AI-RESOURCES
Top AI resources for staying informed and learning about artificial intelligence
AI Research Papers and Preprint Servers
Keeping up with the latest AI studies is important to understand cutting-edge developments. One of the most well-known preprint servers is arXiv.org, where experts post their newest work. In this way, you can read papers before other researchers review them. This gives you early access to new AI trends and discoveries.
Top AI resources for staying informed and learning about artificial intelligence
Massive Open Online Courses (MOOCs) provide structured learning experiences for both AI hobbyists and professionals
Coursera AI Courses: Provides several highly acclaimed AI and machine learning courses, including Andrew Ng’s well-known “AI for Everyone” and more technical neural networks and deep learning courses.
EdX
EdX is an online platform offering artificial intelligence and machine learning courses from major universities.
Udacity
Udacity’s new AI Hub is a one-stop shop for learning tools in AI. It aims to help you stay up to date in this rapidly changing field.
AI-Focused Podcasts
Podcasts offer a fantastic opportunity to keep up with the latest in AI, all while on the move. Here are a few well-known AI podcasts:
Lex Fridman
Join the “Lex Fridman Podcast,” where captivating interviews with AI researchers and visionary thought leaders unfold.
AI in Business
AI in Business covers AI applications across numerous businesses. To identify AI adoption trends, use cases, and best practices.
Machine Learning Guide
This podcast explains AI ideas in a way that is easy for beginners to understand.
AI News Websites and Blogs
Websites that focus on artificial intelligence (AI) news collect articles about recent advances.:
MIT Technology Review (AI section): This publication regularly shares new AI technologies and how they affect many different areas of life. Several times a week, they put out new stories.
Google AI Blog: Provides information on AI advancements beyond Google, including captivating visuals and references to other authoritative sources. New blogs are published weekly.
OpenAI Blog: Keep yourself informed on the latest developments in artificial intelligence and the advantages they bring to society
DeepMind Blog: To create safer and more accountable technology, new studies examine the current usage of multimodal generative AI.
AI Conferences and Workshops
While often requiring in-person attendance, AI conferences are invaluable for networking and learning about cutting-edge research. Notable conferences include:
NeurIPS (Neural Information Processing Systems)
The December Neural Information Processing Systems Conference and Workshop is crucial to machine learning and computational neuroscience. It stands proudly alongside ICLR and ICML as one of the three key conferences that have significantly influenced research in both machine learning and artificial intelligence
ICML (International Conference on Machine Learning)
The International Conference on Machine Learning (ICML) is the leading machine learning conference worldwide. Backed by the esteemed International Machine Learning Society (IMLS), this conference is a hub for innovation and collaboration. The exact dates fluctuate annually, you can typically expect paper submissions to be due by the end of January, with the conference held in July.
AAAI Conference on Artificial Intelligence
The AAAI Conference on Artificial Intelligence (AAAI) is an annual leading international academic conference in artificial intelligence. The Association for the Advancement of Artificial Intelligence supports it. Precise dates vary from year to year, but paper submissions are generally due at the end of August to the beginning of September, and the conference is usually held during the following February.
GitHub Repositories
GitHub hosts numerous open-source AI projects and libraries. Following popular repositories:
TensorFlow
Open-source machine learning library that can be used to develop AI applications across different programming languages.
PyTorch
PyTorch is a fully featured framework for building deep learning models, a type of machine learning commonly used in applications like image recognition and language processing. Written in Python, it’s relatively easy for most machine learning developers to learn and use.
Hugging Face
Hugging Face is a machine learning (ML) and data science platform and community that helps users build, deploy, and train machine learning models. It provides the infrastructure to demo, run, and deploy artificial intelligence (AI) in live applications.
AI-Focused YouTube Channels
Visual learners can benefit from AI-focused YouTube channels that explain complex concepts in accessible ways. Some popular channels include:
Two Minute Papers aims to communicate the latest scientific discoveries, ideas, and results, bringing people into conversations often reserved for field experts. This YouTube series showcases and attempts to explain interesting research works, for a couple of minutes or more at a time.
3Blue1Brown is a math YouTube channel that focuses on teaching higher mathematics from a visual perspective and on the process of discovery and inquiry-based learning in mathematics.
Join the “Lex Fridman Podcast,” where captivating interviews with AI researchers and visionary thought leaders unfold.
Mat Wolf is a personal favorite of mine. He shares all the latest news and insights in the AI world.
AI Community Forums
Online forums and communities provide platforms for discussion and knowledge sharing:
Reddit’s r/MachineLearning and r/artificial
Some of the best resources to learn about AI for complete beginners.
Stack Overflow’s AI-related tags
Stack Overflow for VS Code also allows developers to access and learn from AI- and human-generated content simultaneously.
Kaggle forums
This is a Community forum with topics about machine learning, data science, and big data analytics.
AI Newsletters
Curated newsletters can deliver AI news and insights directly to your inbox. Some popular options include:
Import AI by Jack Clark
Import AI is a weekly newsletter about artificial intelligence, based on detailed analysis of cutting-edge research.
The Algorithm by MIT Technology Review
“The Algorithm” is a weekly AI newsletter that thoughtfully examines the field’s latest news and research.
AI Weekly
Artificial Intelligence & Deep Learning Weekly collection of the best news and resources on Artificial Intelligence and Machine Learning.
Interactive AI Tools and Platforms
Gaining practical experience with AI tools can deepen your comprehension. Utilize platforms that enable you to explore AI models and datasets with minimal setup requirements:
Google Colab
Colab notebooks enable the integration of executable code and rich text in one document, along with support for images, HTML, LaTeX, and additional elements.
Kaggle Kernels
Kernels enable users to write, execute, and publicly share their code on Kaggle. This tool assists individuals in generating new ideas and enhancing their models, offering a collaborative opportunity within a competitive environment.
Hugging Face Spaces
Spaces provide an easy method to host ML demo applications directly on your or your organization’s profiles. This feature enables you to build your ML portfolio, present your projects at conferences or to stakeholders, and collaborate with others in the ML community.
