A Joyful AI Research Journey🌳😊

In Google Colab, the type of hardware accelerator you use greatly affects the performance of your computations, especially when working with machine learning and deep learning models. Below is a summary of the differences among the various hardware accelerators available in Google Colab:1. CPU (Central Processing Unit)Use Case: Suitable for general-purpose computations and light tasks.Speed: Rel..

https://www.instagram.com/p/DByKVNHps74/?igsh=MXQ4dWhjbHh0NTR0bw==1. ResearchRabbit (문헌 검토 인용) ResearchRabbitThe most powerful discovery app ever built for researchers 🔥www.researchrabbit.ai 2. PopAi (논문 특화 핵심 요약) PopAi: Your Personal AI WorkspacePopAi revolutionizes document interaction, offering seamless navigation, enhanced readability, and universal accessibility. Navigate effortlessly thro..

VISION과 LLM(대형 언어 모델)은 각각의 특성과 응용 가능성이 다르기 때문에 어떤 것이 더 전망이 좋은지 단정짓기 어려운 측면이 있습니다. 다만 두 분야 모두 AI 연구 및 산업 내에서 중요한 역할을 하고 있으며, 각기 다른 장점을 가지고 있습니다. 어느 쪽이 더 전망이 좋다고 보다는, 개인적인 관심사와 커리어 목표에 따라 어느 쪽이 더 맞는지 생각하는 것이 중요합니다. 다음은 각 분야의 현재 전망과 장단점에 대한 비교입니다.VISION (컴퓨터 비전)강점과 전망물리적 세계와의 연결: 컴퓨터 비전은 이미지나 비디오 데이터를 분석하여 3D 객체 인식, 행동 인식, 공간적 이해 등을 통해 물리적 세계와의 상호작용을 가능하게 합니다. 이는 자율주행차, 로봇 공학, 의료 영상 분석 등 다양한 응용 분야에..

AI는 여러 가지 다양한 하위 분야로 구성되어 있으며, 각 분야는 특정한 문제를 해결하기 위해 고유한 기법과 응용을 가지고 있습니다. 대표적인 AI의 하위 분야는 다음과 같습니다:1. 머신 러닝 (Machine Learning)데이터를 사용해 모델을 학습하고, 패턴을 발견하거나 예측을 수행하는 분야입니다. 대표적으로 지도 학습, 비지도 학습, 강화 학습 등이 있습니다.머신 러닝은 특히 이미지 인식, 음성 인식, 추천 시스템 등에 많이 사용됩니다.2. 딥 러닝 (Deep Learning)머신 러닝의 한 하위 분야로, 인공 신경망을 사용해 복잡한 패턴을 학습합니다. CNN(합성곱 신경망), RNN(순환 신경망), 트랜스포머 등이 딥 러닝의 중요한 모델들입니다.이미지 분류, 자연어 처리, 자율 주행 등 여러 ..

Data science is not exactly a subcategory of artificial intelligence (AI), but the two are closely related and often overlap. Data science involves techniques for collecting, processing, analyzing, and interpreting large sets of data, often using statistical methods and programming. It serves as a foundation for AI by providing the data needed for training machine learning models, which are a co..

ChatGPT, OpenAICO₂ flux inversion is a method used in atmospheric science to estimate the sources and sinks of carbon dioxide (CO₂) based on observed atmospheric CO₂ concentrations. This technique combines observations of CO₂ concentrations from various platforms (such as satellites, ground stations, and aircraft) with atmospheric transport models to "invert" the observed data and deduce where C..

The data privacy mechanisms discussed are closely related to AI, particularly in the context of developing, deploying, and managing AI systems that handle sensitive or personal data. Here's how these concepts are connected to AI:1. Data EncryptionRelation to AI: AI models often require access to large datasets, which might include sensitive or personal information. Encrypting this data ensures t..

Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Go-mez, Lukasz Kaiser, Illia Polosukhin, 2017, Attention Is All You Need, https://arxiv.org/abs/1706.03762 Attention Is All You NeedThe dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration. The best performing models also connect t..

ChatGPTIn addition to "Speech and Language Processing" by Jurafsky and Martin, here are some other fundamental and comprehensive textbooks in the field of Natural Language Processing (NLP):1. "Speech and Language Processing" by Daniel Jurafsky and James H. MartinWhy It’s Top: This book is the most comprehensive and widely used textbook in the field. It covers a broad range of NLP topics from bot..

https://www.alignmentforum.org AI Alignment ForumA community blog devoted to technical AI alignment researchwww.alignmentforum.orghttps://www.reddit.com/r/MachineLearning/?rdt=49310 /r/learnmachinelearning , AGI -> /r/singularity" data-og-host="www.reddit.com" data-og-source-url="https://www.reddit.com/r/MachineLearning/?rdt=49310" data-og-url="https://www.reddit.com/r/MachineLearning/?rdt=49310..

https://huggingface.co/spaces/stabilityai/stable-fast-3d Stable Fast 3D - a Hugging Face Space by stabilityai huggingface.coSF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination DisentanglementSF3D is a state-of-the-art method for 3D mesh reconstruction from a single image. This demo allows you to upload an image and generate a 3D mesh model from it.TipsIf the image alread..

ChatGPTYes, studying computer vision is different from natural language processing (NLP), though both are subfields of artificial intelligence (AI). Here are the key differences:Computer VisionFocus: Deals with understanding and interpreting visual information from the world, such as images and videos.Techniques: Involves image processing, feature extraction, object detection, image segmentation..

https://www.overleaf.com Overleaf, Online LaTeX EditorAn online LaTeX editor that’s easy to use. No installation, real-time collaboration, version control, hundreds of LaTeX templates, and more.www.overleaf.com

https://www.technologyreview.com/2024/03/05/1089449/nobody-knows-how-ai-works/ Nobody knows how AI worksIt’s still early days for our understanding of AI, so expect more glitches and fails as it becomes a part of real-world products.www.technologyreview.com

In computer vision, "depth" refers to the distance between a camera and an object in the scene being captured. It represents the third dimension in a 3D space, providing information about how far away objects are from the viewpoint of the camera. This is crucial for understanding the spatial arrangement and structure of the scene.Depth information can be obtained using various techniques, includ..