Research team proposes solution to AI's continual learning problem
A team of Alberta Machine Intelligence Institute (Amii) researchers has revealed more about a mysterious problem in machine learning—a discovery that might be a major step towards building advanced AI that can function ...
Aug 31, 2024
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Virtual and augmented reality can temporarily change the way people perceive distances, finds study
Researchers at the University of Toronto have found that using virtual and augmented reality (VR and AR) can temporarily change the way people perceive and interact with the real world—with potential implications for the ...
Aug 30, 2024
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HeterMM: Applying in-DRAM index to heterogeneous memory-based key-value stores
Emerging byte-addressable storage technologies, such as NVM, provide a more cost-effective and larger-capacity alternative to DRAM, presenting new opportunities to address the high cost, limited capacity, and volatility of ...
Aug 30, 2024
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Google's GameNGen simulates parts of video game Doom
A team of researchers from Google Research, Google Deep Mind and Tel Aviv University reports that it is possible to use machine learning applications to recreate and simulate parts or all of an existing video game.
Universal accelerator finds faster answers to complex problems
A good machine-learning algorithm is a powerful research accelerator. Pair it with a computer simulation and it can sniff out mathematical shortcuts through the program, propelling scientists to faster insights about the ...
Aug 28, 2024
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Study seeks to unite high-performance computing, quantum computing for science
A study by more than a dozen scientists at the Department of Energy's Oak Ridge National Laboratory examines potential strategies to integrate quantum computing with the world's most powerful supercomputing systems in the ...
Aug 28, 2024
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AI was born at a US summer camp 68 years ago—here's why that event still matters today
Imagine a group of young men gathered at a picturesque college campus in New England, in the United States, during the northern summer of 1956.
Aug 28, 2024
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A new and simple approach extending data expansion-based implicit discourse relation classification
Discourse relation classification is a fundamental task for discourse analysis, which is essential for understanding the structure and connection of texts. Implicit discourse relation classification aims to determine the ...
Aug 27, 2024
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Miniaturized brain-machine interface processes neural signals in real time
Researchers from EPFL have developed a next-generation miniaturized brain-machine interface capable of direct brain-to-text communication on tiny silicon chips.
Aug 26, 2024
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Synchronized foot vibrations improve virtual walking experiences, study shows
New research reveals that synchronized foot vibrations and posture significantly enhance virtual walking experiences for stationary observers, improving self-motion, walking sensation, and embodiment. Standing posture was ...
Aug 26, 2024
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Quantum tech is a high-stakes gamble. Here's how Australia can find a way forward
Last week, quantum computers were added to Australia's Defense and Strategic Goods List of controlled items facing export restrictions. That's because quantum technologies—which may soon provide huge advances in computing, ...
Aug 26, 2024
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Without texts, automatic bug assignment still works well: Study
Automatic bug assignment has been well studied in the past decade. As textual bug reports usually describe the buggy phenomena and potential causes, engineers highly depend on these reports to fix bugs. Researchers heavily ...
Aug 26, 2024
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Researchers propose a smaller, more noise-tolerant quantum factoring circuit for cryptography
The most recent email you sent was likely encrypted using a tried-and-true method that relies on the idea that even the fastest computer would be unable to efficiently break a gigantic number into factors.
Aug 23, 2024
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New method allows AI to learn indefinitely
A team of AI researchers and computer scientists at the University of Alberta has found that current artificial networks used with deep-learning systems lose their ability to learn during extended training on new data. In ...
Computer vision researchers develop bilateral reference framework for high-resolution dichotomous image segmentation
A research team has developed a computer vision technique that can perform dichotomous image segmentation, high-resolution salient object detection, and concealed object detection in the same framework. Their novel bilateral ...
Aug 22, 2024
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Adaptive-k: A simple and effective method for robust training in label noisy datasets
Training deep learning models on large datasets is essential for their success; however, these datasets often contain label noise, which can significantly decrease the classification performance on test datasets.
Aug 22, 2024
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Scientists establish brain-inspired network model to bridge AI and neuroscience
A team of Chinese scientists has established a novel brain-inspired network model based on internal complexity to address challenges faced by traditional models, such as high consumption of computing resources, according ...
Aug 21, 2024
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New benchmarking tool evaluates the factuality of LLMs
A team of AI researchers and computer scientists from Cornell University, the University of Washington and the Allen Institute for Artificial Intelligence has developed a benchmarking tool called WILDHALLUCINATIONS to evaluate ...