Collaborators: Silica in space with Richard Black and Dexter Greene
| Gretchen Huizinga, Richard Black, and Dexter Greene
College freshman Dexter Greene and Microsoft research manager Richard Black discuss how technology that stores data in glass is supporting students as they expand earlier efforts to communicate what it means to be human to extraterrestrials.
In the news | GeekWire
Microsoft joins with students to document humanity with a ‘Golden Record’ of glass
Forty-seven years after NASA sent a “Golden Record” into deep space to document humanity’s view of the world, Microsoft’s Project Silica is teaming up with a citizen-science effort to lay the groundwork — or, more aptly, the glasswork — for…
In the news | GZERO
AI’s evolving role in society
In a world where humanity put a man on the moon before adding wheels to luggage, the rapid advancements in AI seem almost paradoxical. Microsoft’s chief data scientist Juan Lavista, in a recent Global Stage conversation with Tony Maciulis, highlighted this contrast…
跨越模态边界，探索原生多模态大语言模型
编者按：当前多模态模型大致分为两类，一类是专用多模态模型，如文本生成图像、文本生成视频等；另一类则是通用型多模态大语言模型，这类模型的目标是让人工智能具备自然语言理解和生成、图像识别，以及语音和视频的交互能力。近日，微软亚洲研究院又提供了一个新的选择——原生多模态大语言模型。它能够更深入地理解物理世界并执行多模态推理和跨模态迁移，其在不同模态的数据学习中还涌现出了新的能力。 随着人工智能技术的持续...
Fostering appropriate reliance on AI
Because of their probabilistic nature, all AI systems will make mistakes. One of the main challenges in human-AI interaction is to foster appropriate reliance on AI and empower users of AI systems to determine when to accept or not accept…
This talk discusses how deep learning is enabling us to generate novel and useful biomolecules, allowing researchers and practitioners to better understand biology.
This talk discusses Aurora, a cutting-edge foundation model that offers a new approach to weather forecasting that could transform our ability to predict and mitigate the impacts of extreme events, air pollution, and the changing climate.
Direct Nash Optimization: Teaching language models to self-improve with general preferences
This talk discusses teaching language models to self-improve using a preference oracle like GPT-4, framing it as a two-player game to find an optimal policy at a Nash equilibrium, and achieving state-of-the-art win rates against GPT-4 Turbo on benchmarks such…
This talk discusses a new kind of computer—an analog optical computer—that has the potential to accelerate AI inference and hard optimization workloads by 100x, leveraging hardware-software co-design to improve the efficiency and sustainability of real-world applications.