Artificial intelligence has changed our way of life with innovative technologies. AI has taken every industry by storm and will have a profound impact on every sector of society. The term artificial intelligence was first used at a conference in 1956. The discussion at the conference led to Interdisciplinary Information Technology Natural Language Generation.
The advent of the Internet has helped technology grow exponentially. Artificial intelligence technology has been a stand-alone technology for thirty years, but now applications are widespread in all areas of life. Artificial intelligence is known by the acronym AL and is the process of recreating human intelligence in machines.
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Many new and emerging technologies are embedded in artificial intelligence. Start-ups are in a rat race to implement artificial intelligence for operational excellence, data mining, etc. Let us discuss 12 latest artificial intelligence technologies.
Top 12 Hot Artificial Intelligence Technologies
#1. Natural Language Generation
Even humans can find it tricky to communicate effectively and clearly. Likewise, processing information by machines is a completely different process than the human brain and is much trickier and more complex. Natural language generation is a sub-discipline of AI that converts text into data and helps systems communicate thoughts and ideas as clearly as possible. It is widely used in customer service to generate reports and market summaries.
#2. Remembering Words
Speech recognition is used to convert and transform human speech into a useful and comprehensive format for computer applications to process. Transcription and transformation of human language into useful formats are common these days and are developing rapidly. Companies such as NICE, Nuance Communications, OpenText, and Verint Systems offer speech recognition services.
#3. Machine Learning Platforms
Machine learning is a sub-discipline of computer science as well as an important branch of artificial intelligence. Its goal is to develop new methods to help computers learn and become more intelligent. Machine learning platforms are becoming more popular with the help of algorithms, APIs (Application Programming Interfaces), development, training tools, big data, and applications. They are widely used for classification and prediction.
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#4. Virtual Agents
A virtual agent refers to a computer agent or a program that can effectively interact with humans. Trending in the charts of the top 15 hot artificial intelligence technologies, it is currently used in customer service through chatbots as well as smart home managers. Companies offering virtual agents include Apple, Google, Amazon, Artificial Solutions, Assist AI, Creative Virtual, IBM, IPsoft, Microsoft, and Satisfy.
#5. Decision Management
Artificially intelligent machines have the ability to introduce logic to AI systems, preparing them to be used for training, maintenance, and tuning. To add value to the business and stay profitable, decision management is already being used by incorporating decision management into their applications to advance and execute automated decisions. Some of the companies that offer this service are Informatica, Advanced Systems Concepts, Mana, Pegasystems, and UiPath.
#6. AI Optimized Hardware
Due to better and better graphics as well as central processing units, devices are specially designed and used to execute AI-based tasks. A prominent example of this is an AI-optimized silicon chip that can be inserted into any portable device. Hence, companies and organizations are investing heavily in AI to accelerate next-generation applications. Companies like USM Business Systems, Alluviate, Google, Cray, Intel, IB, and Nvidia provide this technology service.
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#7. Deep Learning Platforms
Deep learning platforms are a form of machine learning that mimic the neural circuits of the human brain to process data and create models for decision-making. In this particular technique, the algorithms use artificial neural networks. Some of its applications are automated speech recognition, image recognition, and prediction of anything that can be sensed in the digital sphere. Deep learning platform providers include Deep Instinct, Ersatz Labs, Fluid AI, MathWorks, Peltarian, Saffron Technology, Sentient Technologies, and Leverton.
#8.Robotic Process Automation
Robotic process automation refers to the performance of corporate processes by simulating human tasks and automating them. In this particular sphere, it is important to remember that AI is not meant to replace humans but to support and complement their skills and talents. Companies such as Pega Systems, Automation Anywhere, Blue Prism, UIPath, and WorkFusion focus on this process.
#9. Peer-to-Peer Network
A peer-to-peer network helps connect different systems and computers for data sharing without transmitting data through a server. Peer-to-peer networks are capable of solving very complex problems. This technology is used in cryptocurrencies. Implementation is costly as individual workstations are connected and servers are not installed.
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#10. AL-Optimized Hardware
Artificial intelligence software is in high demand in the business world. As attention to software increases, so does the need for hardware to support the software. Conventional chip does not support artificial intelligence models. A new generation of artificial intelligence chips is being developed for neural networks, deep learning, and computer vision.
AL hardware includes CPUs to handle scalable workloads, special-purpose embedded silicon for neural networks, neuromorphic chips, etc. Companies like Nvidia and Qualcomm. AMD is creating chips that can perform complex AI calculations. Healthcare and automobile are likely industries that will benefit from these chips.
#11. Blockchain
Blockchain is popularized in the context of cryptocurrency and Bitcoin and the security it provides. However, it provides security that is useful in many other ways as well. Blockchain can be defined as data that you can add, not remove or change. This results in multiple segments of data forming a 'chain', hence the name blockchain.
The fact that existing data cannot be altered or removed makes blockchain a highly secure technology. Blockchains are consensus-driven, meaning no single person or organization can control the data. No third party is required to monitor transactions.
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#12. Internet of Things (IoT)
It is one of the most promising technologies of the decade. Today multiple devices or 'things' are WiFi-enabled, meaning they can be connected to the internet. The Internet of Things is a network of different connected devices. Devices on a network can communicate with each other, collect data and transfer it across the network without human intervention.
The End
To conclude, artificial intelligence services refer to computational models of intelligence. Intelligence can be described as structures, patterns, and operational functions that can be programmed for problem-solving, inference, natural language processing, etc. The benefits of using artificial intelligence have already been reaped in many fields. Organizations adopting artificial intelligence should run prerelease trials to eliminate biases and errors.
Design and patterns should be robust. After deploying artificial systems, organizations must continuously monitor different scenarios. Organizations should create and maintain standards and hire experts from various disciplines for better decision-making. The goal and future goals of artificial intelligence are to automate all complex human activities and eliminate errors and biases.
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