learning

Baidu offers ERNIE-VIL 2.0, a multi-view contrastive learning framework that aims to gain a more robust cross-modal representation by simultaneously establishing intramodal and cross-modal correlations between distinct views

Baidu offers ERNIE-VIL 2.0, a multi-view contrastive learning framework that aims to gain a more robust cross-modal representation by simultaneously establishing intramodal and cross-modal correlations between distinct views

Vision-language pre-training (VLP) models have made significant progress on several cross-modal tasks, such as visual question answering (VQA) and cross-modal retrieval, over the past two years. The majority of previous efforts based on intermodal transformer encoders focus on creating several proxy pre-training tasks (e.g., masked language modeling (MLM) and masked region modeling (MRM)) to learn …

Baidu offers ERNIE-VIL 2.0, a multi-view contrastive learning framework that aims to gain a more robust cross-modal representation by simultaneously establishing intramodal and cross-modal correlations between distinct views Read More »

Latest Machine Learning Research Offers FP8 Binary Swap Format: A Natural Progression to Accelerate Deep Learning Inference

Latest Machine Learning Research Offers FP8 Binary Swap Format: A Natural Progression to Accelerate Deep Learning Inference

To meet the growing computational needs of neural networks, AI processing requires comprehensive innovation across hardware and software platforms. Using lower precision digital formats to increase computational efficiency, reduce memory usage, and optimize interconnect bandwidth is a crucial area for improving efficiency. The researchers believe that having a standard interchange format will promote the rapid …

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K–12 student using laptop device in classroom for learning

Aligning the digital classroom with student learning needs and goals

Implement technology with a focus on student outcomes When making decisions about the use of technology in schools, it’s important to define the problem with the right questions. “What will this new technology bring to students?” is more important than “What can this new technology do?” Digital resources and online tools should be designed and …

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Renesas' latest RZ/V2MA microprocessor includes acceleration engines for OpenCV and Deep Learning

Renesas’ latest RZ/V2MA microprocessor includes acceleration engines for OpenCV and Deep Learning

Renesas Electronics Corporation provides comprehensive semiconductor solutions that enable billions of connected smart devices to improve people’s work and lives. These solutions are based on trusted embedded design innovation. Renesas, a market leader in microcontrollers, analog, power and SoC technologies, offers complete solutions for a variety of automotive, industrial, home electronics, office automation and information …

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Lifelong on-device learning with new training technique

Lifelong on-device learning with new training technique

A team of researchers from MIT and the MIT-IBM Watson AI Lab have developed a new technique that enables on-device training using less than a quarter of a megabyte of memory. The new development is an impressive achievement as other training solutions typically require over 500 megabytes of memory, which exceeds the 256 kilobyte capacity …

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Post-Stroke Respiratory Complications Using Machine Learning with Voice Capabilities from Mobile Devices – Scientific Reports

Warnecke, T. et al. Neurogenic dysphagia: systematic review and proposal of a classification system. Neurology 96e876–e889 (2021). CAS PubMed Google Scholar Armstrong, JR & Mosher, BD Aspiration pneumonia after stroke: intervention and prevention. Neurohospitalist 185–93 (2011). Google Scholar article Park, HY et al. Potential prognostic impact of dopamine D1 receptor (rs4532) polymorphism on post-stroke outcomes …

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A new approach to machine learning could make chaos more predictable

A new approach to machine learning could make chaos more predictable

The vast digit-processing capabilities of AI systems mean we can better predict the future of chaotic systems based on fewer and fewer patterns from the past – and a new algorithm adds even more precision to the process. Developed using next-generation reservoir computing techniques, which take a more dynamic and faster approach to machine learning, …

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PhD Researcher (PhD Student), Machine Learning in Reactive Transport Modeling job with UNIVERSITY OF EASTERN FINLAND |  311505

PhD Researcher (PhD Student), Machine Learning in Reactive Transport Modeling job with UNIVERSITY OF EASTERN FINLAND | 311505

The University of Eastern Finland is inviting applications for a PhD Research Position in Machine Learning in Reactive Transport Modeling at the Department of Applied Physics at Kuopio Campus. The position will be filled for a fixed term of four years starting January 1, 2023 (or agreed start date). Please find more information below and …

PhD Researcher (PhD Student), Machine Learning in Reactive Transport Modeling job with UNIVERSITY OF EASTERN FINLAND | 311505 Read More »

The Truth About 'Lie Detector' AI and Machine Learning Disclosure Analysis

The Truth About ‘Lie Detector’ AI and Machine Learning Disclosure Analysis

In most cases, effective communication is intuitive – you know it when you hear it. As an IR professional, you are probably a natural communicator in your day-to-day life and investors are, after all, just people. But what does an effective message look like when your audience is a machine? Investors are increasingly adopting advanced …

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Expert Insights: How to Protect Sensitive Machine Learning Training Data Without Getting Bored

Expert Insights: How to Protect Sensitive Machine Learning Training Data Without Getting Bored

Previous columns in this series have introduced the problem of data protection in machine learning (ML), highlighting the real challenge posed by operational query data. That is, when you use an ML system, you’re likely facing more data exposure risks than when you train one in the first place. By my rough estimate, data accounts …

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