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Code now avail for paper, "Improving Instruction-Following in Language Models through Activation Steering". Interesting to see results across models. Paper: arxiv.org/abs/2410.12877 Repo: github.com/microsoft/llm-… Alessandro Stolfo Besmira Nushi 💙💛 Vidhisha Balachandran Safoora Yousefi ICLR 2026

Conference keynote! Eric Horvitz from Microsoft Research on frontiers in computational health. UCSF Bakar Computational Health Sciences Institute CTML - Center for Targeted Machine Learning #AIforall

Keynote with Eric Horvitz Chief Scientific Officer Microsoft Microsoft Research - themes include Generative AI for healthcare applications - trends -capabilities with Scale -multimodal models; Thirst for benchmarks UC Joint Computational Precision Health Program CTML - Center for Targeted Machine Learning

An exciting update on Phi efforts at Microsoft Research: We're rolling out Phi-4-reasoning & Phi-4-reasoning-plus. Impressive results & interesting insights. Details: arxiv.org/pdf/2504.21318 Ahmed Awadallah Besmira Nushi 💙💛 Ece Kamar Dimitris Papailiopoulos Satya Nadella

Keynote at the Frontiers of Computational Health meeting. Enjoyed seeing long-term colleagues and meeting new folks, all passionate about leveraging computation methods for advancing healthcare. UCSF BCHSI CTML - Center for Targeted Machine Learning Ida Sim

Packed house for AI in Medicine discussion with Eric Horvitz, Chief Scientific Officer of Microsoft and ASGE President, Prateek Sharma at the ASGE Learning Center. Going on now! #DDW2025 #GITwitter

We're pursuing a long-term vision for how AI can amplify human intellect and elevate decision-making in some of the most challenging problems in patient care: questions & directions that arise in tumor board meetings. More in my LinkedIn article: aka.ms/AAwau32

It’s been great collaborating closely with Eric Horvitz , on the release of the Healthcare Agent Orchestrator that Satya Nadella announced in his keynote this morning! In his new post, “Toward an Era of AI-Enabled Clinical Collaboration,” Eric shares reflections on this launch

Was a fantastic collaboration on bringing guidance to the full family of OpenAI models. The most comprehensive structured outputs meet the world's best models 🫶 github.com/guidance-ai Shoutout Michal Moskal Andrew Braunstein cc Michelle Pokrass Nikunj Handa Eric Horvitz Kevin Scott

Great collaboration: Microsoft’s Guidance team & @openai deliver new core capabilities to ensure reliable adherence of model outputs to constraints of schema @harshanori Michal Moskal Dean Carignan Andrew Braunstein Michelle Pokrass Nikunj Handa OpenAIDevs Jay Parikh #Guidance

It’s been a pleasure collaborating with Shrey Jain & colleagues at Microsoft’s Health Care & Life Sciences and Microsoft Research on directions ahead for leveraging AI advances to help with cancer care. Stanford Health Care ARPA-H

The final version of our work on enabling protein-function annotation on new, unseen functions with ProtNote is now published, with code and models available! 📰 doi.org/10.1093/bioinf… 💻 github.com/microsoft/prot… with Samir Char, Nate Corley, Sarah Alamdari, Kevin K. Yang 楊凱筌

Looking forward to presenting late-breaking directions and thinking on AI in medicine at the RAISE Health Symposium Stanford Medicine Microsoft

Conversation with the Computer History Museum museum on the arc of AI through time, on where we are today, and on directions heading into the future. youtube.com/watch?v=ddjNTx… Microsoft Research

Inspiring to collaborate with the team at Stanford Health Care Stanford Health Care on harnessing advances in AI to enhance clinical collaboration. Additional background here: tinyurl.com/2buy37tz

I’m looking forward to the 2025 RAISE Health Symposium, hosted by Stanford Medicine and Stanford HAI, exploring the reality of today's health AI, what’s next, and directions forward to make sure AI advances benefit everyone. More here: med.stanford.edu/raisehealth/ev… Microsoft Research Microsoft

New study: We explored how collaborative workflows can help clinicians & AI work better together on tough diagnostic cases. A step toward designing AI as a teammate vs tool in clinical care. More: tinyurl.com/6b5jbz5b Stanford Medicine Stanford HAI Microsoft Research Microsoft Health

My recent talk on challenges in developing human-centered agents is now available online! It provides an HCI perspective of our learning from developing AutoGen youtube.com/watch?v=O5jSX8…

Is AI better than doctors at diagnosing patients? A new study led by researchers at Stanford University Stanford Medicine and Eric Horvitz Microsoft answered this question with gold-standard evidence: a randomized controlled trial (RCT). 👇 70 clinicians (residents + attendings) were

Harnessing AI to help with difficult cancer decision problems: A pleasure to join Shrey Jain for a fireside conversation on pathways forward for translating AI advances into tangible tools for enhancing clinical care Microsoft Research Matthew Lungren MD MPH Microsoft Stanford Health Care