI tools with work that also educates | Microsoft Source Asia blog, February 2024 -
Principal Researcher Ida Momennejad brings her expertise in cognitive neuroscience and computer science to this in-depth conversation about general intelligence and what the evolution of the brain across species can teach us about building AI.
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AI and Microsoft Research | Focus AreaEvaluating Cognitive Maps and Planning in Large Language Models with CogEval | Publication, October 2023Imitating Human Behaviour with Diffusion Models | Publication, May 2023Navigates Like Me: Understanding How People Evaluate Human-Like AI in Video Games | Publication, April 2023Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation | Publication, July 2021Predictive Representations in Hippocampal and Prefrontal Hierarchies | Publication, January 2022The successor representation in human reinforcement learning | Publication, September 2017Encoding of Prospective Tasks in the Human Prefrontal Cortex under Varying Task Loads | Publication, October 2013 -
Senior Researcher Chang Liu discusses M-OFDFT, a variation of orbital-free density functional theory (OFDFT) that leverages deep learning to help identify molecular properties in a way that minimizes the tradeoff between accuracy and efficiency.
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Can how we think about our thinking help us better incorporate generative AI in our lives & work? Explore metacognitionâs potential to improve the techâs usability on âAbstracts,â then sign up for Microsoft Research Forum for more on this & other AI work.
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Partner Research Manager and developer experience expert Nicole Forsgren talks about the future of software engineering with AI, why she loves tech, and her reliance on a spreadsheet and her gut when making career-changing decisions.
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Nicole Forsgren at Microsoft ResearchNicole Forsgren websiteQuantifying the impact of developer experience | Microsoft Azure Blog, January 2024Yes, good DevEx increases productivity. Here is the data. | GitHub blog, January 2024Accelerate: The Science of Lean Software and DevOps: Building and Scaling High Performing Technology Organizations | Book, 2018 -
Partner Software Architect Ivan Tashev talks about applying his expertise in audio signal processing to the design and study of audio components for Microsoft products such as Kinect and shares how a focus on what he can control has fueled professional success.
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Ivan Tashev at Microsoft ResearchDistributed Meetings: A Meeting Capture and Broadcasting System | Publication, December 2002Research Collection: The Unseen History of Audio and Acoustics Research at Microsoft | Microsoft Research blog, August 2020 -
On âAbstracts,â Jordan Ash & Dipendra Misra discuss the parameter reduction method LASER. Tune in to learn how selective removal of stored data alone can boost LLM performance, then sign up for Microsoft Research Forum for more on LASER & related topics.
Learn more:
The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction | Publication, December 2023LASER code on GitHub -
Powerful large-scale AI models like GPT-4 are showing dramatic improvements in reasoning, problem-solving, and language capabilities. This marks a phase change for artificial intelligenceâand a signal of accelerating progress to come.
In this Microsoft Research Podcast series, AI scientist and engineer Ashley Llorens hosts conversations with his collaborators and colleagues about what these modelsâand the models that will come nextâmean for our approach to creating, understanding, and deploying AI, its applications in areas such as healthcare and education, and its potential to benefit humanity.
This episode features Technical Fellow Christopher Bishop, who leads a global team of researchers and engineers working to help accelerate scientific discovery by merging machine learning and the natural sciences. Llorens and Bishop explore the state of deep learning; Bishopâs new textbook Deep Learning: Foundations and Concepts, his third and a writing collaboration with his son; and a potential future in which âsuper copilotsâ accessible via natural language and drawing on a variety of tools, like those that can simulate the fundamental equations of nature, are empowering scientists in their pursuit of breakthrough.
Learn more:
Deep Learning: Foundations and Concepts | Textbook, 2023Pattern Recognition and Machine Learning | Textbook, 2006Neural Networks for Pattern Recognition | Textbook, 1995 -
Members of the research community at Microsoft work continuously to advance their respective fields. Abstracts brings its audience to the cutting edge with them through short, compelling conversations about new and noteworthy achievements.
In this episode, Senior Principal Research Manager Tao Qin and Senior Researcher Lijun Wu discuss âFABind: Fast and Accurate Protein-Ligand Binding.â The paper, accepted at the 2023 Conference on Neural Information Processing Systems (NeurIPS), introduces a new method for predicting the binding structures of proteins and ligands during drug development. The method demonstrates improved speed and accuracy over current methods.
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FABind: Fast and Accurate Protein-Ligand BindingFABind code on GitHub -
Members of the research community at Microsoft work continuously to advance their respective fields. Abstracts brings its audience to the cutting edge with them through short, compelling conversations about new and noteworthy achievements.
In this episode, Principal Researcher Alessandro Sordoni joins host Gretchen Huizinga to discuss âJoint Prompt Optimization of Stacked LLMs using Variational Inference.â In the paper, which was accepted at the 2023 Conference on Neural Information Processing Systems (NeurIPS), Sordoni and his coauthors introduce Deep Language Networks, or DLNs, an architecture that treats large language models as layers within a network and natural language prompts as each layerâs learnable parameters.
Read the paper
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Members of the research community at Microsoft work continuously to advance their respective fields. Abstracts brings its audience to the cutting edge with them through short, compelling conversations about new and noteworthy achievements.
In this episode, Xing Xie, a Senior Principal Research Manager of Microsoft Research Asia, joins host Dr. Gretchen Huizinga to discuss âEvaluating General-Purpose AI with Psychometrics.â As AI capabilities move from task specific to more general purpose, the paper explores psychometrics, a subfield of psychology, as an alternative to traditional methods for evaluating model performance and for supporting consistent and reliable systems.
Read the paper: Evaluating General-Purpose AI with Psychometrics
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Transforming research ideas into meaningful impact is no small feat. It often requires the knowledge and experience of individuals from across disciplines and institutions. Collaborators, a Microsoft Research Podcast series, explores the relationshipsâboth expected and unexpectedâbehind the projects, products, and services being pursued and delivered by researchers at Microsoft and the diverse range of people theyâre teaming up with.
In this episode, Dr. Gretchen Huizinga speaks with Cecily Morrison, MBE, a Senior Principal Research Manager at Microsoft Research, and Karolina PakÄnaitÄ, who also goes by Caroline, a PhD student and member of the citizen design team working with Morrison on the research project Find My Things. An AI phone application designed to help people who are blind or have low vision locate their personal items, Find My Things is an example of a broader research approach known as Teachable AI. Morrison and PakÄnaitÄ explore the Teachable AI goal of empowering people to make an AI experience work for them. They also discuss how âdesigning for oneâ when it comes to inclusive design leads to innovative solutions and what they learned about optimizing these types of systems for real-world use (spoiler: itâs not necessarily more or higher-quality data).
Learn more:
Teachable AI Experiences (Tai X) | Project pageUnderstanding Personalized Accessibility through Teachable AI: Designing and Evaluating Find My Things for People who are Blind or Low Vision | Publication, October 2023Microsoft Inclusive Design | Inclusive design resource centerDeafBlind Everest Project | Karolina (Caroline) PakÄnaitÄ personal website - Laat meer zien