The process of CV-based human identification for an unknown deceased individual can be significantly expedited when additionally using a CNN to estimate the individual’s age. The deep learning-based age estimation has shown reliability for individuals between the ages of 2…
Editor’s Note: Andrew Nguonly has been building one of the more impressive projects we’ve seen recently – an LLM co-pilot for browsing the web, powered by local LLMs. There are a lot of small architectural decisions made that contain a…
Meta learning, which is also referred to as learning to learn has become an area of research, in the field of machine learning. Its objective is to provide models, with the capability to swiftly adapt to tasks or domains when…
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The field of image segmentation has seen drastic changes in recent years due to deep learning techniques. Vision Transformers have a big role to play in this. Namely, there are three major image segmentation techniques in deep learning. They are…
Altman, N. & Krzywinski, M. Regression diagnostics. Nat. Methods 13, 385–386 (2016). Article CAS Google Scholar Peddireddy, S. P. et al. Antibodies targeting conserved non-canonical antigens and endemic coronaviruses associate with favorable outcomes in severe COVID-19. Cell Rep. 39, 111020…
Hatano, A. et al. CELLPEDIA: a repository for human cell information for cell studies and differentiation analyses. Database (2011). Oliver, A. J. et al. Tissue-dependent tumor microenvironments and their impact on immunotherapy responses. Front. Immunol. 9, 70 (2018). Article …
Low-rank adaptation (LoRA) is a machine learning technique that modifies a pretrained model (for example, an LLM or vision transformer) to better suit a specific, often smaller, dataset by adjusting only a small, low-rank subset of the model’s parameters. This…
AI caught everyone’s attention in 2023 with Large Language Models (LLMs) that can be instructed to perform general tasks, such as translation or coding, just by prompting. This naturally led to an intense focus on models as the primary ingredient…
A few years ago, MIT researchers invented a cryptographic ID tag that is several times smaller and significantly cheaper than the traditional radio frequency tags (RFIDs) that are often affixed to products to verify their authenticity. This tiny tag, which…
Bring this project to life In this article we introduce Real-Time DEtection TRansformer (RT-DETR), the first real-time end-to-end object detector addressing the issue of the high computational cost existing with the DETRs. The recent research paper DETRs Beat YOLOs on…
Authors: Edo Liberty, Guillermo Rauch, Ori Goshen, Robert Nishihara, Harrison Chase AI in 2030 AI is rapidly changing. Too rapidly for most. Ten years ago it was all about big data and ML. Deep Learning was a “buzzy” term that…