Artificial Intelligence (AI) technology evolves rapidly, and it has great potential in the future. According to the latest reports, the market size of AI is projected to reach $266.92 billion by 2027 with a Compound Annual Growth Rate (CAGR) of 33.2%. A lot of world-known brands and tech companies are already using AI-powered solutions to improve the service, engage customers, enhance customer experience, and increase efficiency and productivity. Text generation, face and speech recognition, automated translation, drug discovery are a few AI achievements that are worthy of your attention. AI-powered solutions are used by dozens of companies and implemented in different fields, changing a lot of industries and reshaping the landscape of health, learning, daily living, and so on.

Whether you realize it or not, AI has found its way into our daily life. The best examples are your smartphone's virtual assistant and Netflix's recommendation system. AI has also crept its way into education. Students use AI to improve their learning, while teachers leverage it for online assessment and identifying students' strengths and weaknesses. As we look at the future of education, we must ask the question: can AI make us smarter?

Artificial Intelligence (AI) seems to be a unique technology of making a machine, a robot fully autonomous. AI is an analysis of how the machine is thinking, studying, determining, and functioning when it is trying to solve problems. These kinds of problems are present in all fields, the most emerging ones, and even beyond. The aim of Artificial Intelligence is to enhance machine functions relating to human knowledge, such as reasoning, learning, and problems along with the ability to manipulate things. For example, virtual assistants or chatbots offer expert advice.

Apple is late to the consumer priced smart speaker market, but it finally joined Amazon and Google with the $99 HomePod Mini. Here's what you need to know: The Mini is way smaller in size than both the new Amazon Echo fourth generation speaker and Google Nest Audio. And while it doesn't sound as great for music as either of them, (it is way smaller, after all) in our unscientific home ears test, it probably doesn't matter. This is a really useful speaker for anyone living in the Apple ecosystem and it makes the Siri personal assistant way more competitive with Amazon's Alexa and the Google Assistant. The HomePod Mini sounds fantastic as a TV speaker.

We present a new approach to dialogue specification for Virtual Personal Assistants (VPAs) based on so-called dialogue workflow graphs, with several demonstrated advantages over current ontology-based methods. Our new dialogue specification language (DSL) enables customers to more easily participate in the VPA modeling process due to a user-friendly modeling framework. Resulting models are also significantly more compact. VPAs can be developed much more rapidly. The DSL is a new modeling layer on top of our ontology-based Dialogue Management (DM) framework OntoVPA. We explain the rationale and benefits behind the new language and support our claims with concrete reduced Level-of-Effort (LOE) numbers from two recent OntoVPA projects.

Conversational practice, while crucial for all language learners, can be challenging to get enough of and very expensive. Chatbots are computer programs developed to engage in conversations with humans. They are designed as software avatars with limited, but growing conversational capability. The most natural and potentially powerful application of chatbots is in line with their fundamental nature - language practice. However, their role and outcomes within (in)formal language learning are currently tangential at best. Existing research in the area has generally focused on chatbots' comprehensibility and the motivation they inspire in their users. In this paper, we provide an overview of the chatbots for learning languages, critically analyze existing approaches, and discuss the major challenges for future work.

Have you ever used Google Assistant, Apple's Siri or Amazon Alexa to make decisions for you? Perhaps you asked it what new movies have good reviews, or to recommend a cool restaurant in your neighbourhood. Artificial intelligence and virtual assistants are constantly being refined, and may soon be making appointments for you, offering medical advice, or trying to sell you a bottle of wine. Although AI technology has miles to go to develop social skills on par with ours, some AI has shown impressive language understanding and can complete relatively complex interactive tasks. In several 2018 demonstrations, Google's AI made haircut and restaurant reservations without receptionists realising they were talking with a non-human.

The very mention of Artificial Intelligence reminds most people of movies like the Terminator but in actuality, AI is already very present in our daily lives making things much easier for us in a multitude of fields. For example, according to a Harvard Business Review study, companies that were using AI for sales managed to bring in 50% more leads and reduce their costs by 40%-60%. AI applications are not necessarily actual robots walking about the office. In most cases, it means the introduction of software and tools that make conducting business easier, more affordable, and faster by automating as much as possible. Mathematician Alan Turing was the first to really ask the question'Can machines think?'.

Artificial Intelligence is a very trending topic in the current competitive world. AI is offering smart business solutions to small and large enterprises. The AI is also benefiting the eCommerce in a large way. AI technology has helped e-commerce to reach greater heights. In other words, AI is revolutionizing the mobile app world and the whole structure of businesses.

The dynamic software agents of Robotic Process Automation represent many things to the modern enterprise. They're simultaneously a digital workforce of tireless, ubiquitous employees, a cogent means of actuating statistical Artificial Intelligence, and a critical platform to effect low code workplace automation. Not surprisingly, Gartner projects RPA revenues to increase nearly 20 percent to total approximately 1.9 billion in 2021. But when the agency of these bots is amalgamated across easily accessible interfaces for any number of comprehensive use cases, they become something altogether more than digital agents: they become digital assistants, as easy to use as Siri, yet much more actionable for mission critical workloads. According to Automation Anywhere CTO Prince Kohli, synthesizing the prowess of bots into a digital assistant enables it "to orchestrate a process, which is more than starting and stopping bots.