AI solutions
on the scale of neurons
NeuronScale contains a collection of various information and resources related to Artificial Intelligence, Machine Learning, Deep Learning and data analysis. There are also technology companies that develop tools or technologies using Artificial Intelligence.
Intelligence
Learning
Learning
Additionally, there are links to various sources where you can learn more about a given technology. All data is divided into main categories. Moreover, the data is constantly updated and the website is expanded with new content.
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The latest blog posts, publications and articles from many websites
Blogs
Blogs of technology giants with a lot of scientific content, discussions and announcements of new products, services and technologies.
Publications
Scientific publications and the results of various research and the latest achievements. Developed by scientists and researchers who develop futuristic technologies and amazing visions.
Articles
General information from the industry, news in the world of technology and technology companies. Articles not only related to Artificial Intelligence but also cloud and web.
See resources in Feed category.
Cloud service providers who have extensive tools for Artificial Intelligence
Why Cloud Computing is crucial for Artificial Intelligence and Machine Learning?
Cloud computing is the backbone of artificial intelligence (AI) and machine learning (ML). It provides the vast computing power and storage needed to train complex AI models and analyze massive datasets. This on-demand scalability allows AI projects to grow seamlessly, while also offering cost-effective resources compared to physical hardware investments.
Amazon Web Services
Amazon Web Services, Inc. is a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered, pay-as-you-go basis.
Sample services:
Google Cloud Platform
Google Cloud Platform, offered by Google, is a suite of cloud computing services that provides a series of modular cloud services including computing, data storage, data analytics, and machine learning, alongside a set of management tools.
Sample services:
Microsfot Azure
Microsoft Azure, often referred to as Azure, is a cloud computing platform run by Microsoft. It offers access, management, and the development of applications and services through global data centers.
Sample services:
IBM Cloud
IBM Cloud is a set of cloud computing services for business offered by the information technology company IBM.
Sample services:
See other cloud providers and details of AI-related technologies.
Leading technology companies that create their own solutions based on AI
See other companies related to Artificial Intelligence.
Technologies that support building solutions based on AI and ML
Natural language processing (NLP) is a subfield of computer science that deals with the interaction between computers and human (natural) language. It enables computers to understand, interpret, and generate human language, encompassing a wide range of tasks such as machine translation, speech recognition, text summarization, sentiment analysis, chatbots, and question answering systems. NLP relies on sophisticated algorithms and techniques drawn from linguistics, artificial intelligence, machine learning, and statistical modeling to decipher the nuances of human language.
Read more about AI-based technologies.
Repositories related to AI/ML projects
Organizations
GitHub accounts of companies and various organizations that develop software for AI/ML/DL.
See all GitHub related resources.
Publications of the development of Artificial Intelligence and neural networks
OpenAI
No data about the creators
No data about the creators
No data about the creators
Nvidia
Amirmojtaba Sabour (NVIDIA, University of Toronto, Vector Institute) Sanja Fidler (NVIDIA, University of Toronto, Vector Institute) Karsten Kreis
Shih-Yang Liu (NVIDIA, HKUST) Chien-Yi Wang Hongxu Danny Yin Pavlo Molchanov Frank Wang Kwang-Ting Cheng (HKUST) Min-Hung Chen
Huan Ling (NVIDIA, Vector Institute, University of Toronto) Seung Wook Kim (NVIDIA, Vector Institute, University of Toronto) Antonio Torralba (MIT) Sanja Fidler (NVIDIA, Vector Institute, University of Toronto) Karsten Kreis
Hugues Thomas, Jian Zhang
Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta
Hongkai Chen, Zixin Luo, Ray Tian, Xuyang Bai, Aron Wang, Lei Zhou, Mingmin Zhen, Tian Fang, David McKinnon, Yanghai Tsin, Long Quan
Meta Research
Yunbo Zhang, Deepak Gopinath, Yuting Ye, Jessica Hodgins, Greg Turk, Jungdam Won
Simran Arora, Patrick Lewis, Angela Fan, Jacob Kahn, Christopher Ré
Vivek Parmar, Sandeep Kaur Kingra, Syed Shakib Sarwar, Ziyun Li, Barbara De Salvo, Manan Suri
Amazon Science
Hantian Ding, Zijian Wang, Giovanni Paolini, Varun Kumar, Anoop Deoras, Dan Roth, Stefano Soatto
Zhewei Sun, Qian Hu, Rahul Gupta, Richard Zemel, Yang Xu
Yanhui Guo, Shaoyuan Xu, Jinmiao Fu, Jia (Kevin) Liu, Chaosheng Dong, Bryan Wang
See all publications from other companies and research centers.
Resources with knowledge about AI and various related technologies
X platform
Accounts associated with content about AI, ML and deep learning
YouTube
Channels creating videos related to AI/ML/DL and data analysis
Creators creating content about AI, ML and deep learning
Roadmaps
Roadmaps for topics related to AI, programming, software and data science
See more other resources.
Basic AI concepts - definitions
A set of rules that a machine can follow to learn how to do a task.
This refers to the general concept of machines acting in a way that simulates or mimics human intelligence.
A machine is described as autonomous if it can perform its task or tasks without needing human intervention.
A method where the model starts with the desired output and works in reverse to find data that might support it.
Assumptions made by a model that simplify the process of learning to do its assigned task. Most supervised machine learning models perform better with low bias, as these assumptions can negatively affect results.
Datasets that are too large or complex to be used by traditional data processing applications.
Commonly used in image or video tagging, this is an imaginary box drawn on visual information. The contents of the box are labeled to help a model recognize it as a distinct type of object.
A chatbot is program that is designed to communicate with people through text or voice commands in a way that mimics human-to-human conversation.
This is effectively another way to say artificial intelligence. It's used by marketing teams at some companies to avoid the science fiction aura that sometimes surrounds AI.
A field within artificial intelligence that is primarily concerned with creating and analyzing machine learning algorithms.
A large dataset of written or spoken material that can be used to train a machine to perform linguistic tasks.
The process of analyzing datasets in order to discover new patterns that might improve the model.
Drawing from statistics, computer science and information science, this interdisciplinary field aims to use a variety of scientific methods, processes and systems to solve problems involving data.
A collection of related data points, usually with a uniform order and tags.
A function of artificial intelligence that imitates the human brain by learning from the way data is structured, rather than from an algorithm that's programmed to do one specific thing.
The process of labeling unstructured sentences with information so that a machine can read them. This could involve labeling all people, organizations and locations in a document, for example.
See more different concepts.
Tools based on Artificial Intelligence and Machine Learning technologies
Gemini
It's a generative AI chatbot developed by Google AI, designed to help you with various tasks like: writing, planing, learning.
Chat GPT
ChatGPT, developed by OpenAI, is a large language model chatbot. It can hold engaging conversations, generate creative text formats, answer questions, translate languages, and assist with tasks. It uses natural language processing and is constantly learning.
Copilot
Microsoft Copilot is an AI-powered digital assistant that aims to provide personalized assistance to users for a range of tasks and activities. Copilot doesn't just connect ChatGPT with Microsoft 365; it combines the power of large language models (LLMs) with your data in the Microsoft Graph.
Claude
Claude is a next-generation AI assistant based on Anthropic’s research into training helpful, honest, and harmless AI systems. Accessible through chat interface and API in developer console, Claude is capable of a wide variety of conversational and text processing tasks.
Perplexity
The AI assistant created by Perplexity is designed to provide accurate and high-quality information on a wide range of topics. Its knowledge is based on information available up to September 2021. It can assist with answering questions, providing explanations, and offering guidance on various subjects.
DALL•E 3
DALL·E 3 is an impressive AI system developed by OpenAI that can generate incredibly realistic and detailed images based on your text descriptions. It's the successor to DALL·E 2 and brings significant improvements.
Midjourney
Midjourney is another impressive AI system, similar to DALL-E 3, that allows you to generate images based on text descriptions. It's developed by an independent research lab called Midjourney, Inc. and has garnered attention for its unique features and growing community.
Stable Diffusion
Stable Diffusion is an open-source text-to-image AI model that generates realistic images based on user descriptions. It is less photorealistic than DALL-E 3 but readily accessible due to its open-source nature. Compared to Midjourney's focus on artistic styles, Stable Diffusion leans towards photorealism but offers customization possibilities through modifications.
GitHub Copilot
GitHub Copilot is an AI assistant for programmers, acting like a helpful coding partner. It lives within your coding environment and suggests code snippets, entire functions, or even solutions based on your comments and what you're working on.
Tabnine
It analyzes your code in real-time and suggests completions, saving you time and reducing errors. It supports various programming languages and integrates with popular development environments, making your coding experience more efficient and accurate.
Amazon CodeWhisperer
Amazon CodeWhisperer is an AI tool that helps developers write code faster. It analyzes your existing code and comments, then suggests real-time recommendations for completing lines or even whole functions. This tool can range from suggesting simple code snippets to providing full function bodies, boosting your productivity and streamlining your development workflow.
CodeT5+
Official research release for CodeT5 and CodeT5+ models for Code Understanding and Generation from Salesforce Research. In practice, CodeT5 and CodeT5+ models can be deployed as an AI-powered coding assistant to boost the productivity of software developers.
See category with all tools and dedicated solutions.
Hardware in the context of Artificial Intelligence computing
Hardware acceleration of AI calculations is essential for improving performance, energy efficiency, cost-effectiveness, and specialization. Specialized platforms like FPGAs, TPUs, and neuromorphic systems are emerging to complement traditional CPUs and GPUs.
CPUs (Central Processing Unit) remain crucial for AI tasks despite GPUs dominance due to their versatility in handling non-parallel and sequential computations in AI.
GPUs (Graphics Processing Units) have emerged as the powerhouses of AI computing, surpassing CPUs in their ability to handle the complex mathematical operations required for AI algorithms.
A Neural Processing Unit (NPU) is a specialized chip designed to speed up tasks related to Artificial Intelligence, especially Machine Learning.
Neuromorphic computing mimics the brain's design to create more efficient and adaptable computers.
Field-Programmable Gate Arrays (FPGAs) are customizable chips that can be fine-tuned for specific AI tasks, offering an advantage over general-purpose processors like CPUs and GPUs.
Application-Specific Integrated Circuits (ASICs) are custom-built chips that supercharge AI by focusing on specific tasks for maximum efficiency and performance.
Read more about hardware in the context of AI.
