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.
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.
Can how we think about our thinking help us better incorporate generative AI in our lives & work? Explore metacognition’s potential to improve the tech’s usability on “Abstracts,” then sign up for Microsoft Research Forum for more on this & other AI work.
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.
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.
On “Abstracts,” 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.
In this episode of “AI Frontiers,” AI4Science Director Chris Bishop talks about the state of deep learning; his new textbook, “Deep Learning: Foundations and Concepts,” and the impact the field is having on the natural sciences.
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…
By treating language models as layers in a network and prompts as learnable parameters, researchers aim for more adaptable, reusable LLM architectures. Check out the work in the “Abstracts” podcast series with guest Alessandro Sordoni and at #NeurIPS2023:
"Abstracts”—your source for world-class research in brief—welcomes Senior Principal Research Manager Xing Xie to the podcast series to discuss his paper on evaluating general-purpose AI with psychometrics.
Cecily Morrison and Karolina Pakėnaitė are collaborators on a research prototype designed to help members of the blind community find their personal items. Learn how the work is advancing an approach to empower people to shape their own AI experiences.
Today I'm talking to Shrey Jain, an applied scientist at Microsoft Research, and Dr. Zoë Hitzig, a junior fellow at the Harvard Society of Fellows.
