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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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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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AAAI 2023 Workshop on Uncertainty Reasoning and Quantification in Decision Making2023Conversational agents like chat bots and voice assistants are trained to understand and respond to user intents. On encountering an utterance with an intent different from the ones they have been trained on, these agents are expected to classify the intent as “unknown” or “out of domain”. This problem is known as out of domain (OOD) intent detection. Podolskiy et al. (2021), showed that Mahalanobis distance
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WACV 2023 Workshop on Video/Audio Quality in Computer Vision2023Video quality assessment (VQA) has sparked a lot of interest in the computer vision community, as it plays a critical role in services that provide customers with high quality video content. Due to the lack of high quality reference videos and the difficulties in collecting subjective evaluations, assessing video quality is a challenging and still unsolved problem. Moreover, most of the public research
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14th Edition of the Conference on the Digital Economy (CODE)2023E-commerce business depends on smooth day to day functioning of its warehouses/facilities. The functioning of these facilities depend on the health of material handling equipment. To keep these equipment healthy, these facilities employ the help of maintenance engineers who perform predictive/breakdown maintenance work. To ensure an effective maintenance operation necessitates efficient planning of maintenance
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IEEE CCNC 20232023The application of machine learning (ML) techniques in wireless communication domain has seen a tremendous growth over the years especially in the wireless sensing domain. However, the questions surrounding the ML model’s inference reliability, and uncertainty associated with its predictions are never answered or communicated properly. This itself raises a lot of questions on the transparency of these ML
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QIP 20232023We present a quantum algorithm that has rigorous runtime guarantees for several families of binary optimization problems, including Quadratic Unconstrained Binary Optimization (QUBO), Ising spin glasses (p-spin model), and k-local constraint satisfaction problems (kCSP). We show that either (a) the algorithm finds the optimal solution in time O∗(2(0.5−c)n) for an n-independent constant c, a 2 cn advantage
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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
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