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July 10, 20265 min readHydroShear, a new physics-based simulator, teaches robots how to use their sense of touch to perform complex manipulation tasks, in a way that transfers seamlessly to the real world. -
July 9, 202610 min read -
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Featured news
Hosted by Danielle Perszyk, cognitive scientist at Amazon, the podcast features researchers tackling the hardest problems in agentic AI — from building reliable perception systems to designing training environments that mirror human learning.
The Antibody Developability Benchmark is powered by one of the most diverse antibody datasets in public literature, enabling transparent performance evaluation for AI-guided antibody design.
Challenge pushes teams to demonstrate measurable gains in secure-coding performance while building AI agents that advance real-world utility and reliability at scale.
Initiative will fund over 100 doctoral students researching machine learning, computer vision, and natural-language processing at nine universities.
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SIGIR 2023 Workshop on eCommerce2023Learning-to-rank models are mostly evaluated based on how good it is able to estimate the user behaviour. Output metrics like NDCG become the obvious choice for the purpose. A model is considered to have a good performance if it is able to predict the correct ranked ordering, else it is considered to be of poor quality. However the performance of a model is not only dependent on the prediction power of
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ACM IMX 20232023Virtual Product Placement (VPP) is an advertising technique that digitally places branded objects into movie or TV show scenes. Despite being a billion-dollar industry, current ad rendering techniques are time-consuming, costly, and executed manually with the help of visual effects (VFX) artists. In this paper, we present a fully automated and generalized framework for placing 2D ads in any linear TV cooking
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The International Association for Cryptologic Research (IACR)2023In a hybrid key establishment system, multiple independent key establishment schemes are combined in a manner that also combines their security properties. Such constructions can combine systems that are secure in different settings and achieve the combined security of all systems. For example, classical and post-quantum systems can be combined in order to secure communication against current threats as
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ACL Findings 20232023Code-mixing is ubiquitous in multilingual societies, which makes it vital to build models for code-mixed data to power human language interfaces. Existing multilingual transformer models trained on pure corpora lack the ability to intermix words of one language into the structure of another. These models are also not robust to orthographic variations. We propose CoMix1, a pre-training approach to improve
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CVPR 20232023Model selection is essential for reducing the search cost of the best pre-trained model over a large-scale model zoo for a downstream task. After analyzing recent hand-designed model selection criteria with 400+ ImageNet pre-trained models and 40 downstream tasks, we find that they can fail due to invalid assumptions and intrinsic limitations. The prior knowledge on model capacity and dataset also can not
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Gretchen Ertl
The program offers unrestricted funds and other resources to support research at academic institutions and non-profit organizations in areas that align with our mission.
A global university competition to drive secure innovation in generative AI technology, which focuses on responsible AI and large language model coding security.
Credit: Wolfram Scheible
We partner with particular academic organizations across the world for deep and sustained collaborations in multiple research areas of mutual interest.
Courtesy of Pai-Ling Yin
We hire world-class academics to work on large-scale technical challenges, while they continue to teach and conduct research at their universities.
