2021 年底,DeepMind 提出了 RETRO 模型(https://www.deeplearning.ai/the-batch/large-language-models-shrink/),该模型可以从 MassiveText 数据集中检索段落,并将其整合到输出中。 AI21 实验室春季发布的 Jurassic -X 引入了一系列模块(https://www.deeplearning.ai/the-batch/neural-nets-rules-truer-text/)...
In this manuscript, we explore a Machine Learning (ML)-based method for the inverse design of the meta-optical structure. We present a data-driven approach for modeling a grating meta-structure which performs photonic beam engineering. On-chip planar photonic waveguide-based beam engineering offers...
FreeformNet: fast and automatic generation of multiple-solution freeform imaging systems enabled by deep learning FreeformNet: fast and automatic generation of multiple-solution freeform imaging systems enabled by deep learning Using freeform optical surfaces in lens design can lead to much higher ...
You may have heard of machine learning, but are you familiar with deep learning? It’s active in more areas of your life than you may be aware, so let’s get into it!
followed by cutting-edge research. Many of the ideas actually lead towards what we call AGI (general AI) The book takes a deep dive into "meta learning (learning to learn)", which I believe is the most efficient way to automate engineering of a thinking machine: bootstrapping itself and ...
Newsletter on deep learning with satellite & aerial imagery. Click to read satellite-image-deep-learning, by Robin Cole, a Substack publication with tens of thousands of subscribers.
We describe a case study of a third-year undergraduate class in Enterprise Education. A blended learning design in the form of a flipped classroom with a duration of one semester, was explored in two cohorts. The question was to explore how students expe
Glaucoma is a disease associated with the loss of retinal ganglion cells (RGCs), and remains one of the primary causes of blindness worldwide. Major research efforts are presently directed towards the understanding of disease pathogenesis and the develop
Meta-AAD: Active anomaly detection with deep reinforcement learning. ICDM, 2020. paper Daochen Zha, Kwei-Herng Lai, Mingyang Wan, and Xia Hu. Semi-supervised learning via DQN for log anomaly detection. arXiv, 2024. paper Yingying He, Xiaobing Pei, and Lihong Shen. OIL-AD: An anomaly dete...
USENIX Security '23 - PCAT:Functionality and Data Stealing from Split Learning b 11:13 USENIX Security '23 - Powering Privacy:On the Energy Demand and Feasibility of A 12:55 USENIX Security '23 - Greenhouse:Single-Service Rehosting of Linux-Based Firmwar ...