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July 30, 20268 min readInstead of compromising among parameter updates dictated by different training objectives, ControlG allocates computational capacity to objectives sequentially and dynamically. -
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July 9, 202610 min read
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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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IEEE ITherm 20222022Portable consumer electronics devices continue to be one of electronics high-demand items, with rising interest in such products recently. Li-Ion batteries are the most popular power source choice of these products owing to a combination of high specific energy and specific power. In consumer electronics products, these batteries are generally employed in their coin form factor in biomedical devices, sensors
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VLDB 20222022Content delivery networks (CDNs) are critical for minimizing access latency in the Web as they efficiently distribute online resources across the globe. But since CDNs can only be enabled on the scope of entire websites (and not for individual users or user groups), the effects of page speed acceleration are often quantified with potentially skewed before-after comparisons rather than statistically sound
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ICLR 2022 Workshop on Deep Generative Models for Highly Structured Data2022Performance of recommender systems (RecSys) relies heavily on the amount of training data available. This poses a chicken-and-egg problem for early-stage products, whose amount of data, in turn, relies on the performance of their RecSys. In this paper, we explore the possibility of zero-shot learning in RecSys, to enable generalization from an old dataset to an entirely new dataset. We develop, to the best
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SIGIR 20222022Many IR collections contain forbidden documents (𝐹 -docs), i.e. documents that should not be retrieved to the searcher. In an ideal scenario 𝐹 -docs are clearly flagged, hence the ranker can filter them out, guaranteeing that no 𝐹 -doc will be exposed. However, in real-world scenarios, filtering algorithms are prone to errors. Therefore, an IR evaluation system should also measure filtering quality in
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DesignCon 20222022Electrostatic discharge (ESD) events can result in soft and hard failures to an integrated circuit (IC). To protect the ICs from ESD, ESD protection structure is critical for chip-level design. Since chip-level internal ESD protection circuit information is often not released to the public, we propose a new modeling methodology using vector network analyzer (VNA), time domain reflectometer (TDR), source
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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.
