The future of artificial intelligence and what will it look like
Artificial intelligence has come a long way from being just a science fiction dream to a reality which we see today. The world is evolving at a rapid pace and with it the technologies are being upgraded and are getting better too.
Artificial intelligence has come a long way from being just a science fiction dream to a reality which we see today. The world is evolving at a rapid pace and with it the technologies are being upgraded and are getting better too. Today we have more power in our pocket than we had in our homes in the 1990s. Not long ago, holograms and smartphones were just science concepts but now the smartphones can check our health as the technology is evolving.
Some of the application areas of artificial intelligence are health, education, entertainment, services, security and many other domains but these fields are specifically the most to benefit from this technology. People are beginning to explore the benefits of AI and how it can ease their life. Artificial Intelligence and Machine Learning go hand-in-hand so that machines can learn about critical programs to gain knowledge and respond to demands to perform similar human-like tasks.
Artificial Intelligence enables a machine to self-learn from experiences and human intervention which finally provides us with human-like capabilities for interaction and problem-solving potential. From chess-playing computers to self-driving cars, AI is present in many areas which we not might have thought of. AI makes use of Deep Learning and Natural Language Processing (NLP) to accomplish tasks like these which drives automation and intelligent processes.
Recently the most progressed fields are Augmented Reality, Virtual Reality, Voice Assistance and Artificial Intelligence, and people are beginning to wonder what the future might be like with this kind of technology. To explain these technologies in 2 lines I would like to start with Augmented Reality, which combines virtual objects with the real world which gives an interactive experience by computer-generated perceptual information.
Another one is the Virtual Reality which is a computer-generated simulation of a 3D image which can be interacted in a real or physical way through an electronic device which has sensors. Last but not the least is the Voice assistance which has been with us for many years now but the enhancements in AI has provided more room for improvement in voice-assisted technology.
There are many examples of AR which are being used by individuals and industries like; IKEA uses the application Place, which they have recently released so that customers can check how different types of furniture look in their home which simplifies purchase decisions for the customers. Niantic’s Pokemon Go, an Augmented Reality based smartphone game, enables the player to catch Pokemon on real-time locations.
Automaker Company Ford uses Microsoft’s HOLO LENS to design cars and experiment with new designs. Other automakers, Audi and Cadillac use Virtual Reality to enhance the customer experience so that the buyers can see the car model and the features. So in short what I mean to say is that nowadays industry giants have started implementing technologies like AR and VR in their fields and are experiencing a much better way to run their business.
Examples for Voice assistance technology are Apple’s Siri, Samsung’s S Voice, Microsoft’s Cortona and Google Assistant. A lot of development has been made in the field of AI in the last few years which has motivated developers and companies to create more products and services around it.
These are some of the points which suggest why Artificial Intelligence is important:
1. Repetitive Learning though data
AI carries out continuous computerized tasks which are high volume and automated. Through Deep Learning, AI seeks to get in-depth information about a problem or a query raised by an individual. Human inquiry is still important to ask the right question so that the learning is in the right direction.
2. Adding Intelligence
Products which are already in use are improved through the integration of AI capabilities. Different types of components like automation, learning bots and conversational platform can be merged together along with huge amounts of data to improve the product or the service through AI.
3. Adapting to newer algorithms
AI continuously learns newer algorithms through structured data available to it where a new skill is acquired in order to provide newer experiences. An algorithm is important to solve a certain case or a problem. When new models are introduced, AI automatically learns through training and added data.
4. Deeper Insights
More and more analysis of data leads to a deeper understanding of the database available to AI and through neural networks many hidden layers can be uncovered. With the highest compute power, various models can be trained to go deep into data to get more relevant out of it.
5. Incredible Accuracy
The most appropriate example to define this point will be Google search and Google photos which gets better as we continuously use them. Through deep neural networks, AI achieves higher accuracy to dive deep into data and select patterns of the users which can be helpful in providing similar results.
6. Proper utilization of data
The algorithms are self-learning and the data is used appropriately and excessively by AI which helps bring out the best results out of the big data. Since the data is important now than ever before, it creates a competitive advantage because many newer techniques or solutions and be uncovered through proper analysis.
Artificial Intelligence can benefit the lives of each and every individual because it has the potential to offer a technology which can be implemented in day-to-day life and would make their lives easier. There are multiple areas which can benefit from AI and this will result in a reduction of human efforts, costs, and labour. Industries and Enterprises are already using AI in their business processes and have started seeing the difference through high efficiency, lower operating costs and faster decision making.