With new technologies like AI, opportunities have emerged to adopt facial recognition in a variety of different domains. Today, there are many success stories where AI has provided reliable and accurate face recognition technology. This article examines some of its potential use cases.
AI tools are used across all design disciplines. To help you create faster and more efficiently, we listed a few AI-powered tools that allow you to do everything from turning a photo into a painting and creating wireframes to designing logos and marketing materials.
We spoke with Charles Simon, founder of FutureAI.guru, about the current state of artificial intelligence and machine learning, Brain Simulator II, and more. Charles Simon discusses “Sallie”, an artificial entity being developed on the FutureAI platform, and what applications can benefit from it.
In this article Mike Loukides, Vice President of Emerging Tech at O’Reilly, discusses some of the currently most hyped, hotly debated, and discussed technologies. Do they have any real-world potential, or are they just full of hot air and hyperbole? Let’s have a look at some of the rising topics.
Today, machine learning has expanded far beyond simple games of checkers. Although there is still room for innovation, this technology has seen tremendous improvement. And with its many applications, it is moving into the public consciousness as well.
It’s possible to accelerate and improve vaccine development and rollout by involving AI. This article describes use cases and tools that AI healthcare companies and research teams built to facilitate vaccine design, speed up trials, predict mutations, prioritize patients, and address vaccine hesitancy.
The world is facing a global AI talent shortage, so while there’s a great demand for NLP implementations, the supply of data scientists needed to bring these projects to life are limited. But what if we could democratize NLP, reducing the need for data scientist intervention?
When it comes to the more creative tasks, natural language processing (NLP) lacks one thing: the human touch. However, this could soon change thanks to one simple technique we as humans use to learn language: listening. Google is now training its NLP algorithms with human dialogue.
We’ve all had our fair share of experiences with a bad chatbot, but chatbots are getting smarter and research shows that they will reach a 90% customer interaction success rate by 2022. Here are some key chatbot mistakes you don’t want to make and how to avoid common pitfalls.
Dan Turchin, CEO of PeopleReign, talked with us about the benefits of AI-based virtual agent systems in the enterprise. How are they being used by organizations today? What are the practical benefits and the broader impact of virtual agent technology on employees and companies?
Some believe that artificial general intelligence (AGI) will wipe out the human race, while others are confident it will lead to a utopian society. Between these extremes, most people anticipate major changes as AGI becomes more prevalent. What are the risks and dangers that will emerge?
To be the next-generation voice assistant, you need to be a concierge that truly understands your user’s preferences, learns them, and keeps track of context for personalized results. How do you keep track of preferences and other relevant activities such as recent searches?
Chatbots do more than just messaging. They are rapidly adding value to conversations and have context-driven intelligence that aims to solve customer problems in a convenient matter. This is just the tip of the iceberg. In this article, we will talk about the must-haves in your chatbot testing checklist.
How do you create Artificial General Intelligence (AGI)? No one precisely knows. If we wait for a complete understanding with robust mathematical models of AGI, we may never get started. Given that, a more experimental and iterative development approach is in order.
