When it comes to artificial intelligence (AI), the Artificial General Intelligence (AGI) emerged as a primordial ideal in order to create machines which can mimic not only the human’s cognitive skills but also the reasoning. This is the reason behind the surge of entrepreneurs who are juiced to head the race in developing new technological innovations that have never been seen before. OpenAI’s language models are revolutionary stories whereas guided through the complex and intricate decisions in mastering the game like Go, the theoretical groundwork for AGI rests on these companies’ shoulders. Research labs at IBM, OpenCog, Vicarious, and Numenta are utilizing a variety of approaches, from the neuroscience-inspired algorithms to the decentralized AI platforms, to come closer than ever before to the long-standing goal of AGI. Welcome to the adventure of discovering the top artificial general intelligence companies crawling the catacombs of advanced AI systems which may someday rival human intellect.

OpenAI is a reputable area of research involved in the craft of AGI systems. It’s OpenAI that has opened the doors for language and provenience learning with the GPT (Generative Pre-trained Transformer) series and the game-changer called DALL-E. OpenAI is striving to create AGI despite previously encountering concerns about secure and favorable application.

DeepMind, brought under the wing of Google in 2014, not only has contributed to the game of go by performance an AGI but also improved the learning by reinforcement algorithm. And their AlphaGo program is known for being the first one to have beaten world champions in the highly complex game of Go. DeepMind is making rapid progress in studying the mind, with a specific focus on the creation of algorithms that can span over other tasks.

AI and cognitive computing are the major fields that IBM Research has been engaging its research on. IBM Watson, the cognitive computing system with which they worked, displays their expertise in natural language communication and the ability to recognize important relationships in an instant. IBM is confidently exploring AGI to build systems, that have human-level intelligence in different areas such as health and finance lines.

OpenCog is a specialized AGI project which is open-source and attempts to design and create a complete line of AGI framework and methods. It involves an amalgamation of symbolic reasoning, probabilistic logic, and deep learning leading to an integrated system of artificial general intelligence. The OpenCog IA architecture development is aimed at the creation of clever and versatile systems that can be easily expanded.

‘Vicarious’ strives to produce AGI whereby the human brain functions will be their primary basis of operation. They replicate such scientific experiments by developing artificial intelligence systems that possess cognitive abilities such as abstract reasoning, imagination, and problem-solving. The main objective of the vicarious is to develop AI that will operate like human beings, that is, constantly gaining skills through learning and adjusting.

Numenta creates platforms, using HTM principles, to give life to AGI. Data-driven, self-adaptive neural networks are the foundation of HTM technology for copying the cortex, which smart devices use to predict output based on the streaming input. Numenta’s research has a great potential for AI use in detecting anomalies and spotting patterns so it might be used for medical purposes or being applied to other fields.

SingularityNET is a decentralized AI ecosystem which incorporates blockchain technology and the method of multiple interconnected intelligence services to support the development of true Artificial General Intelligence through collaboration and open access. AI systems are being used to trade AI services in a blockchain-powered demo, where they develop through system interactions with artificial general intelligence (AGI).

Cognitive AI narrows down evolving AGI systems that can create human-like perception and be able to communicate with the world interchangeably. They encompass improved perception, reasoning, and learning abilities via their AI solutions. Cognitive AI’s research is oriented around robotics, understanding the natural language and machine vision and so on.

The main objective of GoodAI is to fabricate the general artificial intelligence by means of incorporating diversity algorithms and deep learning. They place AI safety and ethics at priority points when it comes to creating intelligences at a universal level. Along with creating a think tank for artificial intelligence, the research conducted by the GoodAI team covers AI applications in the real world such as robotics, self-driving cars and healthcare.

Maluuba, a project of Microsoft purchased in 2017, is in charge of deep reinforcement learning and GenervAI (AGI) investigations. They investigate cutting- edge AI approaches which focus on building systems with the abilities just like the decision- making capability and the autonomous learning ability. Through the application of Maluuba’s work, Microsoft is connected better to the line of research conducted in AI and cognitive computing.

These leading corporations specialized in AGI are developing it and making research for the appearance of mighty AGI, one of the technologies that will ultimately change the world. Although complete human-level intelligence in machines is a very complex and long-term task, these companies by increasing the limits and pushing the boundaries of artificial intelligence discusses this field. Constant watch on the heads in AGI creation can help us to follow the way they are changing the course of AI, therefore, again human-to-machine relationship definition.