Why AI is the Next High Paying Skill to Learn
Why it matters: AI is the next high paying skill as learning AI skills will help contribute towards the positive impact of AI in the future of work.
Everything AI, Robotics, and IoT
Why it matters: AI is the next high paying skill as learning AI skills will help contribute towards the positive impact of AI in the future of work.
Why it matters: How Can We Make Chatbots Intelligent? Four essential features make the chatbots intelligent and these features are contextual understanding, perpetual learning, seamless agent handover, and voice technology.
Why it matters: What is the Internet of Things (IoT)? What is the Internet of Things (IoT)? IoT is going to be part of an eco-system that will transform our everyday lives for good. We are living in exciting times and observing these changes brought in by IoT, AI and Robotics.
Why it matters: What is LiDar? How is it Used in Robotic Vision? It is a remote sensing technology that uses lasers to measure distances and often used in robotic vision systems to help the robot navigate.
Why it matters: How Can 3D Imaging Improve Medical Imaging and Diagnoses – It has helped doctors personalize patient care. Let’s learn how?
Why it matters: Siri vs. Alexa vs. Cortana: Comparing Virtual Personal Assistants – Let us find out which one is better and why?
Why it matters: Has Any AI Passed the Turing Test? Let’s explore what Eugene Goostman’s success might mean for the future of artificial intelligence (AI).
Why it matters: 50 AI Terms You Should Know – Whether you’re completely new to AI or simply looking to expand your knowledge, it’s important to familiarize yourself with the key terms associated with it.
Why it matters: Best Examples of AI in Everyday Life – AI has already been integrated into a number of devices and applications that we use on a daily basis.
Why it matters: Is deep learning supervised or unsupervised? Deep learning can be supervised, unsupervised, semi-supervised, self-supervised, or reinforcement based, and it depends mostly on what the use case is and how one plans to use the neural network.