Culturally Aware Machines: Why and when are they useful?
Language, culture, and technology are deeply intertwined; any technology that aims to process or generate language must have a nuanced understanding of culture.
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15
Embodied AI Workshop at CVPR 2024
The Embodied AI 2024 workshop was held in conjunction with CVPR 2024 in Seattle, Washington.
475
10.2
GASP: Gaussian Avatars with Synthetic Priors
Gaussian Splatting has changed the game for real-time photo-realistic rendering. One of the most popular applications of Gaussian Splatting is to create animatable avatars, known as Gaussian Avatars.
1 359
8
A Closer Look at Falcon
Speakers: Jonas Janneck Host: Melissa Chase Falcon is a winner of NIST’s six-year post-quantum cryptography standardization competition.
775
11.4
Quantum Lattice Enumeration in Limited Depth, Fernando Virdia
Speakers: Fernando Virdia Host: Michael Naehrig In 2018, Aono, Nguyen, and Shen (ASIACRYPT 2018) proposed to use quantum backtracking algorithms (Montanaro, TOC 2018; Ambainis and Kokainis, STOC
107
Enhancing Security of Bluetooth Secure Connections via Deferrable Authentication
Speakers: Olga Sanina Host: Kim Laine The Bluetooth protocol for wireless connection between devices comes with several security measures toprotect confidentiality and integrity of data.
46
Improving the Security of United States Elections with Robust Optimization
For more than a century, election officials across the United States have inspected voting machines before elections using a procedure called Logic and Accuracy Testing (LAT).
27
Introducing BiomedParse, a groundbreaking foundation model for biomedical image analysis
Image analysis is fundamental for clinical diagnostics and biomedical discovery.
1 849
6.9
Low latency carbon budget 2023
In 2023, global land carbon sinks—the Earth’s forests, soils, and vegetation that absorb CO2—experienced a dramatic decline, as revealed by a study published in National Science Review by several
685
11
Future Directions for XR Interactions with Advanced Sensing Techniques and Haptic Design Frameworks
Speakers: Sang Ho Yoon Host: Michel Pahud The advancement in sensor/actuator hardware has enabled the development of wearable interfaces for AR/VR beyond.
525
6.1
Estimating mental workload in a simulated flight task using optical f-NIRS signals
Speakers: Elisabeth Heremans Host: Ivan Tashev Accurately estimating cognitive workload is essential for adaptive learning in pilot training, allowing flight simulation tasks to be tailored to
373
12.1
Look Ma, no markers: holistic performance capture without the hassle
We tackle the problem of highly-accurate, holistic performance capture for the face, body and hands simultaneously.
30 707
7.3
Hairmony: Fairness-aware hairstyle classification
We present a method for prediction of a person’s hairstyle from a single image.
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9
Data Formulator: Create Rich Visualization with AI iteratively
Data Formulator is a research prototype tool that enables users to iterate with AI to create rich data visualizations.
1 751
9.4
Pretrainer's Guide to Training Data: Measuring Effects of Age, Domain Coverage, Quality, & Toxicity
Pretraining is the preliminary and fundamental step in developing capable language models (LM).
731
11.3
AI for Business Transformation: Lessons from Healthcare
AI is already helping healthcare organizations drive innovation and efficiency gains.
1 225
10.4
AI for Business Transformation: Multimodal Models
Multimodal models hold the key to unprecedented advances in AI, moving beyond text and numbers to incorporate a much wider spectrum of inputs.
3 191
10.5
AI for Business Transformation: The Business of Data
The value of data has never been higher—it has become an essential driver of business decisions and it is critical for deploying AI successfully.
1 850
9.8
Ludic Design for Accessibility
Technology solutions for accessibility have long been created using a narrow utilitarian lens, especially in the Global South due to multi-dimensional challenges and resource constraints—an emphasis
491
9.3
At the Foothills of an AI Era in Science | Gilbert S. Omenn Grand Challenges Address
Eric Horvitz, Chief Scientific Officer of Microsoft, delivers the 2024 Gilbert S.
2 218
7.6
Fostering appropriate reliance on AI
Mihaela Vorvoreanu, Director UX Research and Responsible AI Education, Microsoft Aether, discusses reliance on AI. Because of their probabilistic nature, all AI systems will make mistakes.
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11.4
A generative model of biology for in-silico experimentation and discovery
Kevin Yang, Senior Researcher, Microsoft Research New England, shares how deep learning is enabling us to generate novel and useful biomolecules, allowing researchers and practitioners to better
803
6.9
Project Aurora: The first large-scale foundation model of the atmosphere
Megan Stanley, Senior Researcher, Microsoft Research AI for Science, talks about Aurora, a cutting-edge foundation model that offers a new approach to weather forecasting that could transform our
1 309
8.7
Direct Nash Optimization: Teaching language models to self-improve with general preferences
Corby Rosset, Senior Researcher, Microsoft Research AI Frontiers, discusses teaching language models to self-improve using a preference oracle like GPT-4, framing it as a two-player game to find an
2 034
8.1
Analog optical computing for sustainable AI and beyond
Francesca Parmigiani and Jiaqi Chu, researchers at Microsoft Research Cambridge, discuss a new kind of computer – an analog optical computer – that has the potential to accelerate AI inference and
4 981
6.7
Panel Discussion: Beyond Language: The future of multimodal models in healthcare, gaming, and AI
Microsoft researchers discuss the transformative potential and core challenges of multimodal models across various domains, including precision health, game intelligence, and foundation models.
1 628
9.3
Research Forum 4 | Keynote: Phi-3-Vision: A highly capable and "small" language vision model
Jianfeng Gao, Distinguished Scientist and Vice President in Microsoft Research Redmond, introduces Phi-3-Vision, an advanced and economical open-source multimodal model.
13 145
9
CataractBot: An LLM-Powered Experts-in-the-Loop Chatbot for Cataract Patients
Patients need reliable health information, but the digital age overwhelms them with excess and often inaccurate information.
2 093
8.6
ML for High-Performance Climate and Earth Virtualization Engines
Speaker: Torsten Hoefler Host: Karin Strauss Machine learning presents a great opportunity for Climate simulation and research.
1 090
8.1
Final intern talk: Distilling Self-Supervised-Learning-Based Speech Quality Assessment into Compact
Speaker: Benjamin Stahl Host: Hannes Gamper In this talk, we explore advancements in computational models for speech quality assessment.
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