Categories
Uncategorized

Unsupervised Learning With Minimalism

4

A demonstration of Unsupervised AI might be when a robot can think and act responsibly within a given environment, akin to what humans would typically do. In order for machines to replicate human intelligence they require two critical elements, as do humans; time and data. A human exhibits intelligence by first collecting/absorbing data over a period of time. With the integration of data and time markers, any machine that can replicate cognitive processes may exhibit intelligence.

An actual unsupervised learning machine requires negligible human interference. In the same way that a human baby expands its intelligence through observation and guidance, an autonomous machine may evolve simply by observation. Guidance expedites the learning process; however, it might have further implications. You could say that if you aim to prepare a machine for unsupervised learning, you simply need to install an application that will faithfully collect data from an array of integrated sensors. These data will be employed for learning and decision making, and subsequently, these decisions are coordinated back to various motor components without any human interference in the routine. This translates to the negation of tech companies or multiple engineers that might otherwise be necessary to make the machine capable.

Categories
Uncategorized

Framework for Absolute Knowledge (Singularity)

We are rapidly advancing toward a world of perfect knowledge. With countless sensors gathering data increasingly ubiquitously (e.g., autonomous cars, satellite systems, drones, wearable devices, cameras), we will be able to know practically anything we wish, anytime and anywhere, as well as have the capacity to query vast data repositories for insights and answers.

The “Internet of Everything” (IoE) encompasses the progressively extensive network of intimate connectivity between devices, people, processes, and data. It is estimated that by 2025, the IoE will exceed 100 billion connected devices, with each containing a dozen or more sensors for the acquisition of data. This will culminate in a trillion-sensor economy, which enables a data revolution that is beyond our imagination.

In order to be able to render perfect knowledge (absolute knowledge), perfect knowledge may be defined as the acquisition and subsequent availability of all data associated with a given environment in order to generate accurate intelligence through the incorporation of every parameter (both visible and hidden) within that environment. To achieve technological singularity, we need to achieve the state of absolute knowledge.

Conventional robots, which are specifically developed to carry out dedicated functions including floor cleaning, restaurant assistance, game playing, and as companions, possess predefined rules within AI modules, which can perform and learn within the scope of assigned functions.