The Future Of Artificial Intelligence

The Future of Artificial Intelligence

The latest innovations in artificial intelligence are transforming the digital landscape and changing the lives of human beings in an unprecedented way. For the first time in the history of mankind, human intelligence will be replaced by artificial machines. This transformative change is being accelerated by sophisticated technologies based on artificial intelligence, machine learning, and deep neural networks. In the following paragraphs, the latest AI technology and the top trends of Artificial Intelligence witnessed have been summarized: 

AI-Powered Chips

Major chip manufacturing companies are aspiring to develop AI-powered chips that will accelerate the runtime of the applications dependent on AI. AI applications such as speech recognition and computer vision involve complex mathematical calculations making it difficult for the CPU systems to complete these applications at a significantly faster speed. AI-powered chips will revolutionize artificial intelligence’s future evolution.

Flying Autonomous Vehicles

Companies such as Airbus and Uber technologies are investing in the development of self-flying vehicles. The goal of self-flying vehicles is to improve traveling conditions in densely populated areas, ensure speedy delivery of goods and economic air travel. In fact, Amazon has also launched a drone delivery initiative with the aim of improving their delivery of goods and services through a drone.

Autonomous Driving Level 5

Autonomous driving level 5 refers to full automation of the vehicle, which means that the vehicle can function completely without any human intervention. Level 5 vehicles must be able to gather data of their surroundings and be able to control all driving tasks in different conditions. Fully autonomous vehicles will allow people to use their commute time more efficiently. Various concepts such as a gym or workspace being installed in these autonomous vehicles are emerging.

Facial Recognition

With extensive research being conducted on facial recognition, it will continue being an important part of how artificial intelligence will change the future. It is claimed to be the fingerprint recognition of tomorrow, as its usage will be widely observed. There are many types of research being conducted on detecting people by analyzing their heartbeat. As detection accuracy continues to enhance, its application will expand exponentially.

Conversational AI Platform

Conversational AI platforms offer a developer API so that third parties can build and customize conversational user interfaces, virtual assistants and chatbots. Currently, its application includes messaging style and rule-based chatbot for customer services. In order to enhance customer experience efforts are being made so that these chatboxes are able to handle more complex cases that are better able to comprehend the user’s intent.

Edge AI

Edge AI involves the use of AI techniques such as machine learning, deep neural networks, computational logic and optimization embedded in IoT endpoints, gateways, and edge devices. IoT and AI can operate together in three different ways: IoT data being used as the input to AI system, AI techniques as the application to the IoT system or both IoT and AI techniques combined together for mutual benefit. Currently, there is research and trials being conducted to enable adoption of edge AI in applications like autonomous navigation, network availability, and video analytics.

Autonomous Mobile Robots

Next-generation autonomous mobile robots (AMR) will function independently without any human intervention with the help of enhanced sensors, navigation and intelligence. A new type of AMR will have multiple motion and sound detectors and the ability to

self-navigate beyond the rigid form of navigation (i.e wires, floor tags) and counter unexpected scenarios. The technology of this kind will benefit manufacturing facilities by improving compliance and traceability.

Connected Home

A connected home is designed to allow home automation. Multiple devices and apps are linked to media entertainment, home security, monitoring, energy management, and healthcare. Virtual private assistants like Amazon Echo and Google Home have made the concept of connected home popular and efforts are being made to leverage machine learning techniques and analytics engine to go beyond the programmable home and create an intelligent home for AI technology in the future.

Smart Workspace

Smart workspace leverages IoT, AI, indoor mapping and smart buildings to revolutionize the workspace by introducing new ways of working, collaborating, and scheduling and coordinating faculty services. In order to take advantage of this concept, organizations will have to alter the design of their workspace and comprehend the complex interaction of humans with physical spaces.


AI PaaS offers AI model building tools, APIs, cover vision, the prediction model of various types and general data classification. The AI cloud approach of AI PaaS is disrupting the established on-premises data science and machine learning platform market. In the future, AI PaaS is aiming to rapidly build and deploy AI solutions.

Artificial intelligence is undoubtedly where the future of all the technologies is headed, from smart devices to smart homes – it shall be omnipresent in our daily lives. Hence, if you think your company deserves this much-needed upgrade, then you need to make your company’s personal blueprint for this shift.

For this daunting yet crucial business move, you need experts that deliver end-to-end solutions, without you having to break a sweat about excessive research on the growth prospects. GlobalVox takes pride in its customer-centric, consultation approach to help make AI implementations of any scale completely hassle-proof. With our expertise in both technical and consulting fronts, we ensure that the customers do not make any decisions based on the fads, but by truly understanding the value of artificial intelligence future.

The main Artificial Intelligence Services you should be implementing.

These different ways of using AI have multiple various branches that come in handy for various custom needs. For instance, when you are aiming for developing object or face recognition, you would need the help of implementing computer vision in your devices. Ranging from predicting stock market trends to Deep Learning embedded Virtual Assistants, the myriad of ways in which you can create custom solutions for your business, has become a playground of ideas that efficiently drive results.

The article was first posted in Techdim

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