SeqSNN
July 12, 2024 | Yansen Wang and Dongqi Han
A public framework for time-series forecasting with spiking neural networks (SNNs).
Microsoft Research Blog
English
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CodePlan: Repository-level Coding using LLMs and Planning
July 12, 2024Software engineering activities such as package migration, fixing error reports from static analysis or testing, and adding type annotations or other specifications to a codebase, involve pervasively editing the entire repository of code. We formulate these activities as repository-level coding tasks. Recent tools like GitHub…
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Intelligence Toolkit
July 11, 2024 | Dayenne Souza and Darren EdgeThe Intelligence Toolkit is a suite of interactive workflows for creating AI intelligence reports from real-world data sources. The toolkit is designed to help users identify patterns, answers, relationships, and risks within complex datasets, with generative AI (OpenAI GPT models) used to create reports on…
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Collaborators: Sustainable electronics with Jake Smith and Aniruddh Vashisth
Printed circuit boards are abundant—in the stuff we use and in landfills. Researcher Jake Smith and professor Aniruddh Vashisth discuss the development of vitrimer-based PCBs that perform comparably to traditional PCBs but have less environmental impact.
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Amini receives “Rising Star” award at VentureBeat’s 6th Annual Women in AI awards
July 11, 2024 | Ava AminiVentureBeat announced the winners of the sixth annual Women in AI Awards yesterday at VB Transform. The "Rising Star" award honors a woman in the early stage of her AI career who has demonstrated exemplary leadership traits. Amini focuses on engineering new technologies for precision…
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Autoregressive Speech Synthesis without Vector Quantization
July 11, 2024We present MELLE, a novel continuous-valued tokens based language modeling approach for text to speech synthesis (TTS). MELLE autoregressively generates continuous mel-spectrogram frames directly from text condition, bypassing the need for vector quantization, which are originally designed for audio compression and sacrifice fidelity compared to…
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Accuracy is Not All You Need
July 11, 2024 | Abhinav Dutta, Sanjeev Krishnan, Nipun Kwatra, and Ramachandran RamjeeWhen Large Language Models (LLMs) are compressed using techniques such as quantization, the predominant way to demonstrate the validity of such techniques is by measuring the model's accuracy on various benchmarks.If the accuracies of the baseline model and the compressed model are close, it is…
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VeriSMo: A Verified Security Module for Confidential VMs
July 11, 2024Hardware vendors have introduced confidential VM architectures (e.g., AMD SEV-SNP, Intel TDX and Arm CCA) in recent years. They eliminate the trust in the hypervisor and lead to the need for security modules such as AMD Secure VMService Module (SVSM). These security modules aim to…
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Autoregressive Video Models
Driving large video models with next token prediction In-context learning for vision data has been underexplored compared with that in natural language. Previous works studied image in-context learning, urging models to generate a single image guided by demonstrations. In this project, we propose and study…
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Unified Database: Laying the foundation for large language model vertical applications
July 10, 2024Unified databases offer better knowledge transfer between multimodal data types. They provide substantial corpus support for large language models and are poised to drive innovation in underlying hardware, laying the foundation for data-enhanced AI.
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Empowering NGOs with generative AI in the fight against human trafficking
Intelligence Toolkit was built to help fight human trafficking and is applicable to a broad range of societal challenges. Learn how Microsoft researchers worked with global experts to develop generative AI tools that could help tackle urgent issues at scale.