In the news | TechCrunch
Microsoft open sources EvoDiff, a novel protein-generating AI
This week, Microsoft introduced a general-purpose framework, EvoDiff, that the company claims can generate “high-fidelity,” “diverse” proteins given a protein sequence. Different from other protein-generating frameworks, EvoDiff doesn’t require any structural information about the target protein, cutting out what’s typically…
Research Focus: Week of September 11, 2023
In this issue: Efficient polyglot analytics on semantic data aids query performance; generative retrieval for conversational question answering improves dialogue-based interfaces; a new tool uses ML to address capacity degradation in lithium-ion batteries.
Abstracts: September 13, 2023
| Gretchen Huizinga, Ava Amini, and Kevin Kaichuang Yang
The new #MSRPodcast series “Abstracts” is your source for cutting-edge research in brief. In the first episode, join researchers Ava Amini and Kevin K. Yang to learn about their new paper on using evolutionary-scale protein data to improve protein design.
In the news | VentureBeat
Meet Phi-1.5, the new language model that could make training AI radically cheaper and faster
By generating curated, high quality, synthetic data using existing LLMs (in this case, OpenAI’s ChatGPT) and training a new model on this, the researchers are able to achieve results comparable to leading LLMs at a fraction of the cost and…
FP2: Fully In-Place Functional Programming provides memory reuse for pure functional programs
| Anton Lorenzen, Daan Leijen, and Wouter Swierstra
This research paper was presented at the 28th ACM SIGPLAN International Conference on Functional Programming (opens in new tab) (ICFP), a premier forum for discussing design, implementations, principles, and uses of functional programming. Functional programming languages offer a host of…
大模型时代，如何评估人工智能与人类智能？
编者按：大模型时代的到来，使得人工智能成为了真正影响人类社会的重要技术之一，如何打造“负责任的人工智能”的问题正变得愈发迫切和关键。一直以来，微软始终致力于依照以人为本的伦理原则推进人工智能的发展，微软亚洲研究院也将“社会责任人工智能（Societal AI）”作为一个重要的研究方向。 2023年，微软亚洲研究院特别组织了“社会责任人工智能（Societal AI）”系列研讨会，为计算机领域的科研...
Understanding social biases through the text-to-image generation lens
| Ranjita Naik and Besmira Nushi
Gender, race, and age disparities in AI-generated images persist. This AIES 2023 study on text-to-image models shows that even basic prompts can lead to underrepresentation, calling for responsible bias mitigation strategies.
Intern Insights: Dr. Josh Benaloh with Anunay Kulshrestha and Karan Newatia
| Josh Benaloh, Anunay Kulshrestha, and Karan Newatia
Every year, interns help advance research at Microsoft. In “Intern Insights,” PhD students Anunay Kulshrestha and Karan Newatia talk with cryptographer Josh Benaloh about working on the verifiable election technology ElectionGuard.
Incorporating chemists’ insight with AI models for single-step retrosynthesis prediction
| Lei Fang, Junren Li, Zhao Ming, Li Tan, and Jian-Guang Lou
Retrosynthesis analysis is a critical task in organic chemistry and central to many important industries. It primarily involves decomposing a target molecule into commercially available molecules step by step. Since synthesis strategies can be quite diverse and strategic, retrosynthesis planning…